Tag Archives: Photonic Inc.

DARPA (US Defense Advanced Research Projects Agency) selects 11 companies for QBI: Quantum Benchmarking Initiative stage B development

I’ve been meaning to post this update about the US Defense Advanced Research Projects Agency’s (DARPA) Quantum Benchmarking Initiative for quite some time. All three Canadian companies mentioned here in my August 8, 2025 posting “Canadian quantum companies chase US DARPA’s (Defense Advanced Research Projects Agency) $$$ and RIP Raymond Laflamme,” are still in the race.

From a December 1, 2025 article by Matt Swayne for the Quantum Insider, Note: Links have been removed,

Insider Brief

  • DARPA has advanced 11 companies to Stage B of its Quantum Benchmarking Initiative, moving the program from conceptual proposals to technical validation of utility-scale quantum computing architectures.
  • Stage B will evaluate each company’s R&D plans, risk-mitigation strategies, and prototype roadmaps to determine whether their approaches are realistic and scalable.
  • The initiative aims to assess whether an industrially useful quantum computer—one whose computational value exceeds its cost—can be developed by 2033.

What Does Stage B Mean for DARPA’s Quantum Benchmarking Initiative?

The Defense Advanced Research Projects Agency (DARPA) has moved its flagship quantum computing effort, the Quantum Benchmarking Initiative (QBI), into its next phase — or Stage B — a shift from conceptual review toward rigorous technical validation of utility-scale quantum architectures. A total of 11 companies have moved into Stage B, according to the DARPA project web page.

Under the initiative’s three-stage scheme, participants must first present a plausible architecture (Stage A), then a detailed R&D plan (Stage B), and finally undergo independent verification of hardware (Stage C).

Which Companies Are Advancing to Stage B and What Qubit Technologies Do They Use?

DARPA reports the following companies (with their qubit technology approach) have been selected for Stage B at this time:

CompanyLocationQubit Approach
Atom ComputingBoulder ColoradoNeutral atom arrays
DiraqSydney and US locationsSilicon CMOS spin qubits
IBMYorktown Heights New YorkModular superconducting processors
IonQCollege Park MarylandTrapped ions
Nord QuantiqueSherbrooke CanadaSuperconducting qubits with bosonic correction
Photonic Inc.Vancouver CanadaOptically linked silicon spin qubits
QuantinuumBroomfield ColoradoTrapped ion QCCD architecture
Quantum MotionLondon UKMOS silicon spin qubits
QuEra ComputingBoston MassachusettsNeutral atom arrays
Silicon Quantum ComputingSydney AustraliaPrecision atom qubits in silicon
XanaduToronto CanadaPhotonic quantum computing

The list may grow, according to DARPA, adding that It is likely but not guaranteed that additional teams will enter Stage B in the future. DARPA plans to announce any additional promotion decisions once they contracted with those teams.

Can a Useful Quantum Computer Be Developed by 2033?

By selecting multiple firms for Stage B, DARPA signals that it believes certain concepts presented in Stage A met the threshold of plausibility. The initiative’s ultimate goal is to assess whether an industrially-useful quantum computer can be developed by 2033 — defined as a system whose computational value outweighs its cost.

The move from conceptual review to rigorous validation suggests DARPA is narrowing focus from “could this work” to “can this be built.”

What Will DARPA Evaluate During Stage B and How Will Firms Advance?

During Stage B (estimated to last about one year), DARPA will assess each performer’s R&D plan, prototype roadmap, risk-mitigation strategy and manufacturing pathway. After satisfactory review, select firms will proceed to Stage C, where independent verification and validation teams will test actual hardware against benchmarks.

You can find out more about DARPA’s QBI: Quantum Benchmarking Initiative here.

Electrically and optically controlled silicon-based quantum device created by Simon Fraser University (SFU) physicists

A September 18, 2025 Simon Fraser University (SFU; Vancouver, Canada) news release (also on EurekAlert) announced a step forward in the race to build a quantum computer, Note: Links have been removed,

A pioneering team of scientists at Simon Fraser University have created a new type of silicon-based quantum device controlled both optically and electrically, marking the latest breakthrough in the global quantum computing race.

Published in the journal Nature Photonics, researchers at the SFU Silicon Quantum Technology Lab and leading Canada-based quantum company Photonic Inc. reveal new diode nanocavity devices for electrical control over silicon colour centre qubits.

The devices have achieved the first-ever demonstration of an electrically-injected single-photon source in silicon. The breakthrough clears another hurdle toward building a quantum computer – which has enormous potential to provide computing power well beyond that of today’s supercomputers and advance fields like chemistry, materials science, medicine and cybersecurity.

“Previously, we controlled these qubits, called T centres, optically (with lasers),” says Daniel Higginbottom, assistant professor of physics. “Now we’re introducing electrical control as well, which increases the device capability and is a step toward applications in a scalable quantum computer.”

According to PhD candidate Michael Dobinson, the lead author of the study, the breakthrough will allow the research team to explore the different applications of the devices and the feasibility of scaling them up in larger quantum processors.

“This first demonstration shows that we can fabricate devices which allow for simultaneous optical and electrical control of T centres. This is exciting as it open the door to many applications in quantum computing and networking,” says Dobinson. “Overall, the optical and electrical operation combined with the silicon platform makes this a very scalable and broadly applicable device.”

The SFU lab’s leads, Stephanie Simmons and Mike Thewalt, co-founded Photonic Inc., to develop commercial-scale quantum computers and quantum networks.

The company, which recently announced plans to establish a research and development facility in the U.K., was an integral partner in the latest study.

Christian Dangel, manager, quantum devices in the Integrated Photonics team at Photonic Inc. and a co-author of the manuscript says, “This project was a great opportunity to leverage Photonic’s advanced fabrication capabilities and test their performance in next-generation devices in a research environment.”

Researchers at the Silicon Quantum Technology Lab were among the first in the world to explore using silicon colour centres for quantum technology.

Developing quantum technology using silicon provides opportunities to rapidly scale quantum computing. The global semiconductor industry is already able to inexpensively manufacture silicon computer chips at scale, with a staggering degree of precision. This technology forms the backbone of modern computing and networking, from smartphones to the world’s most powerful supercomputers.

“Our colleagues Stephanie Simmons and Mike Thewalt first proposed silicon colour centres as a platform for quantum computing at a time when very few people were thinking about them at all,” says Higginbottom.

Now, national governments, including Canada through its National Quantum Strategy, major universities and corporations like IBM, Google and Microsoft are spending billions of dollars in a scramble to be first out of the gate with a scalable quantum computer.

Higginbottom says being at the forefront of the field has been a thrilling experience.

“It fits into this trajectory that we’ve been on. In 2020, SFU first introduced silicon T centers for quantum applications. In 2022, we integrated Single T centers with patterned nanophotonic devices,” he says. “But those devices didn’t have any interfaces or controls. Now we’re controlling them optically and electronically. We’re unlocking some of the capabilities that you need to build a useful computer out of these things.”

Here’s a link to and a citation for the paper,

Electrically triggered spin–photon devices in silicon by Michael Dobinson, Camille Bowness, Simon A. Meynell, Camille Chartrand, Elianor Hoffmann, Melanie Gascoine, Iain MacGilp, Francis Afzal, Christian Dangel, Navid Jahed, Michael L. W. Thewalt, Stephanie Simmons & Daniel B. Higginbottom. Nature Photonics volume 19, pages 1132–1137 (2025) DOI: https://doi.org/10.1038/s41566-025-01752-8 Published online: 11 September 2025 Version of record: 11 September 2025 Issue date: October 2025

This paper is behind a paywall.

Canadian quantum companies chase US DARPA’s (Defense Advanced Research Projects Agency) $$$ and RIP Raymond Laflamme

Canada’s quantum community, i.e., three companies, are currently ‘competing’ for US science funding. It seems like an odd choice given all of the news about science funding cuts and funding freezes along with the Trump administration’s chaotic and, increasingly, untrustworthy government management.

On April 3, 2025 the US Defense Advanced Research Projects Agency (DARPA) announced that approximately 20 companies were embarked on what they describe as Stage A of the Quantum Benchmarking Initiative (QBI) ‘challenge’,

Here’s more from that April 3, 2025 DARPA notice,

Nearly 20 quantum computing companies have been chosen to enter the initial stage of DARPA’s Quantum Benchmarking Initiative (QBI), in which they will characterize their unique concepts for creating a useful, fault-tolerant quantum computer within a decade.

QBI, which kicked off in July 2024, aims to determine whether it’s possible to build such a computer much faster than conventional predictions. Specifically, QBI is designed to rigorously verify and validate whether any quantum computing approach can achieve utility-scale operation — meaning its computational value exceeds its cost — by the year 2033.

“We selected these companies for Stage A following a review of their written abstracts and daylong oral presentations before a team of U.S. quantum experts to determine whether their proposed concepts might be able to reach industrial utility,” said Joe Altepeter, DARPA QBI program manager. “For the chosen companies, now the real work begins. Stage A is a six-month sprint in which they’ll provide comprehensive technical details of their concepts to show that they hold water and could plausibly lead to a transformative, fault-tolerant quantum computer in under 10 years.”

