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D-Wave Systems demonstrates quantum advantage on optimization problems with a 5,000-qubit programmable spin glass

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This May 17, 2023 article by Ingrid Fadelli for phys.org describes quantum research performed by D-Wave Systems (a company in Vancouver, Canada) and Boston University (Massachusetts, US), Note: Links have been removed,

Over the past decades, researchers and companies worldwide have been trying to develop increasingly advanced quantum computers. The key objective of their efforts is to create systems that will outperform classical computers on specific tasks, which is also known as realizing “quantum advantage.”

A research team at D-Wave Inc., a quantum computing company, recently created a new quantum computing system that outperforms classical computing systems on optimization problems. This system, introduced in a paper in Nature, is based on a programmable spin glass with 5,000 qubits (the quantum equivalents of bits in classical computing).

“This work validates the original hypothesis behind quantum annealing, coming full circle from some seminal experiments conducted in the 1990s,” Andrew D. King, one of the researchers who carried out the study, told Phys.org.

“These original experiments took chunks of spin-glass alloy and subjected them to varying magnetic fields, and the observations suggested that if we made a programmable quantum spin glass, it could drive down to low-energy states of optimization problems faster than analogous classical algorithms. A Science paper published in 2014 tried to verify this on a D-Wave Two processor, but no speedup was found.”

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“This is a ‘full circle’ moment, in the sense that we have verified and extended the hypothesis of the UChicago [University of Chicago] and NEC [Nippon Electric Company] researchers; quantum annealing shows a scaling advantage over simulated thermal annealing,” King said. “Ours is the largest programmable quantum simulation ever performed; reproducing it classically is way beyond the reach of known methods.”

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“We have a clear view of quantum effects and very clear evidence, both theoretical and experimental, that the quantum effects are conferring a computational scaling advantage over classical methods,” King said. “We want to highlight the difference between this original definition of quantum advantage and the fact that it is sometimes used as a stand-in term for quantum supremacy, which we have not demonstrated. [emphases mine] Gate-model quantum computers have not shown any capabilities approaching this for optimization, and I personally don’t believe they ever will.”

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“For a long time, it was subject for debate whether or not coherent quantum dynamics were playing any role at all in quantum annealing,” King said. “While this controversy has been rebuked by previous works, this new research is the clearest demonstration yet, by far.”

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An April 19, 2023 D-Wave Systems news release, which seems to have been the basis for Fadelli’s article, provides more detail in a release that functions as a research announcement and a sales tool, Note: Links have been removed,

D-Wave Quantum Inc. (NYSE: QBTS), a leader in quantum computing systems, software, and services—and the only provider building both annealing and gate-model quantum computers, today published a peer-reviewed milestone paper showing the performance of its 5,000 qubit Advantage™ quantum computer is significantly faster than classical compute on 3D spin glass optimization problems, an intractable class of optimization problems. This paper also represents the largest programmable quantum simulation reported to date.

The paper—a collaboration between scientists from D-Wave and Boston University—entitled “Quantum critical dynamics in a 5,000-qubit programmable spin glass,” was published in the peer-reviewed journal Nature today and is available here. Building upon research conducted on up to 2,000 qubits last September, the study shows that the D-Wave quantum processor can compute coherent quantum dynamics in large-scale optimization problems. This work was done using D-Wave’s commercial-grade annealing-based quantum computer, which is accessible for customers to use today.

With immediate implications to optimization, the findings show that coherent quantum annealing can improve solution quality faster than classical algorithms. The observed speedup matches the theory of coherent quantum annealing and shows​ a direct connection between coherence and the core computational power of quantum annealing.

“This research marks a significant achievement for quantum technology, as it demonstrates a computational advantage over classical approaches for an intractable class of optimization problems,” said Dr. Alan Baratz, CEO of D-Wave. “For those seeking evidence of quantum annealing’s unrivaled performance, this work offers definitive proof.

This work supports D-Wave’s ongoing commitment to relentless scientific innovation and product delivery, as the company continues development on its future annealing and gate model quantum computers. To date, D-Wave has brought to market five generations of quantum computers and launched an experimental prototype of its sixth-generation machine, the Advantage2™ system, in June 2022. The full Advantage2 system is expected to feature 7,000+ qubits, 20-way connectivity and higher coherence to solve even larger and more complex problems. Read more about the research in our Medium post here.

Paper’s Authors and Leading Industry Voices Echo Support

“This is an important advance in the study of quantum phase transitions on quantum annealers. It heralds a revolution in experimental many-body physics and bodes well for practical applications of quantum computing,” said Wojciech Zurek, theoretical physicist at Los Alamos National Laboratory and leading authority on quantum theory. Dr. Zurek is widely renowned for his groundbreaking contribution to our understanding of the early universe as well as condensed matter systems through the discovery of the celebrated Kibble-Zurek mechanism. This mechanism underpins the physics behind the experiment reported in this paper. “The same hardware that has already provided useful experimental proving ground for quantum critical dynamics can be also employed to seek low-energy states that assist in finding solutions to optimization problems.”

“Disordered magnets, such as spin glasses, have long functioned as model systems for testing solvers of complex optimization problems,” said Gabriel Aeppli, professor of physics at ETH Zürich and EPF Lausanne, and head of the Photon Science Division of the Paul Scherrer Institut. Professor Aeppli coauthored the first experimental paper demonstrating advantage of quantum annealing over thermal annealing in reaching ground state of disordered magnets. “This paper gives evidence that the quantum dynamics of a dedicated hardware platform are faster than for known classical algorithms to find the preferred, lowest energy state of a spin glass, and so promises to continue to fuel the further development of quantum annealers for dealing with practical problems.”

“As a physicist who has built my career on computer simulations of quantum systems, it has been amazing to experience first-hand the transformative capabilities of quantum annealing devices,” said Anders Sandvik, professor of physics at Boston University and a coauthor of the paper. “This paper already demonstrates complex quantum dynamics on a scale beyond any classical simulation method, and I’m very excited about the expected enhanced performance of future devices. I believe we are now entering an era when quantum annealing becomes an essential tool for research on complex systems.”