The following companies* are pursuing a variety of technologies for creating quantum bits (qubits) — the building block for quantum computers — including superconducting qubits, trapped ion qubits, neutral atom qubits, photonic qubits, semiconductor spin qubits, and other novel approaches listed below:

  • Alice & Bob — Cambridge, Massachusetts, and Paris, France (superconducting cat qubits)
  • Atlantic Quantum — Cambridge, Massachusetts (fluxonium qubits with co-located cryogenic controls)
  • Atom Computing — Boulder, Colorado (scalable arrays of neutral atoms)
  • Diraq — Sydney, Australia, with operations in Palo Alto, California, and Boston, Massachusetts (silicon CMOS spin qubits)
  • Hewlett Packard Enterprise — Houston, Texas (superconducting qubits with advanced fabrication)
  • IBM — Yorktown Heights, NY (quantum computing with modular superconducting processors)
  • IonQ — College Park, Maryland (trapped-ion quantum computing)
  • Nord Quantique — Sherbrooke, Quebec, Canada (superconducting qubits with bosonic error correction)
  • Oxford Ionics — Oxford, UK and Boulder, Colorado (trapped-ions)
  • Photonic Inc. — Vancouver, British Columbia, Canada (optically-linked silicon spin qubits)
  • Quantinuum — Broomfield, Colorado (trapped-ion quantum charged coupled device (QCCD) architecture)
  • Quantum Motion — London, UK (MOS-based silicon spin qubits)
  • QuEra Computing — Boston, Massachusetts (neutral atom qubits)
  • Rigetti Computing — Berkeley, California (superconducting tunable transmon qubits)
  • Silicon Quantum Computing Pty. Ltd. — Sydney, Australia (precision atom qubits in silicon)
  • Xanadu — Toronto, Canada (photonic quantum computing)

Companies that successfully complete Stage A will move to a yearlong Stage B, during which DARPA will rigorously examine their research and development approach, followed by a final Stage C where the QBI independent verification and validation (IV&V) team will test the companies’ computer hardware.

“During Stage B we’ll thoroughly review all aspects of their R&D plans to see if they can go the distance — not just meet next year’s milestones — and stand the test of trying to build a transformative technology on this kind of a timeline,” Altepeter explained. “Those who make it through Stages A and B will enter the final portion of the program, Stage C, where a full-size IV&V team will conduct real-time, rigorous evaluation of the components, subsystems, and algorithms – everything that goes into building a fault-tolerant quantum computer for real. And we’ll do all these evaluations without slowing the companies down.”

QBI is not a competition between companies [emphasis mine]; rather, it aims to scan the landscape of commercial quantum computing efforts to spot every company on a plausible path to a useful quantum computer.

DARPA recently announced that Microsoft and PsiQuantum are entering the third and final phase of the Underexplored Systems for Utility-Scale Quantum Computing (US2QC) program, a pilot effort that was expanded to become QBI. Both companies were participating in the second phase of US2QC when the QBI expansion was announced. The final Phase of US2QC has the same technical goals as Stage C of QBI – verification and validation of an industrially useful quantum computer.

“We’ve built and are expanding our world-class IV&V team of U.S. quantum experts, leveraging federal and state test facilities to separate hype from reality in quantum computing,” Altepeter said. “Our team is eager to scrutinize the commercial concepts, designs, R&D plans, and prototype hardware — all with the goal of helping the U.S. government identify and support efforts that are genuinely advancing toward transformative, fault-tolerant quantum computing.”

For more information on QBI visit: www.darpa.mil/QBI.

*16 of the 18 companies are being announced; two are still in negotiations. DARPA will update this announcement once their agreements are signed.

Editor’s Note: This update was edited on April 29, 2025 to add QuEra Computing to the list of companies selected for Stage A.

This sounds like DARPA will pick and choose which bits of technology it may want to develop. Also, who owns the technology? An April 5, 2025 article by Sean Silcoff and Ivan Semeniuk for the Globe and Mail raises the question and answers it (more or less), Note: I have the paper version of the article,

Three Canadian quantum computer companies are in the running for up to US$316-million apiece in funding from the US government if they can prove within eight years that their machines will work at scale.

The companies – Xanadu Quantum Technologies Inc. of Toronto , Vancouver-based Photonics Inc. and Nord Quantique from Sherbrooke, Que. – are among 18 groups from Canada, the US, Britain, and Australia that have qualified for the first stage (Stage A) of the Quantum Benchmarking Initiative (QBI).

QBI is not meant to choose a winner and fund your research and development plan, [emphasis mine]” said Dr. Joe Altpeter, the QBI’s program manager. Rather, the program is structured to reward only those that can quickly execute against their roadmaps and deliver something useful.

However, making it through will likely anoint a winner or winners in the global race to develop a working quantum computer. [emphasis mine]

“I can’t think of any other program that has generated this much excitement and interest from startups and big companies – and a lot of investors know about it,” said Christian Weedbrook, Xanadu’s founder and chief executive officer [CEO].

Quantum computer developers have collectively raised and spend billions of dollars so far, and QBI will likely influence financiers in determining who to continue backing.

Conversely, “groups that don’t get in will be challenged to raise venture capital,” said Ray [Raymond] Laflamme, co-chair of the federal Quantum Advisory Council. The council has recommended the Canadian government provide matching funds [emphasis mine] to any domestic company that makes it through QBI.

Council co-chair Stephanie Simmons, who is also the founder and chief quantum officer [CQO] of Photonic, said the US government will gain access to “deep knowledge that other governments won’t have” [emphasis mine] through QBI.

That will give them geopolitical and other advantages [emphasis mine] that are important in the upcoming economy.” Creating a matching program here would mean “This information would also be owned by the Canadian government.”

“I would love to be proved surprised if companies make it through the gauntlet, you’re really will to advocate for them inside the US government in rooms that they can’t go to and say, ‘Look, we did our best to show this doesn’t work, these guys made it, they can really build this thing,'” he [Dr. Joe Altpeter] said adding that the program was designed to a “simple, cheap way” to determine that.

Mr. Laflamme agreed that QBI “is a very smart way for the US to keep at the front. By tis, the US will who has the lead in the world and people are, everywhere.” [p. B11 paper version]

Clearly, the US has much to gain from this ‘non-competition’. It’s not clear to me what Canada will gain.

One quick note. D-Wave Systems is mentioned in Silcoff’s and Semeniuk’s April 5, 2025 article and described as a Canadian company. That is questionable. It was headquartered in the Vancouver area, British Columbia, Canada for a number of years but is now, according to its Wikipedia entry, headquartered in Palo Alto, California, US (see the sidebar). The company retains laboratories and offices in British Columbia.

It would seem that Silcoff’s and Semeniuk’s April 5, 2025 article hosted one of M. Laflamme’s last interviews.

RIP Raymond Laflamme, July 19, 1960 – June 19, 2025

I’ve had to interview more than one ‘horse’s behind’ (two members of the forestry faculty at the University of British Columbia spring to mind); M. Laflamme was most assuredly not one of them. It was a privilege to interview him for a May 11, 2015 posting about Research2Reality, a Canadian social media engagement project (scroll down to the subhead with his name),

Who convinces a genius that he’s gotten an important cosmological concept wrong or ignored it? Alongside Don Page, Laflamme accomplished that feat as one of Stephen Hawking’s PhD students at the University of Cambridge. Today (May 11, 2015), Laflamme is (from his Wikipedia entry)

… co-founder and current director of the Institute for Quantum Computing at the University of Waterloo. He is also a professor in the Department of Physics and Astronomy at the University of Waterloo and an associate faculty member at Perimeter Institute for Theoretical Physics. Laflamme is currently a Canada Research Chair in Quantum Information.

The Council of Canadian Academies’ (CCA) July 22, 2025 The Advance newsletter (received via email) held this notice, Note: A link has been removed,

And Ray Laflamme, the theoretical physicist and Canada Research Chair in Quantum Information, died on June 19 [2025] following a lengthy battle with cancer. Laflamme, founding director of the Institute for Quantum Computing at the University of Waterloo, served as chair of our Expert Panel on the Responsible Adoption of Quantum Technologies. …

I have a commentary on the CCA report issued by Laflamme and his expert panel. The report was published in November 2023 and my commentary published in two parts about 15 months later,

To wildly paraphrase John Donne (For Whom the Bell Tolls), M. Laflamme’s death diminishes us but more importantly his life enhanced us all in ways both small and large. Thank you.

And the quantum goes on

Members of the Canadian quantum community that M. Laflamme helped build have recently announced a breakthrough. From a July 10, 2025 TRIUMF news release (also on Quantum Wire), Note: A link has been removed,

A cross-Canada team of researchers have brought quantum and generative AI together to prepare for the Large Hadron Collider’s next upgrade.

In the world of collider physics, simulations play a key role in analyzing data from particle accelerators. Now, a cross-Canada effort is combining quantum with generative AI to create novel simulation models for the next big upgrade of the Large Hadron Collider (LHC) – the world’s largest particle accelerator [located at the European particle physics laboratory CERN, in Switzerland].

In a paper published in npj Quantum Information, a team that includes researchers from TRIUMF, Perimeter Institute, and the National Research Council of Canada (NRC) are the first to use annealing quantum computing and deep generative AI to create simulations that are fast, accurate, and computationally efficient. If the models continue to improve, they could represent a new way to create synthetic data to help with analysis in particle collisions

Why simulations are essential for collider physics

Simulations broadly assist collider physics researchers in two ways. First, researchers use them to statistically match observed data to theoretical models. Second, scientists use simulated data to help optimize the design of the data analysis, for instance by isolating the signal they are studying from irrelevant background events.

“To do the data analysis at the LHC, you need to create copious amounts of simulations of collision events,” explains Wojciech Fedorko, one of the principal investigators on the paper and Deputy Department Head, Scientific Computing at TRIUMF, Canada’s particle accelerator centre in Vancouver. “Basically, you take your hypothesis, and you simulate it under multiple scenarios. One of those scenarios will statistically best match the real data that has been produced in the real experiment.”

Currently, the LHC is preparing for a major shutdown in anticipation of its high luminosity upgrade. When it comes back online, it will require more complex simulations that are reliably accurate, fast to produce, and computationally efficient. Those requirements have the potential to create a bottleneck, as the computational power required to create these simulations will no longer be feasible.

“Simulations are projected to cost millions of CPU years annually when the high luminosity LHC turns on,” says Javier Toledo-Marín, a researcher scientist jointly appointed at Perimeter Institute and TRIUMF. “It’s financially and environmentally unsustainable to keep doing business as usual.”

When quantum and generative AI collide 

Particle physicists use specialized detectors called calorimeters to measure the energy released by the showers of particles that result from collisions. Scientists combine the readings from these and other detectors to piece together what happened at the initial collision. It’s through this process of comparing simulations to experimental data that researchers discovered the Higgs boson at the Large Hadron Collider in 2012. Compared to the other sub-detector systems within the LHC experiments, calorimeters and the data they produce are the most computationally intensive to simulate, and as such they represent a major opportunity for efficiency gains.

In 2022, a scientific “challenge” was issued by researchers seeking to spur rapid advances in calorimeter computations, in an attempt to address the coming computational bottleneck at the LHC. Named the “CaloChallenge,” the challenge provided datasets based on LHC experiments for teams to develop and benchmark simulations of calorimeter readings. Fedorko and the team are the only ones so far to take a full-scale quantum approach, thanks to an assist from D-Wave Quantum Inc.’s annealing quantum computing technology.

Annealing quantum computing is a process that is usually used to find the lowest-energy state for a system or a state near to the lowest energy one, which is useful for problems involving optimization.

After discussing with D-Wave, Fedorko, Toledo-Marín, and the rest of the team determined that D-Wave’s annealing quantum computers could be used for simulation generation. You just need to use annealing to manipulate qubits (the smallest bits of quantum information) in an unconventional way.

“In the D-Wave quantum processor, there is a mechanism that ensures the ratio between the ‘bias’ on a given qubit and the ‘weight’ linking it to another qubit is the same throughout the annealing process. With the help of D-Wave, the team realized that they could use this mechanism to instead guarantee outcomes for a subset of the qubits on a device. “We basically hijacked that mechanism to fix in place some of the spins,” says Fedorko. “This mechanism can be used to ‘condition’ the processor – for example, generate showers with specific desired properties – like the energy of a particle impinging on the calorimeter.”

The end result: an unconventional way to use annealing quantum computing to generate high-quality synthetic data for analyzing particle collisions.

The next phase of collider physics simulations

The published result is important because of its performance in three metrics: the speed to generate the simulations, their accuracy, and how much computational resources they require. “For speed, we are in the top bound of results published by other teams and our accuracy is above average,” Toledo-Marín says. “What makes our framework competitive is really the unique combination of several factors – speed, accuracy, and energy consumption.”

Essentially, many types of quantum processing units (QPU) must be kept at an extremely low temperature. But giving it multiple tasks doesn’t significantly impact its energy requirements. A standard graphics processing unit (GPU), by contrast, will increase its energy use for each job it receives. As advanced GPUs become more and more power-hungry, QPUs by contrast can potentially scale up without leading to increasing computational energy requirements.

Looking forward, the team is excited to test their models on new incoming data so they can finetune their models, increasing both speed and accuracy. If all goes well, annealing quantum computing could become an essential aspect of generating simulations.

“It’s a good example of being able to scale something in the field of quantum machine learning to something practical that can potentially be deployed,” says Toledo-Marín.

The authors are grateful for the support of their many funders and contributors, which include the University of British Columbia, the University of Virginia, the NRC, D-Wave, and MITACS [originally funded as: Mathematics of Information Technology and Complex Systems; now a nonprofit research organization].

A joint July 10, 2025 Perimeter Institute for Theoretical Physics and TRIUMF news release on Newswise (also on the Quantum Insider but published July 11, 2025) is markedly shorter more ‘boosterish’ than what appears to be the TRIUMF news release,

In a landmark achievement for Canadian science, a team of scientists led by TRIUMF and the Perimeter Institute for Theoretical Physics have unveiled transformative research that – for the first time – merges quantum computing techniques with advanced AI to model complex simulations in a fast, accurate and energy-efficient way.

“This is a uniquely Canadian success story,” said Wojciech Fedorko, Deputy Department Head, Scientific Computing at TRIUMF. “Uniting the expertise from our country’s research institutions and industry leaders has not only advanced our ability to carry out fundamental research, but also demonstrated Canada’s ability to lead the world in quantum and AI innovation.”

In any event, here’s a link to and a citation for the paper,

Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions by J. Quetzalcóatl Toledo-Marín, Sebastian Gonzalez, Hao Jia, Ian Lu, Deniz Sogutlu, Abhishek Abhishek, Colin Gay, Eric Paquet, Roger G. Melko, Geoffrey C. Fox, Maximilian Swiatlowski & Wojciech Fedorko. npj Quantum Information volume 11, Article number: 114 (2025) DOI: https://doi.org/10.1038/s41534-025-01040-x Published: 07 July 2025

This paper is open access.

Raymond Julien Joseph Laflamme (July 19, 1960 – June 19, 2025))

[image downloaded from https://uwaterloo.ca/news/global-impact/opinion-canadas-stake-quantum-race]

Microsoft, D-Wave Systems, quantum computing, and quantum supremacy?

Before diving into some of the latest quantum computing doings, here’s why quantum computing is so highly prized and chased after, from the Quantum supremacy Wikipedia entry, Note: Links have been removed,

In quantum computing, quantum supremacy or quantum advantage is the goal of demonstrating that a programmable quantum computer can solve a problem that no classical computer can solve in any feasible amount of time, irrespective of the usefulness of the problem.[1][2][3] The term was coined by John Preskill in 2011,[1][4] but the concept dates to Yuri Manin’s 1980[5] and Richard Feynman’s 1981[6] proposals of quantum computing.

Quantum supremacy and quantum advantage have been mentioned a few times here over the years. You can check my March 6, 2020 posting for when researchers from the University of California at Santa Barbara claimed quantum supremacy and my July 31, 2023 posting for when D-Wave Systems claimed a quantum advantage on optimization problems. I’d understood quantum supremacy and quantum advantage to be synonymous but according the article in Betakit (keep scrolling down to the D-Wave subhead and then, to ‘A controversy of sorts’ subhead in this posting), that’s not so.

The latest news on the quantum front comes from Microsoft (February 2025) and D-Wave systems (March 2025).

Microsoft claims a new state of matter for breakthroughs in quantum computing

Here’s the February 19, 2025 news announcement from Microsoft’s Chetan Nayak, Technical Fellow and Corporate Vice President of Quantum Hardware, Note: Links have been removed,

Quantum computers promise to transform science and society—but only after they achieve the scale that once seemed distant and elusive, and their reliability is ensured by quantum error correction. Today, we’re announcing rapid advancements on the path to useful quantum computing:

  • Majorana 1: the world’s first Quantum Processing Unit (QPU) powered by a Topological Core, designed to scale to a million qubits on a single chip.
  • A hardware-protected topological qubit: research published today in Nature, along with data shared at the Station Q meeting, demonstrate our ability to harness a new type of material and engineer a radically different type of qubit that is small, fast, and digitally controlled.
  • A device roadmap to reliable quantum computation: our path from single-qubit devices to arrays that enable quantum error correction.
  • Building the world’s first fault-tolerant prototype (FTP) based on topological qubits: Microsoft is on track to build an FTP of a scalable quantum computer—in years, not decades—as part of the final phase of the Defense Advanced Research Projects Agency (DARPA) Underexplored Systems for Utility-Scale Quantum Computing (US2QC) program.

Together, these milestones mark a pivotal moment in quantum computing as we advance from scientific exploration to technological innovation.

Harnessing a new type of material

All of today’s announcements build on our team’s recent breakthrough: the world’s first topoconductor. This revolutionary class of materials enables us to create topological superconductivity, a new state of matter that previously existed only in theory. The advance stems from Microsoft’s innovations in the design and fabrication of gate-defined devices that combine indium arsenide (a semiconductor) and aluminum (a superconductor). When cooled to near absolute zero and tuned with magnetic fields, these devices form topological superconducting nanowires with Majorana Zero Modes (MZMs) at the wires’ ends.

Chris Vallance’s February 19, 2025 article for the British Broadcasting Corporation (BBC) news online website provides a description of Microsoft’s claims and makes note of the competitive quantum research environment,

Microsoft has unveiled a new chip called Majorana 1 that it says will enable the creation of quantum computers able to solve “meaningful, industrial-scale problems in years, not decades”.

It is the latest development in quantum computing – tech which uses principles of particle physics to create a new type of computer able to solve problems ordinary computers cannot.

Creating quantum computers powerful enough to solve important real-world problems is very challenging – and some experts believe them to be decades away.

Microsoft says this timetable can now be sped up because of the “transformative” progress it has made in developing the new chip involving a “topological conductor”, based on a new material it has produced.

The firm believes its topoconductor has the potential to be as revolutionary as the semiconductor was in the history of computing.

But experts have told the BBC more data is needed before the significance of the new research – and its effect on quantum computing – can be fully assessed.

Jensen Huang – boss of the leading chip firm, Nvidia – said in January he believed “very useful” quantum computing would come in 20 years.

Chetan Nayak, a technical fellow of quantum hardware at Microsoft, said he believed the developments would shake up conventional thinking about the future of quantum computers.

“Many people have said that quantum computing, that is to say useful quantum computers, are decades away,” he said. “I think that this brings us into years rather than decades.”