“This work marks a major step towards large-scale quantum simulations of complex materials,” said Hidetoshi Nishimori, Professor, Institute of Innovative Research, Tokyo Institute of Technology and one of the original inventors of quantum annealing. “We can now expect novel physical phenomena to be revealed by quantum simulations using quantum annealing, ultimately leading to the design of materials of significant societal value.”

“This represents some of the most important experimental work ever performed in quantum optimization,” said Dr. Andrew King, director of performance research at D-Wave. “We’ve demonstrated a speedup over simulated annealing, in strong agreement with theory, providing high-quality solutions for large-scale problems. This work shows clear evidence of quantum dynamics in optimization, which we believe paves the way for even more complex problem-solving using quantum annealing in the future. The work exhibits a programmable realization of lab experiments that originally motivated quantum annealing 25 years ago.”

“Not only is this the largest demonstration of quantum simulation to date, but it also provides the first experimental evidence, backed by theory, that coherent quantum dynamics can accelerate the attainment of better solutions in quantum annealing,” said Mohammad Amin, fellow, quantum algorithms and systems, at D-Wave. “The observed speedup can be attributed to complex critical dynamics during quantum phase transition, which cannot be replicated by classical annealing algorithms, and the agreement between theory and experiment is remarkable. We believe these findings have significant implications for quantum optimization, with practical applications in addressing real-world problems.”

About D-Wave Quantum Inc.

D-Wave is a leader in the development and delivery of quantum computing systems, software, and services, and is the world’s first commercial supplier of quantum computers—and the only company building both annealing quantum computers and gate-model quantum computers. Our mission is to unlock the power of quantum computing today to benefit business and society. We do this by delivering customer value with practical quantum applications for problems as diverse as logistics, artificial intelligence, materials sciences, drug discovery, scheduling, cybersecurity, fault detection, and financial modeling. D-Wave’s technology is being used by some of the world’s most advanced organizations, including Volkswagen, Mastercard, Deloitte, Davidson Technologies, ArcelorMittal, Siemens Healthineers, Unisys, NEC Corporation, Pattison Food Group Ltd., DENSO, Lockheed Martin, Forschungszentrum Jülich, University of Southern California, and Los Alamos National Laboratory.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, which statements are based on beliefs and assumptions and on information currently available. In some cases, you can identify forward-looking statements by the following words: “may,” “will,” “could,” “would,” “should,” “expect,” “intend,” “plan,” “anticipate,” “believe,” “estimate,” “predict,” “project,” “potential,” “continue,” “ongoing,” or the negative of these terms or other comparable terminology, although not all forward-looking statements contain these words. These statements involve risks, uncertainties, and other factors that may cause actual results, levels of activity, performance, or achievements to be materially different from the information expressed or implied by these forward-looking statements. We caution you that these statements are based on a combination of facts and factors currently known by us and our projections of the future, which are subject to a number of risks. Forward-looking statements in this press release include, but are not limited to, statements regarding the impact of the results of this study; the company’s Advantage2™ experimental prototype; and the potential for future problem-solving using quantum annealing. We cannot assure you that the forward-looking statements in this press release will prove to be accurate. These forward-looking statements are subject to a number of risks and uncertainties, including, among others, various factors beyond management’s control, including general economic conditions and other risks, our ability to expand our customer base and the customer adoption of our solutions, and the uncertainties and factors set forth in the sections entitled “Risk Factors” and “Cautionary Note Regarding Forward-Looking Statements” in D-Wave Quantum Inc.’s Form S-4 Registration Statement, as amended, previously filed with the Securities and Exchange Commission, as well as factors associated with companies, such as D-Wave, that are engaged in the business of quantum computing, including anticipated trends, growth rates, and challenges in those businesses and in the markets in which they operate; the outcome of any legal proceedings that may be instituted against us; risks related to the performance of our business and the timing of expected business or financial milestones; unanticipated technological or project development challenges, including with respect to the cost and or timing thereof; the performance of the our products; the effects of competition on our business; the risk that we will need to raise additional capital to execute our business plan, which may not be available on acceptable terms or at all; the risk that we may never achieve or sustain profitability; the risk that we are unable to secure or protect our intellectual property; volatility in the price of our securities; and the risk that our securities will not maintain the listing on the NYSE. Furthermore, if the forward-looking statements contained in this press release prove to be inaccurate, the inaccuracy may be material. In addition, you are cautioned that past performance may not be indicative of future results. In light of the significant uncertainties in these forward-looking statements, you should not place undue reliance on these statements in making an investment decision or regard these statements as a representation or warranty by any person we will achieve our objectives and plans in any specified time frame, or at all. The forward-looking statements in this press release represent our views as of the date of this press release. We anticipate that subsequent events and developments will cause our views to change. However, while we may elect to update these forward-looking statements at some point in the future, we have no current intention of doing so except to the extent required by applicable law. You should, therefore, not rely on these forward-looking statements as representing our views as of any date subsequent to the date of this press release.

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

Quantum critical dynamics in a 5,000-qubit programmable spin glass by Andrew D. King, Jack Raymond, Trevor Lanting, Richard Harris, Alex Zucca, Fabio Altomare, Andrew J. Berkley, Kelly Boothby, Sara Ejtemaee, Colin Enderud, Emile Hoskinson, Shuiyuan Huang, Eric Ladizinsky, Allison J. R. MacDonald, Gaelen Marsden, Reza Molavi, Travis Oh, Gabriel Poulin-Lamarre, Mauricio Reis, Chris Rich, Yuki Sato, Nicholas Tsai, Mark Volkmann, Jed D. Whittaker, Jason Yao, Anders W. Sandvik & Mohammad H. Amin. Nature volume 617, pages 61–66 (2023) DOI: https://doi.org/10.1038/s41586-023-05867-2 Published: 19 April 2023 Issue Date: 04 May 2023

This paper is behind a paywall but there is an open access version on the arxiv website which means that it has had some peer review but may differ from the version in Nature.

Physics in James Joyce’s Ulysses and physics amongst the penguins

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So James Joyce included some physics in his novel, Ulysses (serialized in The Little Review from March 1918 to December1920 and published as a novel in February 1922)?

That’s not the only surprise. Apparently, penguins perform some interesting feats from a physics perspective. I have two stories about penguin physics with the latest research being published in June 2023.

Let’s start with literature.