Travis Humble, director of the Quantum Science Center of Oak Ridge National Laboratory in the US, said he agreed Microsoft would now be able to deliver prototypes faster – but warned there remained work to do.

“The long term goals for solving industrial applications on quantum computers will require scaling up these prototypes even further,” he said.

While rivals produced a steady stream of announcements – notably Google’s “Willow” at the end of 2024 – Microsoft seemed to be taking longer.

Pursuing this approach was, in the company’s own words, a “high-risk, high-rewards” strategy, but one it now believes is going to pay off.

If you have the time, do read Vallance’s February 19, 2025 article.

The research paper

Purdue University’s (Indiana, US) February 25, 2025 news release on EurekAlert announces publication of the research, Note: Links have been removed,

Microsoft Quantum published an article in Nature on Feb. 19 [2025] detailing recent advances in the measurement of quantum devices that will be needed to realize a topological quantum computer. Among the authors are Microsoft scientists and engineers who conduct research at Microsoft Quantum Lab West Lafayette, located at Purdue University. In an announcement by Microsoft Quantum, the team describes the operation of a device that is a necessary building block for a topological quantum computer. The published results are an important milestone along the path to construction of quantum computers that are potentially more robust and powerful than existing technologies.

“Our hope for quantum computation is that it will aid chemists, materials scientists and engineers working on the design and manufacturing of new materials that are so important to our daily lives,” said Michael Manfra, scientific director of Microsoft Quantum Lab West Lafayette and the Bill and Dee O’Brien Distinguished Professor of Physics and Astronomy, professor of materials engineering, and professor of electrical and computer engineering at Purdue. “The promise of quantum computation is in accelerating scientific discovery and its translation into useful technology. For example, if quantum computers reduce the time and cost to produce new lifesaving therapeutic drugs, that is real societal impact.” 

The Microsoft Quantum Lab West Lafayette team advanced the complex layered materials that make up the quantum plane of the full device architecture used in the tests. Microsoft scientists working with Manfra are experts in advanced semiconductor growth techniques, including molecular beam epitaxy, that are used to build low-dimensional electron systems that form the basis for quantum bits, or qubits. They built the semiconductor and superconductor layers with atomic layer precision, tailoring the material’s properties to those needed for the device architecture.

Manfra, a member of the Purdue Quantum Science and Engineering Institute, credited the strong relationship between Purdue and Microsoft, built over the course of a decade, with the advances conducted at Microsoft Quantum Lab West Lafayette. In 2017 Purdue deepened its relationship with Microsoft with a multiyear agreement that includes embedding Microsoft employees with Manfra’s research team at Purdue.

“This was a collaborative effort by a very sophisticated team, with a vital contribution from the Microsoft scientists at Purdue,” Manfra said. “It’s a Microsoft team achievement, but it’s also the culmination of a long-standing partnership between Purdue and Microsoft. It wouldn’t have been possible without an environment at Purdue that was conducive to this mode of work — I attempted to blend industrial with academic research to the betterment of both communities. I think that’s a success story.”

Quantum science and engineering at Purdue is a pillar of the Purdue Computes initiative, which is focused on advancing research in computing, physical AI, semiconductors and quantum technologies.

“This research breakthrough in the measurement of the state of quasi particles is a milestone in the development of topological quantum computing, and creates a watershed moment in the semiconductor-superconductor hybrid structure,” Purdue President Mung Chiang said. “Marking also the latest success in the strategic initiative of Purdue Computes, the deep collaboration that Professor Manfra and his team have created with the Microsoft Quantum Lab West Lafayette on the Purdue campus exemplifies the most impactful industry research partnership at any American university today.”

Most approaches to quantum computers rely on local degrees of freedom to encode information. The spin of an electron is a classic example of a qubit. But an individual spin is prone to disturbance — by relatively common things like heat, vibrations or interactions with other quantum particles — which can corrupt quantum information stored in the qubit, necessitating a great deal of effort in detecting and correcting errors. Instead of spin, topological quantum computers store information in a more distributed manner; the qubit state is encoded in the state of many particles acting in concert. Consequently, it is harder to scramble the information as the state of all the particles must be changed to alter the qubit state.

In the Nature paper, the Microsoft team was able to accurately and quickly measure the state of quasi particles that form the basis of the qubit.

“The device is used to measure a basic property of a topological qubit quickly,” Manfra said. “The team is excited to build on these positive results.”

“The team in West Lafayette pushed existing epitaxial technology to a new state-of-the-art for semiconductor-superconductor hybrid structures to ensure a perfect interface between each of the building blocks of the Microsoft hybrid system,” said Sergei Gronin, a Microsoft Quantum Lab scientist.

“The materials quality that is required for quantum computing chips necessitates constant improvements, so that’s one of the biggest challenges,” Gronin said. “First, we had to adjust and improve semiconductor technology to meet a new level that nobody was able to achieve before. But equally important was how to create this hybrid system. To do that, we had to merge a semiconducting part and a superconducting part. And that means you need to perfect the semiconductor and the superconductor and perfect the interface between them.”

While work discussed in the Nature article was performed by Microsoft employees, the exposure to industrial-scale research and development is an outstanding opportunity for Purdue students in Manfra’s academic group as well. John Watson, Geoffrey Gardner and Saeed Fallahi, who are among the coauthors of the paper, earned their doctoral degrees under Manfra and now work for Microsoft Quantum at locations in Redmond, Washington, and Copenhagen, Denmark. Most of Manfra’s former students now work for quantum computing companies, including Microsoft. Tyler Lindemann, who works in the West Lafayette lab and helped to build the hybrid semiconductor-superconductor structures required for the device, is earning a doctoral degree from Purdue under Manfra’s supervision.

“Working in Professor Manfra’s lab in conjunction with my work for Microsoft Quantum has given me a head start in my professional development, and been fruitful for my academic work,” Lindemann said. “At the same time, many of the world-class scientists and engineers at Microsoft Quantum have some background in academia, and being able to draw from their knowledge and experience is an indispensable resource in my graduate studies. From both perspectives, it’s a great opportunity.”

Here’s a link to and a citation for the paper,

Interferometric single-shot parity measurement in InAs–Al hybrid devices by Microsoft Azure Quantum, Morteza Aghaee, Alejandro Alcaraz Ramirez, Zulfi Alam, Rizwan Ali, Mariusz Andrzejczuk, Andrey Antipov, Mikhail Astafev, Amin Barzegar, Bela Bauer, Jonathan Becker, Umesh Kumar Bhaskar, Alex Bocharov, Srini Boddapati, David Bohn, Jouri Bommer, Leo Bourdet, Arnaud Bousquet, Samuel Boutin, Lucas Casparis, Benjamin J. Chapman, Sohail Chatoor, Anna Wulff Christensen, Cassandra Chua, Patrick Codd, William Cole, Paul Cooper, Fabiano Corsetti, Ajuan Cui, Paolo Dalpasso, Juan Pablo Dehollain, Gijs de Lange, Michiel de Moor, Andreas Ekefjärd, Tareq El Dandachi, Juan Carlos Estrada Saldaña, Saeed Fallahi, Luca Galletti, Geoff Gardner, Deshan Govender, Flavio Griggio, Ruben Grigoryan, Sebastian Grijalva, Sergei Gronin, Jan Gukelberger, Marzie Hamdast, Firas Hamze, Esben Bork Hansen, Sebastian Heedt, Zahra Heidarnia, Jesús Herranz Zamorano, Samantha Ho, Laurens Holgaard, John Hornibrook, Jinnapat Indrapiromkul, Henrik Ingerslev, Lovro Ivancevic, Thomas Jensen, Jaspreet Jhoja, Jeffrey Jones, Konstantin V. Kalashnikov, Ray Kallaher, Rachpon Kalra, Farhad Karimi, Torsten Karzig, Evelyn King, Maren Elisabeth Kloster, Christina Knapp, Dariusz Kocon, Jonne V. Koski, Pasi Kostamo, Mahesh Kumar, Tom Laeven, Thorvald Larsen, Jason Lee, Kyunghoon Lee, Grant Leum, Kongyi Li, Tyler Lindemann, Matthew Looij, Julie Love, Marijn Lucas, Roman Lutchyn, Morten Hannibal Madsen, Nash Madulid, Albert Malmros, Michael Manfra, Devashish Mantri, Signe Brynold Markussen, Esteban Martinez, Marco Mattila, Robert McNeil, Antonio B. Mei, Ryan V. Mishmash, Gopakumar Mohandas, Christian Mollgaard, Trevor Morgan, George Moussa, Chetan Nayak, Jens Hedegaard Nielsen, Jens Munk Nielsen, William Hvidtfelt Padkar Nielsen, Bas Nijholt, Mike Nystrom, Eoin O’Farrell, Thomas Ohki, Keita Otani, Brian Paquelet Wütz, Sebastian Pauka, Karl Petersson, Luca Petit, Dima Pikulin, Guen Prawiroatmodjo, Frank Preiss, Eduardo Puchol Morejon, Mohana Rajpalke, Craig Ranta, Katrine Rasmussen, David Razmadze, Outi Reentila, David J. Reilly, Yuan Ren, Ken Reneris, Richard Rouse, Ivan Sadovskyy, Lauri Sainiemi, Irene Sanlorenzo, Emma Schmidgall, Cristina Sfiligoj, Mustafeez Bashir Shah, Kevin Simoes, Shilpi Singh, Sarat Sinha, Thomas Soerensen, Patrick Sohr, Tomas Stankevic, Lieuwe Stek, Eric Stuppard, Henri Suominen, Judith Suter, Sam Teicher, Nivetha Thiyagarajah, Raj Tholapi, Mason Thomas, Emily Toomey, Josh Tracy, Michelle Turley, Shivendra Upadhyay, Ivan Urban, Kevin Van Hoogdalem, David J. Van Woerkom, Dmitrii V. Viazmitinov, Dominik Vogel, John Watson, Alex Webster, Joseph Weston, Georg W. Winkler, Di Xu, Chung Kai Yang, Emrah Yucelen, Roland Zeisel, Guoji Zheng & Justin Zilke. Nature 638, 651–655 (2025). DOI: https://doi.org/10.1038/s41586-024-08445-2 Published online: 19 February 2025 Issue Date: 20 February 2025

This paper is open access. Note: I usually tag all of the authors but not this time.