James Joyce, Ulysses, and 19th century physics

This article came to my attention in April 2023 but the material is from 2021/22. Thankfully, since it’s a literature topic, timing doesn’t matter quite as much as it does for other topics. From a December 22, 2021 American Institute of Physics news release highlights an intriguing article in The Physics Teacher,

James Joyce’s book “Ulysses” is widely considered a 20th-century literary masterpiece. It also contains a surprising amount of 19th-century classical physics, according to Harry Manos, faculty member at Los Angeles City College.

“Ulysses” chronicles the ordinary life of the protagonist Leopold Bloom over a single day in 1904. In The Physics Teacher, by AIP Publishing, Manos reveals several connections that have not been analyzed before in the Joycean literature between classic physics prevalent during that time and various passages of the book.

“‘Ulysses’ exemplifies what physics students and teachers should realize — namely, physics and literature are not mutually exclusive,” Manos said.

Manos shows how Joyce uses the optics of concave and convex mirrors to metaphorically parallel “Ulysses” with Homer’s “Odyssey,” and how Joyce uses physics to show Bloom’s strengths and weaknesses in science.

…

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

Physics in James Joyce’s Ulysses by Harry Manos. The Physics Teacher 60, 6–10 (2022) DOI: https://doi.org/10.1119/5.0028832 Published online: January 1, 2022

This paper is behind a paywall but there is a freely available abstract

Ulysses by James Joyce (1882–1941) has a surprising amount of 19th-century, classical physics. The physics community is familiar with the name James Joyce mainly through the word “quark” (onomatopoeic for the sound of a duck or seagull), which Murray Gell-Mann (1929-2019 – Physics Nobel Prize 1969) sourced from Joyce’s Finnegan’s Wake. Ulysses, however, was ranked number one in 1998 on the Modern Library “100 Best Novels” list and is, in whole or in part, in the literature curriculum in university English departments worldwide. The fact that Ulysses contains so much classical physics should not be surprising. Joyce’s friend Eugene Jolas observed: “the range of subjects he [Joyce] enjoyed discussing was a wide one … [including] certain sciences, particularly physics, geometry, and mathematics.” Knowing physics can enhance everyone’s understanding of this novel and enrich its entertainment value. Ulysses exemplifies what physics students (science and non-science majors) and physics teachers should realize, namely, physics and literature are not mutually exclusive.

In addition to the December 22, 2021 American Institute of Physics news release which provides some detail about the physics in Ulysses, there’s Jennifer Ouellette’s April 2, 2023 article for Ars Technica where in addition to the material in the news release, she adds some intriguing information, Note: Links have been removed,

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In Chapter 15 (“Circe”), one of the characters says, “You can call me up by sunphone any old time”—a phrase that also appears in Joyce’s handwritten notes for the chapter. While Manos was unable to trace a specific source for this term, there was a similar device that had been invented some 20 years earlier: Alexander Graham Bell’s photophone, co-invented with his assistant Charles Sumner Tainter.

Unlike the telephone, which relies on electricity, the photophone transmitted sound on a beam of light. Bell’s voice was projected through the instrument to a mirror, causing similar vibrations in the mirror. When he directed sunlight into the mirror, it captured and projected the mirror’s vibrations via reflection, which were then transformed back into sound at the receiving end of the projection. Bell’s device never found immediate application, but it’s arguably the progenitor to modern fiber-optic telecommunications.

There are several other instances of physics (both correct and incorrect/outdated) mentioned in Ulysses, per Manos, including Bloom misunderstanding the science of X-rays; his confusion over parallax; trying to figure out the source of buoyancy in the Dead Sea; ruminating on Archimedes’ “burning glass”; seeing rainbow colors in a water spray; and pondering why he hears the ocean when he places a seashell to his ear. Manos believes introducing literature like Ulysses into physics courses could be a boon for non-majors, as well as encouraging physics and engineering students to learn more about literature.

In fact, Manos notes that an earlier 1995 paper introduced a handy introductory physics problem involving distance, velocity, and time. Ulysses opens with Stephen Dedalus and his roommate, Buck Mulligan, standing at the Martello tower overlooking a bay at Sandy Cove. …

Now onto …

Penguin physics

Two stories, two research teams, and six months separate their papers.

A February 7, 2023 news item on phys.org features work from a team of Japanese scientists studying how penguins turn in the water, Note: A link has been removed,

Penguins constitute a fascinating family of flightless birds, that although somewhat clumsy on land, are extremely talented swimmers. Their incredible maneuverability in water has captivated biologists for decades, with the first hydrodynamic studies on their swimming dating back to the 1970s.

Although a rare few studies have clarified some of the physics behind penguins’ dexterity, most of them have focused on forward swimming rather than turning. While one may argue that existing studies on the turning mechanisms of flying birds could shed some light on this topic, water is 800 hundred times denser than air, and thus the turning mechanisms employed are presumably very different between these media.

In an effort to bridge this knowledge gap, a pair of Japanese scientists from Tokyo Institute of Technology (Tokyo Tech), including Associate Professor Hiroto Tanaka, recently conducted a study. The main goal of this work, which was published in Journal of Experimental Biology, was to gain a better understanding of the three dimensional (3D) kinematics and hydrodynamic forces that enable penguins to turn underwater.

Penguin Physics: Understanding the Mechanisms of Underwater Turning Maneuvers in Penguins
Credit: Tokyo Institute of Technology

A February 8, 2023 Tokyo Institute of Technology (Tokyo Tech) press release, which originated the news item, describes the research in more technical detail,

The researchers recorded two sessions of gentoo penguins (Pygoscelis papua) free swimming in a large water tank at Nagasaki Penguin Aquarium, Japan, using a dozen or more underwater cameras. Then, thanks to a technique called 3D direct linear transformation, they were able to integrate data from all the footage and conduct detailed 3D motion analyses by tracking various points on the penguins’ bodies and wings.

Armed with these data, the researchers then established a mathematical 3D body model of the penguins. This model covered the orientation and angles of the body, the different positions and motions of the wings during each stroke, the associated kinematic parameters and hydrodynamic forces, and various turning metrics. Through statistical analyses and comparisons with the experimental data, the researchers validated the model and gained insight into the role of the wings and other body movements during turning.

The main findings of the study were related to how penguins generate centripetal force to assist their turns. They achieve this, in part, is by maintaining outward banking, which means that they tilt their bodies such that their belly faces inward. In powered turns—those in which the penguin flaps its wings—the majority of changes in direction occur during the upstroke, whereas the forward thrust occurs during the downstroke. In addition, it turns out that penguins flap their wings with a certain asymmetry during powered turns. “We found contralateral differences in wing motion; the wing on the inside of the turn becomes more elevated during the upstroke than the other,” explains Assoc. Prof. Tanaka, “Quasi-steady calculations of wing forces confirmed that this asymmetry in wing motion with the outward banking contributes to the generation of centripetal force during the upstroke. In the following downstroke, the inside wing generates thrust and counter yaw torque to brake the turning.”

Overall, these findings contribute to a greater understanding of how penguins turn when swimming, which is relevant from both biological and engineering standpoints. However, Assoc. Prof. Tanaka remarks that these findings bring but one piece to the puzzle: “The mechanisms of various other maneuvers in penguins, such as rapid acceleration, pitch up and down, and jumping out of the water, are still unknown. Our study serves as the basis for further understanding of more complex maneuvers.”

Let us hope future research helps fully clarify how penguins achieve their mesmerizing aquatic prowess!

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

Kinematic and hydrodynamic analyses of turning manoeuvres in penguins: body banking and wing upstroke generate centripetal force by Natsuki Harada and Hiroto Tanaka. J Exp Biol (2022) 225 (24): jeb244124. DOI: https://doi.org/10.1242/jeb.244124 Published online December 22, 2022

This paper is open access.

Penguins are the fastest swimming birds and this team published a paper about their propulsion six months after the ‘turning’ team according to a June 20, 2023 news item on phys.org,

Penguins aren’t just cute: they’re also speedy. Gentoo penguins are the fastest swimming birds in the world, and that ability comes from their unique and sophisticated wings.

Researchers from the University of Chinese Academy of Sciences, Chinese Academy of Sciences, and King Mongkut’s Institute of Technology Ladkrabang [KMITL or KMIT Ladkrabang; Thailand] developed a model to explore the forces and flow structures created by penguin wings underwater. They determined that wing feathering is the main factor for generating thrust. Their findings have been published in the journal Physics of Fluids.

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An American Institute of Physics June 20, 2022 news release (also on EurekAlert), which originated the news item, provides further explanation of how penguins are able to achieve their swimming speed,

Penguin wings, aka flippers, bear some resemblance to airplane wings covered with scaly feathers. To maximize efficiency underwater instead of in the air, penguin wings are shorter and flatter than those of flying birds.

The animals can adjust swimming posture by active wing feathering (changing the angle of their wings to reduce resistance), pitching, and flapping. Their dense, short feathers can also lock air between the skin and water to reduce friction and turbulence.

“Penguins’ superior swimming ability to start/brake, accelerate/decelerate, and turn swiftly is due to their freely waving wings. They allow penguins to propel and maneuver in the water and maintain balance on land,” said author Prasert Prapamonthon. “Our research team is always curious about sophisticated creatures in nature that would be beneficial to mankind.”

The hydrodynamic model takes in information about the flapping and feathering of the wings, including amplitude, frequency, and direction, and the fluid parameters, such as velocity and viscosity. Using the immersed boundary method, it solves for the motion of the wing and the thrust, lift, and lateral forces.

To establish the movement of wings across species, researchers use the ratio of wing flapping speed to forward speed. This value avoids any differences between air and water. Additionally, the authors define an angle of thrust, determined by the angle of the wings. Both of these parameters have a significant impact on the penguin’s thrust.

“We proposed the concept of angle of thrust, which explains why finned wings generate thrust: Thrust is primarily determined by the angle of attack and the relative angle of the wings to the forward direction,” said Prapamonthon. “The angle of thrust is an important concept in studying the mechanism of thrust generated by flapping motion and will be useful for designing mechanical wing motion.”

These findings can guide the design of aquatic vehicles by quickly estimating propulsion performance without high experimental or computational costs.

In the future, the team plans to examine a more realistic 3D penguin model. They will incorporate different wing properties and motion, such as starting, braking, turning, and jumping in and out of water.

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

Hydrodynamic performance of a penguin wing: Effect of feathering and flapping by Hao Zhanzhou (郝占宙), Yin Bo (银波), Prasert Prapamonthon, Yang Guowei (杨国). Physics of Fluids 35 (6), 061907 (2023) DOI: https://doi.org/10.1063/5.0147776 Published online: June 20, 2023

This paper is open access.

Exotic magnetism: a quantum simulation from D-Wave Sytems

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Vancouver (Canada) area company, D-Wave Systems is trumpeting itself (with good reason) again. This 2021 ‘milestone’ achievement builds on work from 2018 (see my August 23, 2018 posting for the earlier work). For me, the big excitement was finding the best explanation for quantum annealing and D-Wave’s quantum computers that I’ve seen yet (that explanation and a link to more is at the end of this posting).

A February 18, 2021 news item on phys.org announces the latest achievement,

D-Wave Systems Inc. today [February 18, 2021] published a milestone study in collaboration with scientists at Google, demonstrating a computational performance advantage, increasing with both simulation size and problem hardness, to over 3 million times that of corresponding classical methods. Notably, this work was achieved on a practical application with real-world implications, simulating the topological phenomena behind the 2016 Nobel Prize in Physics. This performance advantage, exhibited in a complex quantum simulation of materials, is a meaningful step in the journey toward applications advantage in quantum computing.

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A February 18, 2021 D-Wave Systems press release (also on EurekAlert), which originated the news item, describes the work in more detail,

The work by scientists at D-Wave and Google also demonstrates that quantum effects can be harnessed to provide a computational advantage in D-Wave processors, at problem scale that requires thousands of qubits. Recent experiments performed on multiple D-Wave processors represent by far the largest quantum simulations carried out by existing quantum computers to date.