Controversy over this and previous Microsoft quantum computing claims

Elizabeth Hlavinka’s March 17, 2025 article for Salon.com provides an overview, Note: Links have been removed,

The matter making up the world around us has long-since been organized into three neat categories: solids, liquids and gases. But last month [February 2025], Microsoft announced that it had allegedly discovered another state of matter originally theorized to exist in 1937. 

This new state of matter called the Majorana zero mode is made up of quasiparticles, which act as their own particle and antiparticle. The idea is that the Majorana zero mode could be used to build a quantum computer, which could help scientists answer complex questions that standard computers are not capable of solving, with implications for medicine, cybersecurity and artificial intelligence.

In late February [2025], Sen. Ted Cruz presented Microsoft’s new computer chip at a congressional hearing, saying, “Technologies like this new chip I hold in the palm of my hand, the Majorana 1 quantum chip, are unlocking a new era of computing that will transform industries from health care to energy, solving problems that today’s computers simply cannot.”

However, Microsoft’s announcement, claiming a “breakthrough in quantum computing,” was met with skepticism from some physicists in the field. Proving that this form of quantum computing can work requires first demonstrating the existence of Majorana quasiparticles, measuring what the Majorana particles are doing, and creating something called a topological qubit used to store quantum information.

But some say that not all of the data necessary to prove this has been included in the research paper published in Nature, on which this announcement is based. And due to a fraught history of similar claims from the company being disputed and ultimately rescinded, some are extra wary of the results. [emphasis mine]

It’s not the first time Microsoft has faced backlash from presenting findings in the field. In 2018, the company reported that they had detected the presence of Majorana zero-modes in a research paper, but it was retracted by Nature, the journal that published it after a report from independent experts put their findings under more intense scrutiny.

In the [2018] report, four physicists not involved in the research concluded that it did not appear that Microsoft had intentionally misrepresented the data, but instead seemed to be “caught up in the excitement of the moment [emphasis mine].”

Establishing the existence of these particles is extremely complex in part because disorder in the device can create signals that mimic these quasiparticles when they are not actually there. 

Modern computers in use today are encoded in bits, which can either be in a zero state (no current flowing through them), or a one state (current flowing.) These bits work together to send information and signals that communicate with the computer, powering everything from cell phones to video games.

Companies like Google, IBM and Amazon have invested in designing another form of quantum computer that uses chips built with “qubits,” or quantum bits. Qubits can exist in both zero and one states at the same time due to a phenomenon called superposition. 

However, qubits are subject to external noise from the environment that can affect their performance, said Dr. Paolo Molignini, a researcher in theoretical quantum physics at Stockholm University.

“Because qubits are in a superposition of zero and one, they are very prone to errors and they are very prone to what is called decoherence, which means there could be noise, thermal fluctuations or many things that can collapse the state of the qubits,” Molignini told Salon in a video call. “Then you basically lose all of the information that you were encoding.”

In December [2024], Google said its quantum computer could perform a calculation that a standard computer could complete in 10 septillion years — a period far longer than the age of the universe — in just under five minutes.

However, a general-purpose computer would require billions of qubits, so these approaches are still a far cry from having practical applications, said Dr. Patrick Lee, a physicist at the Massachusetts Institute of Technology [MIT], who co-authored the report leading to the 2018 Nature paper’s retraction.

Microsoft is taking a different approach to quantum computing by trying to develop  a topological qubit, which has the ability to store information in multiple places at once. Topological qubits exist within the Majorana zero states and are appealing because they can theoretically offer greater protection against environmental noise that destroys information within a quantum system.

Think of it like an arrow, where the arrowhead holds a portion of the information and the arrow tail holds the rest, Lee said. Distributing information across space like this is called topological protection.

“If you are able to put them far apart from each other, then you have a chance of maintaining the identity of the arrow even if it is subject to noise,” Lee told Salon in a phone interview. “The idea is that if the noise affects the head, it doesn’t kill the arrow and if it affects only the tail it doesn’t kill your arrow. It has to affect both sides simultaneously to kill your arrow, and that is very unlikely if you are able to put them apart.”

… Lee believes that even if the data doesn’t entirely prove that topological qubits exist in the Majorana zero-state, it still represents a scientific advancement. But he noted that several important issues need to be solved before it has practical implications. For one, the coherence time of these particles — or how long they can exist without being affected by environmental noise — is still very short, he explained.

“They make a measurement, come back, and the qubit has changed, so you have lost your coherence,” Lee said. “With this very short time, you cannot do anything with it.”

“I just wish they [Microsoft] were a bit more careful with their claims because I fear that if they don’t measure up to what they are saying, there might be a backlash at some point where people say, ‘You promised us all these fancy things and where are they now?’” Molignini said. “That might damage the entire quantum community, not just themselves.”

Iif you have the time, please read Hlavinka’s March 17, 2025 article in its entirety .

D-Wave Quantum Systems claims quantum supremacy over real world problem solution

A March 15, 2025 article by Bob Yirka for phys.org announces the news from D-Wave Quantum Systems. Note: The company, which had its headquarters in Canada (Burnaby, BC) now seems to be a largely US company with its main headquarters in Palo Alto, California and an ancillary or junior (?) headquarters in Canada, Note: A link has been removed,

A team of quantum computer researchers at quantum computer maker D-Wave, working with an international team of physicists and engineers, is claiming that its latest quantum processor has been used to run a quantum simulation faster than could be done with a classical computer.

In their paper published in the journal Science, the group describes how they ran a quantum version of a mathematical approximation regarding how matter behaves when it changes states, such as from a gas to a liquid—in a way that they claim would be nearly impossible to conduct on a traditional computer.

Here’s a March 12, 2025 D-Wave Systems (now D-Wave Quantum Systems) news release touting its real world problem solving quantum supremacy,

New landmark peer-reviewed paper published in Science, “Beyond-Classical Computation in Quantum Simulation,” unequivocally validates D-Wave’s achievement of the world’s first and only demonstration of quantum computational supremacy on a useful, real-world problem

Research shows D-Wave annealing quantum computer performs magnetic materials simulation in minutes that would take nearly one million years and more than the world’s annual electricity consumption to solve using a classical supercomputer built with GPU clusters

D-Wave Advantage2 annealing quantum computer prototype used in supremacy achievement, a testament to the system’s remarkable performance capabilities

PALO ALTO, Calif. – March 12, 2025 – D-Wave Quantum Inc. (NYSE: QBTS) (“D-Wave” or the “Company”), a leader in quantum computing systems, software, and services and the world’s first commercial supplier of quantum computers, today announced a scientific breakthrough published in the esteemed journal Science, confirming that its annealing quantum computer outperformed one of the world’s most powerful classical supercomputers in solving complex magnetic materials simulation problems with relevance to materials discovery. The new landmark peer-reviewed paper, Beyond-Classical Computation in Quantum Simulation,” validates this achievement as the world’s first and only demonstration of quantum computational supremacy on a useful problem.

An international collaboration of scientists led by D-Wave performed simulations of quantum dynamics in programmable spin glasses—computationally hard magnetic materials simulation problems with known applications to business and science—on both D-Wave’s Advantage2TM prototype annealing quantum computer and the Frontier supercomputer at the Department of Energy’s Oak Ridge National Laboratory. The work simulated the behavior of a suite of lattice structures and sizes across a variety of evolution times and delivered a multiplicity of important material properties. D-Wave’s quantum computer performed the most complex simulation in minutes and with a level of accuracy that would take nearly one million years using the supercomputer. In addition, it would require more than the world’s annual electricity consumption to solve this problem using the supercomputer, which is built with graphics processing unit (GPU) clusters.

“This is a remarkable day for quantum computing. Our demonstration of quantum computational supremacy on a useful problem is an industry first. All other claims of quantum systems outperforming classical computers have been disputed or involved random number generation of no practical value,” said Dr. Alan Baratz, CEO of D-Wave. “Our achievement shows, without question, that D-Wave’s annealing quantum computers are now capable of solving useful problems beyond the reach of the world’s most powerful supercomputers. We are thrilled that D-Wave customers can use this technology today to realize tangible value from annealing quantum computers.”

Realizing an Industry-First Quantum Computing Milestone
The behavior of materials is governed by the laws of quantum physics. Understanding the quantum nature of magnetic materials is crucial to finding new ways to use them for technological advancement, making materials simulation and discovery a vital area of research for D-Wave and the broader scientific community. Magnetic materials simulations, like those conducted in this work, use computer models to study how tiny particles not visible to the human eye react to external factors. Magnetic materials are widely used in medical imaging, electronics, superconductors, electrical networks, sensors, and motors.

“This research proves that D-Wave’s quantum computers can reliably solve quantum dynamics problems that could lead to discovery of new materials,” said Dr. Andrew King, senior distinguished scientist at D-Wave. “Through D-Wave’s technology, we can create and manipulate programmable quantum matter in ways that were impossible even a few years ago.”