The paper, entitled “Scaling advantage over path-integral Monte Carlo in quantum simulation of geometrically frustrated magnets”, was published in the journal Nature Communications (DOI 10.1038/s41467-021-20901-5, February 18, 2021). D-Wave researchers programmed the D-Wave 2000Q™ system to model a two-dimensional frustrated quantum magnet using artificial spins. The behavior of the magnet was described by the Nobel-prize winning work of theoretical physicists Vadim Berezinskii, J. Michael Kosterlitz and David Thouless. They predicted a new state of matter in the 1970s characterized by nontrivial topological properties. This new research is a continuation of previous breakthrough work published by D-Wave’s team in a 2018 Nature paper entitled “Observation of topological phenomena in a programmable lattice of 1,800 qubits” (Vol. 560, Issue 7719, August 22, 2018). In this latest paper, researchers from D-Wave, alongside contributors from Google, utilize D-Wave’s lower noise processor to achieve superior performance and glean insights into the dynamics of the processor never observed before.

“This work is the clearest evidence yet that quantum effects provide a computational advantage in D-Wave processors,” said Dr. Andrew King, principal investigator for this work at D-Wave. “Tying the magnet up into a topological knot and watching it escape has given us the first detailed look at dynamics that are normally too fast to observe. What we see is a huge benefit in absolute terms, with the scaling advantage in temperature and size that we would hope for. This simulation is a real problem that scientists have already attacked using the algorithms we compared against, marking a significant milestone and an important foundation for future development. This wouldn’t have been possible today without D-Wave’s lower noise processor.”

“The search for quantum advantage in computations is becoming increasingly lively because there are special problems where genuine progress is being made. These problems may appear somewhat contrived even to physicists, but in this paper from a collaboration between D-Wave Systems, Google, and Simon Fraser University [SFU], it appears that there is an advantage for quantum annealing using a special purpose processor over classical simulations for the more ‘practical’ problem of finding the equilibrium state of a particular quantum magnet,” said Prof. Dr. Gabriel Aeppli, professor of physics at ETH Zürich and EPF Lausanne, and head of the Photon Science Division of the Paul Scherrer Institute. “This comes as a surprise given the belief of many that quantum annealing has no intrinsic advantage over path integral Monte Carlo programs implemented on classical processors.”

“Nascent quantum technologies mature into practical tools only when they leave classical counterparts in the dust in solving real-world problems,” said Hidetoshi Nishimori, Professor, Institute of Innovative Research, Tokyo Institute of Technology. “A key step in this direction has been achieved in this paper by providing clear evidence of a scaling advantage of the quantum annealer over an impregnable classical computing competitor in simulating dynamical properties of a complex material. I send sincere applause to the team.”

“Successfully demonstrating such complex phenomena is, on its own, further proof of the programmability and flexibility of D-Wave’s quantum computer,” said D-Wave CEO Alan Baratz. “But perhaps even more important is the fact that this was not demonstrated on a synthetic or ‘trick’ problem. This was achieved on a real problem in physics against an industry-standard tool for simulation–a demonstration of the practical value of the D-Wave processor. We must always be doing two things: furthering the science and increasing the performance of our systems and technologies to help customers develop applications with real-world business value. This kind of scientific breakthrough from our team is in line with that mission and speaks to the emerging value that it’s possible to derive from quantum computing today.”

The scientific achievements presented in Nature Communications further underpin D-Wave’s ongoing work with world-class customers to develop over 250 early quantum computing applications, with a number piloting in production applications, in diverse industries such as manufacturing, logistics, pharmaceutical, life sciences, retail and financial services. In September 2020, D-Wave brought its next-generation Advantage™ quantum system to market via the Leap™ quantum cloud service. The system includes more than 5,000 qubits and 15-way qubit connectivity, as well as an expanded hybrid solver service capable of running business problems with up to one million variables. The combination of Advantage’s computing power and scale with the hybrid solver service gives businesses the ability to run performant, real-world quantum applications for the first time.

That last paragraph seems more sales pitch than research oriented. It’s not unexpected in a company’s press release but I was surprised that the editors at EurekAlert didn’t remove it.

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

Scaling advantage over path-integral Monte Carlo in quantum simulation of geometrically frustrated magnets by Andrew D. King, Jack Raymond, Trevor Lanting, Sergei V. Isakov, Masoud Mohseni, Gabriel Poulin-Lamarre, Sara Ejtemaee, William Bernoudy, Isil Ozfidan, Anatoly Yu. Smirnov, Mauricio Reis, Fabio Altomare, Michael Babcock, Catia Baron, Andrew J. Berkley, Kelly Boothby, Paul I. Bunyk, Holly Christiani, Colin Enderud, Bram Evert, Richard Harris, Emile Hoskinson, Shuiyuan Huang, Kais Jooya, Ali Khodabandelou, Nicolas Ladizinsky, Ryan Li, P. Aaron Lott, Allison J. R. MacDonald, Danica Marsden, Gaelen Marsden, Teresa Medina, Reza Molavi, Richard Neufeld, Mana Norouzpour, Travis Oh, Igor Pavlov, Ilya Perminov, Thomas Prescott, Chris Rich, Yuki Sato, Benjamin Sheldan, George Sterling, Loren J. Swenson, Nicholas Tsai, Mark H. Volkmann, Jed D. Whittaker, Warren Wilkinson, Jason Yao, Hartmut Neven, Jeremy P. Hilton, Eric Ladizinsky, Mark W. Johnson, Mohammad H. Amin. Nature Communications volume 12, Article number: 1113 (2021) DOI: https://doi.org/10.1038/s41467-021-20901-5 Published: 18 February 2021

This paper is open access.

Quantum annealing and more

Dr. Andrew King, one of the D-Wave researchers, has written a February 18, 2021 article on Medium explaining some of the work. I’ve excerpted one of King’s points,

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Insight #1: We observed what actually goes on under the hood in the processor for the first time

Quantum annealing — the approach adopted by D-Wave from the beginning — involves setting up a simple but purely quantum initial state, and gradually reducing the “quantumness” until the system is purely classical. This takes on the order of a microsecond. If you do it right, the classical system represents a hard (NP-complete) computational problem, and the state has evolved to an optimal, or at least near-optimal, solution to that problem.

What happens at the beginning and end of the computation are about as simple as quantum computing gets. But the action in the middle is hard to get a handle on, both theoretically and experimentally. That’s one reason these experiments are so important: they provide high-fidelity measurements of the physical processes at the core of quantum annealing. Our 2018 Nature article introduced the same simulation, but without measuring computation time. To benchmark the experiment this time around, we needed lower-noise hardware (in this case, we used the D-Wave 2000Q lower noise quantum computer), and we needed, strangely, to slow the simulation down. Since the quantum simulation happens so fast, we actually had to make things harder. And we had to find a way to slow down both quantum and classical simulation in an equitable way. The solution? Topological obstruction.

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If you have time and the inclination, I encourage you to read King’s piece.

Put a ring on it: preventing clumps of gold nanoparticles

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Caption: A comparison of how linear PEG (left) and cyclic PEG (right) attach to a gold nanoparticle Credit: Yubo Wang, Takuya Yamamoto

A January 20, 2021 news item on phys.org focuses on work designed to stop gold nanoparticles from clumping together (Note: A link has been removed),

Hokkaido University scientists have found a way to prevent gold nanoparticles from clumping, which could help towards their use as an anti-cancer therapy.

Attaching ring-shaped synthetic compounds to gold nanoparticles helps them retain their essential light-absorbing properties, Hokkaido University researchers report in the journal Nature Communications.

…

A January 20, 2021 Hokkaido University press release (also on EurekAlert but published Jan. 21, 2020), which originated the news item, elaborates on the work,

Metal nanoparticles have unique light-absorbing properties, making them interesting for a wide range of optical, electronic and biomedical applications. For example, if delivered to a tumour, they could react with applied light to kill cancerous tissue. A problem with this approach, though, is that they easily clump together in solution, losing their ability to absorb light. This clumping happens in response to a variety of factors, including temperature, salt concentration and acidity.

Scientists have been trying to find ways to ensure nanoparticles stay dispersed in their target environments. Covering them with polyethylene glycol, otherwise known as PEG, has been relatively successful at this in the case of gold nanoparticles. PEG is biocompatible and can prevent gold surfaces from clumping together in the laboratory and in living organisms, but improvements are still needed.

Applied chemist Takuya Yamamoto and colleagues at Hokkaido University, The University of Tokyo, and Tokyo Institute of Technology found that mixing gold nanoparticles with ring-shaped PEG, rather than the normally linear PEG, significantly improved dispersion. The ‘cyclic-PEG’ (c-PEG) attaches to the surfaces of the nanoparticles without forming chemical bonds with them, a process called physisorption. The coated nanoparticles remained dispersed when frozen, freeze-dried and heated.

The team tested the c-PEG-covered gold nanoparticles in mice and found that they cleared slowly from the blood and accumulated better in tumours compared to gold nanoparticles coated with linear PEG. However, accumulation was lower than desired levels, so the researchers recommend further investigations to fine-tune the nanoparticles for this purpose.

Associate Professor Takuya Yamamoto is part of the Laboratory of Chemistry of Molecular Assemblies at Hokkaido University, where he studies the properties and applications of various cyclic chemical compounds.

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

Enhanced dispersion stability of gold nanoparticles by the physisorption of cyclic poly(ethylene glycol) by Yubo Wang, Jose Enrico Q. Quinsaat, Tomoko Ono, Masatoshi Maeki, Manabu Tokeshi, Takuya Isono, Kenji Tajima, Toshifumi Satoh, Shin-ichiro Sato, Yutaka Miura & Takuya Yamamoto. Nature Communications volume 11, Article number: 6089 (2020) DOI: https://doi.org/10.1038/s41467-020-19947-8 Published: 30 November 2020

This paper is open access.

A deep look at atomic switches

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A July 19, 2019 news item on phys.org describes research that may result in a substantive change for information technology,

A team of researchers from Tokyo Institute of Technology has gained unprecedented insight into the inner workings of an atomic switch. By investigating the composition of the tiny metal ‘bridge’ that forms inside the switch, their findings may spur the design of atomic switches with improved performance.

A July 22, 2019 Tokyo Institute of Technology press release (also on EurekAlert but published July 19, 2019), which originated the news item, explains how this research could have such an important impact,

Atomic switches are hailed as the tiniest of electrochemical switches that could change the face of information technology. Due to their nanoscale dimensions and low power consumption, they hold promise for integration into next-generation circuits that could drive the development of artificial intelligence (AI) and Internet of Things (IoT) devices.

Although various designs have emerged, one intriguing question concerns the nature of the metallic filament, or bridge, that is key to the operation of the switch. The bridge forms inside a metal sulfide layer sandwiched between two electrodes [see figure below], and is controlled by applying a voltage that induces an electrochemical reaction. The formation and annihilation of this bridge determines whether the switch is on or off.

Now, a research group including Akira Aiba and Manabu Kiguchi and colleagues at Tokyo Institute of Technology’s Department of Chemistry has found a useful way to examine precisely what the bridge is composed of.

By cooling the atomic switch enough so as to be able to investigate the bridge using a low-temperature measurement technique called point contact spectroscopy (PCS) [2], their study revealed that the bridge is made up of metal atoms from both the electrode and the metal sulfide layer. This surprising finding controverts the prevailing notion that the bridge derives from the electrode only, Kiguchi explains.

The team compared atomic switches with different combinations of electrodes (Pt and Ag, or Pt and Cu) and metal sulfide layers (Cu2S and Ag2S). In both cases, they found that the bridge is mainly composed of Ag.

The reason behind the dominance of Ag in the bridge is likely due to “the higher mobility of Ag ions compared to Cu ions”, the researchers say in their paper published in ACS Applied Materials & Interfaces.

They conclude that “it would be better to use metals with low mobility” for designing atomic switches with higher stability.

Much remains to be explored in the advancement of atomic switch technologies, and the team is continuing to investigate which combination of elements would be the most effective in improving performance.

###

Technical terms
[1] Atomic switch: The idea behind an atomic switch — one that can be controlled by the motion of a single atom — was introduced by Donald Eigler and colleagues at the IBM Almaden Research Center in 1991. Interest has since focused on how to realize and harness the potential of such extremely small switches for use in logic circuits and memory devices. Over the past two decades, researchers in Japan have taken a world-leading role in the development of atomic switch technologies.
[2] Point contact spectroscopy: A method of measuring the properties or excitations of single atoms at low temperature.