Materials discovery is a computationally complex, energy-intensive and expensive task. Today’s supercomputers and high-performance computing (HPC) centers, which are built with tens of thousands of GPUs, do not always have the computational processing power to conduct complex materials simulations in a timely or energy-efficient manner. For decades, scientists have aspired to build a quantum computer capable of solving complex materials simulation problems beyond the reach of classical computers. D-Wave’s advancements in quantum hardware have made it possible for its annealing quantum computers to process these types of problems for the first time.

“This is a significant milestone made possible through over 25 years of research and hardware development at D-Wave, two years of collaboration across 11 institutions worldwide, and more than 100,000 GPU and CPU hours of simulation on one of the world’s fastest supercomputers as well as computing clusters in collaborating institutions,” said Dr. Mohammad Amin, chief scientist at D-Wave. “Besides realizing Richard Feynman’s vision of simulating nature on a quantum computer, this research could open new frontiers for scientific discovery and quantum application development.” 

Advantage2 System Demonstrates Powerful Performance Gains
The results shown in “Beyond-Classical Computation in Quantum Simulation” were enabled by D-Wave’s previous scientific milestones published in Nature Physics (2022) and Nature (2023), which theoretically and experimentally showed that quantum annealing provides a quantum speedup in complex optimization problems. These scientific advancements led to the development of the Advantage2 prototype’s fast anneal feature, which played an essential role in performing the precise quantum calculations needed to demonstrate quantum computational supremacy.

“The broader quantum computing research and development community is collectively building an understanding of the types of computations for which quantum computing can overtake classical computing. This effort requires ongoing and rigorous experimentation,” said Dr. Trevor Lanting, chief development officer at D-Wave. “This work is an important step toward sharpening that understanding, with clear evidence of where our quantum computer was able to outperform classical methods. We believe that the ability to recreate the entire suite of results we produced is not possible classically. We encourage our peers in academia to continue efforts to further define the line between quantum and classical capabilities, and we believe these efforts will help drive the development of ever more powerful quantum computing technology.”

The Advantage2 prototype used to achieve quantum computational supremacy is available for customers to use today via D-Wave’s Leap™ real-time quantum cloud service. The prototype provides substantial performance improvements from previous-generation Advantage systems, including increased qubit coherence, connectivity, and energy scale, which enables higher-quality solutions to larger, more complex problems. Moreover, D-Wave now has an Advantage2 processor that is four times larger than the prototype used in this work and has extended the simulations of this paper from hundreds of qubits to thousands of qubits, which are significantly larger than those described in this paper.

Leading Industry Voices Echo Support
Dr. Hidetoshi Nishimori, Professor, Department of Physics, Tokyo Institute of Technology:
“This paper marks a significant milestone in demonstrating the real-world applicability of large-scale quantum computing. Through rigorous benchmarking of quantum annealers against state-of-the-art classical methods, it convincingly establishes a quantum advantage in tackling practical problems, revealing the transformative potential of quantum computing at an unprecedented scale.”

Dr. Seth Lloyd, Professor of Quantum Mechanical Engineering, MIT:
Although large-scale, fully error-corrected quantum computers are years in the future, quantum annealers can probe the features of quantum systems today. In an elegant paper, the D-Wave group has used a large-scale quantum annealer to uncover patterns of entanglement in a complex quantum system that lie far beyond the reach of the most powerful classical computer. The D-Wave result shows the promise of quantum annealers for exploring exotic quantum effects in a wide variety of systems.”

Dr. Travis Humble, Director of Quantum Science Center, Distinguished Scientist at Oak Ridge National Laboratory:
“ORNL seeks to expand the frontiers of computation through many different avenues, and benchmarking quantum computing for materials science applications provides critical input to our understanding of new computational capabilities.”

Dr. Juan Carrasquilla, Associate Professor at the Department of Physics, ETH Zürich:
“I believe these results mark a critical scientific milestone for D-Wave. They also serve as an invitation to the scientific community, as these results offer a strong benchmark and motivation for developing novel simulation techniques for out-of-equilibrium dynamics in quantum many-body physics. Furthermore, I hope these findings encourage theoretical exploration of the computational challenges involved in performing such simulations, both classically and quantum-mechanically.”

Dr. Victor Martin-Mayor, Professor of Theoretical Physics, Universidad Complutense de Madrid:
“This paper is not only a tour-de-force for experimental physics, it is also remarkable for the clarity of the results. The authors have addressed a problem that is regarded both as important and as very challenging to a classical computer. The team has shown that their quantum annealer performs better at this task than the state-of-the-art methods for classical simulation.”

Dr. Alberto Nocera, Senior Staff Scientist, The University of British Columbia:
“Our work shows the impracticability of state-of-the-art classical simulations to simulate the dynamics of quantum magnets, opening the door for quantum technologies based on analog simulators to solve scientific questions that may otherwise remain unanswered using conventional computers.”

About D-Wave Quantum Inc.
D-Wave is a leader in the development and delivery of quantum computing systems, software, and services. We are the world’s first commercial supplier of quantum computers, and the only company building both annealing and gate-model quantum computers. Our mission is to help customers realize the value of quantum, today. Our 5,000+ qubit Advantage™ quantum computers, the world’s largest, are available on-premises or via the cloud, supported by 99.9% availability and uptime. More than 100 organizations trust D-Wave with their toughest computational challenges. With over 200 million problems submitted to our Advantage systems and Advantage2™ prototypes to date, our customers apply our technology to address use cases spanning optimization, artificial intelligence, research and more. Learn more about realizing the value of quantum computing today and how we’re shaping the quantum-driven industrial and societal advancements of tomorrow: www.dwavequantum.com.

Forward-Looking Statements
Certain statements in this press release are forward-looking, as defined in the Private Securities Litigation Reform Act of 1995. These statements involve risks, uncertainties, and other factors that may cause actual results to differ materially from the information expressed or implied by these forward-looking statements and may not be indicative of future results. These forward-looking statements are subject to a number of risks and uncertainties, including, among others, various factors beyond management’s control, including the risks set forth under the heading “Risk Factors” discussed under the caption “Item 1A. Risk Factors” in Part I of our most recent Annual Report on Form 10-K or any updates discussed under the caption “Item 1A. Risk Factors” in Part II of our Quarterly Reports on Form 10-Q and in our other filings with the SEC. Undue reliance should not be placed on the forward-looking statements in this press release in making an investment decision, which are based on information available to us on the date hereof. We undertake no duty to update this information unless required by law.

Here’s a link to and a citation for the most recent paper,

Beyond-classical computation in quantum simulation by Andrew D. King , Alberto Nocera, Marek M. Rams, Jacek Dziarmaga, Roeland Wiersema, William Bernoudy, Jack Raymond, Nitin Kaushal, Niclas Heinsdorf, Richard Harris, Kelly Boothby, Fabio Altomare, Mohsen Asad, Andrew J. Berkley, Martin Boschnak, Kevin Chern, Holly Christiani, Samantha Cibere, Jake Connor, Martin H. Dehn, Rahul Deshpande, Sara Ejtemaee, Pau Farre, Kelsey Hamer, Emile Hoskinson, Shuiyuan Huang, Mark W. Johnson, Samuel Kortas, Eric Ladizinsky, Trevor Lanting, Tony Lai, Ryan Li, Allison J. R. MacDonald, Gaelen Marsden, Catherine C. McGeoch, Reza Molavi, Travis Oh, Richard Neufeld, Mana Norouzpour, Joel Pasvolsky, Patrick Poitras, Gabriel Poulin-Lamarre, Thomas Prescott, Mauricio Reis, Chris Rich, Mohammad Samani, Benjamin Sheldan, Anatoly Smirnov, Edward Sterpka, Berta Trullas Clavera, Nicholas Tsai, Mark Volkmann, Alexander M. Whiticar, Jed D. Whittaker, Warren Wilkinson, Jason Yao, T.J. Yi, Anders W. Sandvik, Gonzalo Alvarez, Roger G. Melko, Juan Carrasquilla, Marcel Franz, and Mohammad H. Amin. Science 12 Mar 2025 First Release DOI: 10.1126/science.ado6285

This paper appears to be open access.Note: I usually tag all of the authors but not this time either.

A controversy of sorts

Madison McLauchlan’s March 19, 2025 article for Betakit (website for Canadian Startup News & Tech Innovation), Note: Links have been removed,

Canadian-born company D-Wave Quantum Systems said it achieved “quantum supremacy” last week after publishing what it calls a groundbreaking paper in the prestigious journal Science. Despite the lofty term, Canadian experts say supremacy is not the be-all, end-all of quantum innovation. 

D-Wave, which has labs in Palo Alto, Calif., and Burnaby, BC, claimed in a statement that it has shown “the world’s first and only demonstration of quantum computational supremacy on a useful, real-world problem.”

Coined in the early 2010s by physicist John Preskill, quantum supremacy is the ability of a quantum computing system to solve a problem no classical computer can in a feasible amount of time. The metric makes no mention of whether the problem needs to be useful or relevant to real life. Google researchers published a paper in Nature in 2019 claiming they cleared that bar with the Sycamore quantum processor. Researchers at the University of Science and Technology in China claimed they demonstrated quantum supremacy several times. 

D-Wave’s attempt differs in that its researchers aimed to solve a real-world materials-simulation problem with quantum computing—one the company claims would be nearly impossible for a traditional computer to solve in a reasonable amount of time. D-Wave used an annealing designed to solve optimization problems. The problem is represented like an energy space, where the “lowest energy state” corresponds to the solution. 

While exciting, quantum supremacy is just one metric among several that mark the progress toward widely useful quantum computers, industry experts told BetaKit. 

“It is a very important and mostly academic metric, but certainly not the most important in the grand scheme of things, as it doesn’t take into account the usefulness of the algorithm,” said Martin Laforest, managing partner at Quantacet, a specialized venture capital fund for quantum startups. 

He added that Google and Xanadu’s [Xanadu Quantum Technologies based in Toronto, Canada] past claims to quantum supremacy were “extraordinary pieces of work, but didn’t unlock practicality.” 

Laforest, along with executives at Canadian quantum startups Nord Quantique and Photonic, say that the milestones of ‘quantum utility’ or ‘quantum advantage’ may be more important than supremacy. 

According to Quantum computing company Quera [QuEra?], quantum advantage is the demonstration of a quantum algorithm solving a real-world problem on a quantum computer faster than any classical algorithm running on any classical computer. On the other hand, quantum utility, according to IBM, refers to when a quantum computer is able to perform reliable computations at a scale beyond brute-force classical computing methods that provide exact solutions to computational problems. 

Error correction hasn’t traditionally been considered a requirement for quantum supremacy, but Laforest told BetaKit the term is “an ever-moving target, constantly challenged by advances in classical algorithms.” He added: “In my opinion, some level of supremacy or utility may be possible in niche areas without error correction, but true disruption requires it.”

Paul Terry, CEO of Vancouver-based Photonic, thinks that though D-Wave’s claim to quantum supremacy shows “continued progress to real value,” scalability is the industry’s biggest hurdle to overcome.

But as with many milestone claims in the quantum space, D-Wave’s latest innovation has been met with scrutiny from industry competitors and researchers on the breakthrough’s significance, claiming that classical computers have achieved similar results. Laforest echoed this sentiment.

“Personally, I wouldn’t say it’s an unequivocal demonstration of supremacy, but it is a damn nice experiment that once again shows the murky zone between traditional computing and early quantum advantage,” Laforest said.

Originally founded out of the University of British Columbia, D-Wave went public on the New York Stock Exchange just over two years ago through a merger with a special-purpose acquisition company in 2022. D-Wave became a Delaware-domiciled corporation as part of the deal.

Earlier this year, D-Wave’s stock price dropped after Nvidia CEO Jensen Huang publicly stated that he estimated that useful quantum computers were more than 15 years away. D-Wave’s stock price, which had been struggling, has seen a considerable bump in recent months alongside a broader boost in the quantum market. The price popped after its most recent earnings, shared right after its quantum supremacy announcement. 

The beat goes on

Some of this is standard in science. There’s always a debate over big claims and it’s not unusual for people to get over excited and have to make a retraction. Scientists are people too. That said, there’s a lot of money on the line and that appears to be making situation even more volatile than usual.

That last paragraph was completed on the morning of March 21, 2025 and later that afternoon I came across this March 21, 2025 article by Michael Grothaus for Fast Company, Note: Links have been removed,

Quantum computing stocks got pummeled yesterday, with the four most prominent public quantum computing companies—IonQ, Rigetti Computing, Quantum Computing Inc., and D-Wave Quantum Inc.—falling anywhere from over 9% to over 18%. The reason? A lot of it may have to do with AI chip giant Nvidia. Again.

Stocks crash yesterday on Nvidia quantum news

Yesterday was a bit of a bloodbath on the stock market for the four most prominent publicly traded quantum computing companies. …

All four of these quantum computing stocks [IonQ, Inc.; Rigetti Computing, Inc.; Quantum Computing Inc.; D-Wave Quantum Inc.] tumbled on the day that AI chip giant Nvidia kicked off its two-day Quantum Day event. In a blog post from January 14 announcing Quantum Day, Nvidia said the event “brings together leading experts for a comprehensive and balanced perspective on what businesses should expect from quantum computing in the coming decades — mapping the path toward useful quantum applications.”

Besides bringing quantum experts together, the AI behemoth also announced that it will be launching a new quantum computing research center in Boston.

Called the NVIDIA Accelerated Quantum Research Center (NVAQC), the new research lab “will help solve quantum computing’s most challenging problems, ranging from qubit noise to transforming experimental quantum processors into practical devices,” the company said in a press release.

The NVAQC’s location in Boston means it will be near both Harvard University and the Massachusetts Institute of Technology (MIT). 

Before Nvidia’s announcement yesterday, IonQ, Rigetti, D-Wave, and Quantum Computing Inc. were the leaders in the nascent field of quantum computing. And while they still are right now (Nvidia’s quantum research lab hasn’t been built yet), the fear is that Nvidia could use its deep pockets to quickly buy its way into a leadership spot in the field. With its $2.9 trillion market cap, the company can easily afford to throw billions of research dollars into quantum computing.

As noted by the Motley Fool, the location of the NVIDIA Accelerated Quantum Research Center in Boston will also allow Nvidia to more easily tap into top quantum talent from Harvard and MIT—talent that may have otherwise gone to IonQ, Rigetti, D-Wave, and Quantum Computing Inc.

Nvidia’s announcement is a massive about-face from the company in regard to how it views quantum computing. It’s also the second time that Nvidia has caused quantum stocks to crash this year. Back in January, shares in prominent quantum computing companies fell after Huang said that practical use of quantum computing was decades away.

Those comments were something quantum computing company CEOs like D-Wave’s Alan Baratz took issue with. “It’s an egregious error on Mr. Huang’s part,” Bartaz told Fast Company at the time. “We’re not decades away from commercial quantum computers. They exist. There are companies that are using our quantum computer today.”

According to Investor’s Business Daily, Huang reportedly got the idea for Nvidia’s Quantum Day event after the blowback to his comments, inviting quantum computing executives to the event to explain why he was incorrect about quantum computing.

The word is volatile.

Canada, quantum technology, and a public relations campaign?

Stephanie Simmons’ October 31, 2022 essay on quantum technology and Canada for The Conversation (h/t Nov.1.22 news item on phys.org) was a bit startling—not due to the content—but for the chosen communications vehicle. It’s the kind of piece i expect to find in the Globe and Mail or the National Post not The Conversation, which aspires to present in depth, accessible academic research and informed news stories (or so I thought). (See The Conversation (website) Wikipedia entry for more.)

Simmons (who is an academic) seems to have ‘written’ a run-of-the-mill public relations piece (with a good and accessible description of quantum encryption and its future importance) about Canada and quantum technology aimed at influencing government policy makers while using some magic words (Note: Links have been removed),

Canada is a world leader in developing quantum technologies and is well-positioned to secure its place in the emerging quantum industry.

Quantum technologies are new and emerging technologies based on the unique properties of quantum mechanics — the science that deals with the physical properties of nature on an atomic and subatomic level.

In the future, we’ll see quantum technology transforming computing, communications, cryptography and much more. They will be incredibly powerful, offering capabilities that reach beyond today’s technologies.

The potential impact of these technologies on the Canadian economy [emphasis mine] will be transformative: the National Research Council of Canada has identified quantum technology as a $142 billion opportunity that could employ 229,000 Canadians by 2040 [emphasis mine].

Canada could gain far-reaching economic and social benefits from the rapidly developing quantum industry, but it must act now to secure them — before someone else [emphasis mine] delivers the first large-scale quantum computer, which will likely be sooner than expected.

This is standard stuff, any professional business writer, after a little research, could have pulled the article together. But, it’s Stephanie Simmons whose academic titles (Associate Professor, SFU and Tier 2 Canada Research Chair in Silicon Quantum Technologies, Simon Fraser University) and position as founder and Chief Quantum Officer of Photonic, Inc. give her comments added weight. (For an academic, this is an unusual writing style [perhaps Simmons had some help?] and it better belongs in the newspapers I’ve previously cited.)

Simmons, having stoked a little anxiety with “it [Canada] must act now to secure them [economic and social benefits] — before someone else delivers the first large-scale quantum computer, which will likely be sooner than expected,” gets to her main points, from the October 31, 2022 essay,

To maintain its leadership, Canada needs to move beyond research and development and accelerate a quantum ecosystem that includes a strong talent pipeline, businesses supported by supply chains and governments and industry involvement. There are a few things Canada can do to drive this leadership:

Continue to fund quantum research: … The Canadian government has invested more than $1 billion since 2005 in quantum research and will likely announce a national quantum strategy soon [emphasis mine]. Canada must continue funding quantum research or risk losing its talent base and current competitive advantage. [Note: Canada has announced a national quantum strategy in both the 2021 and 2022 federal budgets See more under the ‘Don’t we already have a national quantum strategy? subhead]

Build our talent pipeline with more open immigration: …

Be our own best customers: Canadian companies are leading the way, but they need support [emphasis mine; by support, does she mean money?]. Quantum Industry Canada boasts of more than 30 member companies. Vancouver is home to the pioneering D-Wave and Photonic Inc., …

As noted in a previous post (July 26, 2022 titled “Quantum Mechanics & Gravity conference [August 15 – 19, 2022] launches Vancouver (Canada)-based Quantum Gravity Institute and more”), all of this enthusiasm tends to come down to money, as in, ‘We will make money which will somehow benefit you but, first, we need more money from you’. As for the exhortation to loosen up immigration, that sounds like an attempt to exacerbate ‘brain drain’, i.e., lure people from other countries to settle in Canada. As a country whose brains were drained in the 1960s, 70s, etc., it should be noted those drives were deeply resented here and I expect that we will become objects of resentment should we resort to the same tactics although I thought we already had.