Caption: The ‘bridge’ that forms within the metal sulfide layer, connecting two metal electrodes, results in the atomic switch being turned on. Credit: Manabu Kiguchi

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

Investigation of Ag and Cu Filament Formation Inside the Metal Sulfide Layer of an Atomic Switch Based on Point-Contact Spectroscopy by A. Aiba, R. Koizumi, T. Tsuruoka, K. Terabe, K. Tsukagoshi, S. Kaneko, S. Fujii, T. Nishino, M. Kiguchi. ACS Appl. Mater. Interfaces 2019 XXXXXXXXXX-XXX DOI: https://doi.org/10.1021/acsami.9b05523 Publication Date:July 5, 2019 Copyright © 2019 American Chemical Society

This paper is behind a paywall.

For anyone who might need a bit of a refresher for the chemical elements, Pt is platinum, Ag is silver, and Cu is copper. So, with regard to the metal sulfide layers Cu2S is copper sulfide and Ag2S is silver sulfide.

Periodic table of nanomaterials

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This charming illustration is the only pictorial representation i’ve seen for Kyoto University’s (Japan) proposed periodic table of nanomaterials, (By the way, 2019 is UNESCO’s [United Nations Educational, Scientific and Cultural Organization] International Year of the Periodic Table of Elements, an event recognizing the table’s 150th anniversary. See my January 8, 2019 posting for information about more events.)

Caption: Molecules interact and align with each other as they self-assemble. This new simulation enables to find what molecules best interact with each other to build nanomaterials, such as materials that work as a nano electrical wire.
Credit Illustration by Izumi Mindy Takamiya

A July 23, 2018 news item on Nanowerk announces the new periodic table (Note: A link has been removed),

The approach was developed by Daniel Packwood of Kyoto University’s Institute for Integrated Cell-Material Sciences (iCeMS) and Taro Hitosugi of the Tokyo Institute of Technology (Nature Communications, “Materials informatics for self-assembly of functionalized organic precursors on metal surfaces”). It involves connecting the chemical properties of molecules with the nanostructures that form as a result of their interaction. A machine learning technique generates data that is then used to develop a diagram that categorizes different molecules according to the nano-sized shapes they form.

This approach could help materials scientists identify the appropriate molecules to use in order to synthesize target nanomaterials.

A July 23, 2018 Kyoto University press release on EurekAlert, which originated the news item, explains further about the computer simulations run by the scientists in pursuit of their specialized periodic table,

Fabricating nanomaterials using a bottom-up approach requires finding ‘precursor molecules’ that interact and align correctly with each other as they self-assemble. But it’s been a major challenge knowing how precursor molecules will interact and what shapes they will form.

Bottom-up fabrication of graphene nanoribbons is receiving much attention due to their potential use in electronics, tissue engineering, construction, and bio-imaging. One way to synthesise them is by using bianthracene precursor molecules that have bromine ‘functional’ groups attached to them. The bromine groups interact with a copper substrate to form nano-sized chains. When these chains are heated, they turn into graphene nanoribbons.

Packwood and Hitosugi tested their simulator using this method for building graphene nanoribbons.

Data was input into the model about the chemical properties of a variety of molecules that can be attached to bianthracene to ‘functionalize’ it and facilitate its interaction with copper. The data went through a series of processes that ultimately led to the formation of a ‘dendrogram’.

This showed that attaching hydrogen molecules to bianthracene led to the development of strong one-dimensional nano-chains. Fluorine, bromine, chlorine, amidogen, and vinyl functional groups led to the formation of moderately strong nano-chains. Trifluoromethyl and methyl functional groups led to the formation of weak one-dimensional islands of molecules, and hydroxide and aldehyde groups led to the formation of strong two-dimensional tile-shaped islands.

The information produced in the dendogram changed based on the temperature data provided. The above categories apply when the interactions are conducted at -73°C. The results changed with warmer temperatures. The researchers recommend applying the data at low temperatures where the effect of the functional groups’ chemical properties on nano-shapes are most clear.

The technique can be applied to other substrates and precursor molecules. The researchers describe their method as analogous to the periodic table of chemical elements, which groups atoms based on how they bond to each other. “However, in order to truly prove that the dendrograms or other informatics-based approaches can be as valuable to materials science as the periodic table, we must incorporate them in a real bottom-up nanomaterial fabrication experiment,” the researchers conclude in their study published in the journal xxx. “We are currently pursuing this direction in our laboratories.”

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

Materials informatics for self-assembly of functionalized organic precursors on metal surfaces by Daniel M. Packwood & Taro Hitosugi. Nature Communicationsvolume 9, Article number: 2469 (2018)DOI: https://doi.org/10.1038/s41467-018-04940-z Published 25 June 2018

This paper is open access.

Nano-saturn

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It’s a bit of a stretch but I really appreciate how the nanoscale (specifically a fullerene) is being paired with the second largest planet (the largest is Jupiter) in our solar system. (See Nola Taylor Redd’s November 14, 2012 article on space.com for more about the planet Saturn.)

From a June 8, 2018 news item on ScienceDaily,

Saturn is the second largest planet in our solar system and has a characteristic ring. Japanese researchers have now synthesized a molecular “nano-Saturn.” As the scientists report in the journal Angewandte Chemie, it consists of a spherical C(60) fullerene as the planet and a flat macrocycle made of six anthracene units as the ring. The structure is confirmed by spectroscopic and X-ray analyses.

A June 8, 2018  Wiley Publications press release (also on EurekAlert), which originated the news item, fills in some details,

Nano-Saturn systems with a spherical molecule and a macrocyclic ring have been a fascinating structural motif for researchers. The ring must have a rigid, circular form, and must hold the molecular sphere firmly in its midst. Fullerenes are ideal candidates for the nano-sphere. They are made of carbon atoms linked into a network of rings that form a hollow sphere. The most famous fullerene, C60, consists of 60 carbon atoms arranged into 5- and 6-membered rings like the leather patches of a classic soccer ball. The electrons in their double bonds, knows as the π-electrons, are in a kind of “electron cloud”, able to freely move about and have binding interactions with other molecules, such as a macrocycle that also has a “cloud” of π-electrons. The attractive interactions between the electron clouds allow fullerenes to lodge in the cavities of such macrocycles.