Same anxieties, same solution

Simmons concludes with a cautionary tale, from the October 31, 2022 essay, Note: Links have been removed,

Canada has an opportunity to break out of its pattern of inventing transformative technology, but not reaping the rewards. This is what happened with the invention of the transistor.

The first transistor patent was actually filed in Canada by Canadian-Hungarian physicist Julius Edgar Lilienfeld, 20 years before the Bell Labs demonstration. Canada was also one of the places where Alexander Graham Bell worked to develop and patent the telephone.

Despite this, the transistor was commercialized in the U.S. and led to the country’s US$63 billion semiconductor industry. Bell commercialized the telephone through The Bell Telephone Company, which eventually became AT&T.

Canada is poised to make even greater contributions to quantum technology. Much existing technology has been invented here in Canada — including quantum cryptography, which was co-invented by University of Montreal professor Gilles Brassard. Instead of repeating its past mistakes, Canada should act now to secure the success of the quantum technology industry.

I bought into this narrative too. It’s compelling and generally accepted (in short, it’s a part of Canadian culture) but somebody who’s smarter about business and economics than I am pointed out that Canada has a good standard of living and has had that standard for many years despite decades of worry over our ‘inability’ to commercialize our discoveries. Following on that thought, what’s so bad about our situation? Are we behind because we don’t have a huge semiconductor industry? I don’t know but perhaps we need to question this narrative a little more closely. Where some people see loss, others might see agility, inventiveness, and the ability to keep capitalizing on early stage technology, over and over again.

What I haven’t yet seen discussed as a problem is a Canadian culture that encourages technology entrepreneurs to create startups with the intention of selling them to a big US (or other country) corporation. I’m most familiar with the situation in the province of British Columbia where a 2003 British Columbia Techmap (developed by the accounting firm PriceWaterhouseCoopers [PWC]) provides a genealogy which stretched from the 1890s to 2003. The number of technology companies acquired by foreign corporations is astonishing. Our technology has been bought—over and over, since the 1890s.

(I believe there were three editions of the British Columbia Techmap: 1997, 2003 and 2012. PWC seems to have discontinued publication and the 2012 online edition is no longer available. For the curious, there’s a June 15, 2012 announcement, which provides a little information about and interesting facts from the 2012 digital edition.)

This ‘startup and sell’ story holds true at the national level as well. We have some large technology companies but none of them compare to these: Huawei (China), Ali Baba (China), Intel (US), Apple (US), Siemens (Germany), Sanofi (France; technically a pharmaceutical but heavily invested in technology), etc.

So, is this “… inventing transformative technology, but not reaping the rewards …” really a problem when Canadians live well? If so, we need to change our entrepreneurial and business culture.

Don’t we already have a national quantum strategy?

It’s a little puzzling to see Simmons appear to be arguing for a national quantum strategy given this (from my July 26, 2022 posting),

A National Quantum Strategy was first announced in the 2021 Canadian federal budget and reannounced in the 2022 federal budget (see my April 19, 2022 posting for a few more budget details).. Or, you may find this National Quantum Strategy Consultations: What We Heard Report more informative. There’s also a webpage for general information about the National Quantum Strategy.

As evidence of action, the Natural Science and Engineering Research Council of Canada (NSERC) announced new grant programmes made possible by the National Quantum Strategy in a March 15, 2022 news release,

Quantum science and innovation are giving rise to promising advances in communications, computing, materials, sensing, health care, navigation and other key areas. The Government of Canada is committed to helping shape the future of quantum technology by supporting Canada’s quantum sector and establishing leadership in this emerging and transformative domain.

Today [March 15, 2022], the Honourable François-Philippe Champagne, Minister of Innovation, Science and Industry, is announcing an investment of $137.9 million through the Natural Sciences and Engineering Research Council of Canada’s (NSERC) Collaborative Research and Training Experience (CREATE) grants and Alliance grants. These grants are an important next step in advancing the National Quantum Strategy and will reinforce Canada’s research strengths in quantum science while also helping to develop a talent pipeline to support the growth of a strong quantum community.

it gets even more puzzling when you know that Simmons is part of a Canadian Council of Academies (CCA) expert panel (announced in May 2022) to produce a report on Quantum Technologies,

Budget 2021 included a National Quantum Strategy [emphasis mine] to amplify Canada’s strength in quantum research, grow quantum-ready technologies, and solidify Canada’s global leadership in this area. A comprehensive exploration of the capabilities and potential vulnerabilities of these technologies will help to inform their future deployment across the society and the economy.

This assessment will examine the impacts, opportunities, and challenges quantum technologies present for industry, governments, and people in Canada. [emphases mine]

The Sponsor:

National Research Council Canada and Innovation, Science and Economic Development Canada [emphasis mine]

It’s possible someone else wrote the essay, someone who doesn’t know about the strategy or Simmons’ involvement in a CCA report on how to address the issues highlighted in her October 31, 2022 essay. It’s also possible that Simmons is trying to emphasize the need for a commercialization strategy for quantum technologies.

Given that the Council of Canadian Academies (CCA) was asked to produce what looks like a comprehensive national strategy including commercialization, I prefer the second possibility.

*ETA December 29, 2022 1020 hours PT: On a purely speculative note, I just noticed involvement from a US PR agency in this project, from my “Bank of Canada and Multiverse Computing model complex networks & cryptocurrencies with quantum computing” July 25, 2022 posting,

As for the company that produced the news release, HKA Marketing Communications, based in Southern California, they claim this “Specialists in Quantum Tech PR: #1 agency in this space” on their homepage.

Simmons is on the CCA’s Quantum Technologies’ expert panel along with Eric Santor, Advisor to the Governor, Bank of Canada. HKA’s involvement would certainly explain why the writer didn’t know there’s already a National Quantum Strategy and not know about Simmons’ membership in the expert panel. As I noted, this is pure speculation; I have no proof.*

At any rate, there may be another problem, our national quantum dilemma may be due to difficulties within the Canadian quantum community.

A fractious Canadian quantum community

I commented on the competitiveness within the quantum technologies community in my May 4, 2021 posting about the federal 2021 budget, “While the folks in the quantum world are more obviously competitive … ,” i.e., they are strikingly public in comparison to the genomic and artificial intelligence communities. Scroll down to the ‘National Quantum Strategy’ subhead in the May 4, 2021 posting for an example.

It can also be seen in my July 26, 2022 posting about the Vancouver (Canada) launch of the Quantum Gravity Institute where I noted the lack of Canadian physicists (not one from the CCA expert panel, the Perimeter Institute, or TRIUMF; Canada’s particle accelerator centre, or the Institute for Quantum Computing at the University of Waterloo) in the speaker list and the prominent role wealthy men who’ve taken up quantum science as a hobby played in its founding. BTW, it seems two Canadian physicists (in addition to Philip Stamp; all from the University of British Columbia) were added to the speaker list and D-Wave Systems was added to the institute’s/conference’s webpage sponsorship list (scroll down about 70% of the way) after I posted.

Hopefully the quantum science/research community will pull together, in public, at least.

Who is the audience?

Getting back to Simmons’ piece on The Conversation, her essay, especially one that appears to be part of a public relations campaign, can appeal to more than one audience. The trick, as all (script, news, business, public relations, science, etc.) writers will tell you, is to write for one audience. As counter-intuitive as that trick may seem, it works.

Canadian policy makers should already know that the federal government has announced a national quantum strategy in two different budgets. Additionally, affected scientists should already know about the national strategy, such as it is. Clearly, children are not the intended audience. Perhaps it’s intended for a business audience but the specific business case is quite weak and, as I’ve noted here and elsewhere, the ‘failure’ to take advantage of early developments is a well worn science business trope which ignores a Canadian business model focused on developing emerging technology then, selling it.

This leaves a ‘general’ audience as the only one left and that audience doesn’t tend to read The Conversation website. Here’s the description of the publisher from its Wikipedia entry, Note: Links have been removed,

The Conversation is a network of not-for-profit media outlets publishing news stories and research reports online, with accompanying expert opinion and analysis.[1][2] Articles are written by academics and researchers [emphasis mine]under a free Creative Commons license, allowing reuse without modification.[3][2] Its model has been described as explanatory journalism.[4][5][6] [emphasis mine] Except in “exceptional circumstances”, it only publishes articles by “academics employed by, or otherwise formally connected to, accredited institutions, including universities and accredited research bodies”.[7]: 8 

Simmons’ piece is not so much explanatory as it is a plea for a policy on a website that newspapers use for free, pre-edited, and proofed content.

I imagine the hope was that a Canadian national newspaper such as the Globe & Mail and/or the National Post would republish it. That hope was realized when the National Post and, unexpectedly, a local paper, the Winnipeg Free Press, both republished it on November 1, 2022.

To sum up, it’s not clear to me what the goal for this piece was. Government policy makers don’t need it, the business case is not sufficiently supported, children are not going to care, and affected scientists are already aware of the situation. (Scientists who will be not affected by a national quantum policy will have their own agendas.) As for a member of the general audience, am I supposed to do something … other than care, that is?

The meaning of a banana

It is an odd piece which may or may not be part of a larger public relations campaign.

As a standalone piece, it reiterates the age old message regarding Canadian technology (“we don’t do a good job of commercializing our technology) to no great avail. As part of a strategy, it seems to be a misfire since we already have a national quantum strategy and Simmons is working on an expert panel that should be delivering the kind of policy she’s requesting.

In the end, all that can be said for certain is that Stephanie Simmons’ October 31, 2022 essay on quantum technology and Canada was published in The Conversation then republished elsewhere.

As Freud may or may not have said, “Sometimes a banana is just a banana.”