A series of such complexes has previously been synthesized. Because of the positions of the electron clouds around the macrocycles, it was previously only possible to make rings that surround the fullerene like a belt or a tire. The ring around Saturn, however, is not like a “belt” or “tire”, it is a very flat disc. Researchers working at the Tokyo Institute of Technology and Okayama University of Science (Japan) wanted to properly imitate this at nanoscale.

Their success resulted from a different type of bonding between the “nano-planet” and its “nano-ring”. Instead of using the attraction between the π-electron clouds of the fullerene and macrocycle, the team working with Shinji Toyota used the weak attractive interactions between the π-electron cloud of the fullerene and non- π-electron of the carbon-hydrogen groups of the macrocycle.

To construct their “Saturn ring”, the researchers chose to use anthracene units, molecules made of three aromatic six-membered carbon rings linked along their edges. They linked six of these units into a macrocycle whose cavity was the perfect size and shape for a C60 fullerene. Eighteen hydrogen atoms of the macrocycle project into the middle of the cavity. In total, their interactions with the fullerene are enough to give the complex enough stability, as shown by computer simulations. By using X-ray analysis and NMR spectroscopy, the team was able to prove experimentally that they had produced Saturn-shaped complexes.

Here’s an illustration of the ‘nano-saturn’,

Courtesy: Wiley Publications

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

Nano‐Saturn: Experimental Evidence of Complex Formation of an Anthracene Cyclic Ring with C60 by Yuta Yamamoto, Dr. Eiji Tsurumaki, Prof. Dr. Kan Wakamatsu, Prof. Dr. Shinji Toyota. Angewandte Chemie https://doi.org/10.1002/anie.201804430 First published: 30 May 2018

This paper is behind a paywall.

nano tech 2017 being held in Tokyo from February 15-17, 2017

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I found some news about the Alberta technology scene in the programme for Japan’s nano tech 2017 exhibition and conference to be held Feb. 15 – 17, 2017 in Tokyo. First, here’s more about the show in Japan from a Jan. 17, 2017 nano tech 2017 press release on Business Wire (also on Yahoo News),

The nano tech executive committee (chairman: Tomoji Kawai, Specially Appointed Professor, Osaka University) will be holding “nano tech 2017” – one of the world’s largest nanotechnology exhibitions, now in its 16th year – on February 15, 2017, at the Tokyo Big Sight convention center in Japan. 600 organizations (including over 40 first-time exhibitors) from 23 countries and regions are set to exhibit at the event in 1,000 booths, demonstrating revolutionary and cutting edge core technologies spanning such industries as automotive, aerospace, environment/energy, next-generation sensors, cutting-edge medicine, and more. Including attendees at the concurrently held exhibitions, the total number of visitors to the event is expected to exceed 50,000.

The theme of this year’s nano tech exhibition is “Open Nano Collaboration.” By bringing together organizations working in a wide variety of fields, the business matching event aims to promote joint development through cross-field collaboration.

Special Symposium: “Nanotechnology Contributing to the Super Smart Society”

Each year nano tech holds Special Symposium, in which industry specialists from top organizations from Japan and abroad speak about the issues surrounding the latest trends in nanotech. The themes of this year’s Symposium are Life Nanotechnology, Graphene, AI/IoT, Cellulose Nanofibers, and Materials Informatics.

Notable sessions include:

Life Nanotechnology
“Development of microRNA liquid biopsy for early detection of cancer”
Takahiro Ochiya, National Cancer Center Research Institute Division of Molecular and Cellular Medicine, Chief

AI / IoT
“AI Embedded in the Real World”
Hideki Asoh, AIST Deputy Director, Artificial Intelligence Research Center

Cellulose Nanofibers [emphasis mine]
“The Current Trends and Challenges for Industrialization of Nanocellulose”
Satoshi Hirata, Nanocellulose Forum Secretary-General

Materials Informatics
“Perspective of Materials Research”
Hideo Hosono, Tokyo Institute of Technology Professor

View the full list of sessions:
>> http://nanotech2017.icsbizmatch.jp/Presentation/en/Info/List#main_theater

nano tech 2017 Homepage:
>> http://nanotechexpo.jp/

nano tech 2017, the 16th International Nanotechnology Exhibition & Conference
Date: February 15-17, 2017, 10:00-17:00
Venue: Tokyo Big Sight (East Halls 4-6 & Conference Tower)
Organizer: nano tech Executive Committee, JTB Communication Design

As you may have guessed the Alberta information can be found in the .Cellulose Nanofibers session. From the conference/seminar program page; scroll down about 25% of the way to find the Alberta presentation,

Production and Applications Development of Cellulose Nanocrystals (CNC) at InnoTech Alberta

Behzad (Benji) Ahvazi
InnoTech Alberta Team Lead, Cellulose Nanocrystals (CNC)

[ Abstract ]

The production and use of cellulose nanocrystals (CNC) is an emerging technology that has gained considerable interest from a range of industries that are working towards increased use of “green” biobased materials. The construction of one-of-a-kind CNC pilot plant [emphasis mine] at InnoTech Alberta and production of CNC samples represents a critical step for introducing the cellulosic based biomaterials to industrial markets and provides a platform for the development of novel high value and high volume applications. Major key components including feedstock, acid hydrolysis formulation, purification, and drying processes were optimized significantly to reduce the operation cost. Fully characterized CNC samples were provided to a large number of academic and research laboratories including various industries domestically and internationally for applications development.

[ Profile ]

Dr. Ahvazi completed his Bachelor of Science in Honours program at the Department of Chemistry and Biochemistry and graduated with distinction at Concordia University in Montréal, Québec. His Ph.D. program was completed in 1998 at McGill Pulp and Paper Research Centre in the area of macromolecules with solid background in Lignocellulosic, organic wood chemistry as well as pulping and paper technology. After completing his post-doctoral fellowship, he joined FPInnovations formally [formerly?] known as PAPRICAN as a research scientist (R&D) focusing on a number of confidential chemical pulping and bleaching projects. In 2006, he worked at Tembec as a senior research scientist and as a Leader in Alcohol and Lignin (R&D). In April 2009, he held a position as a Research Officer in both National Bioproducts (NBP1 & NBP2) and Industrial Biomaterials Flagship programs at National Research Council Canada (NRC). During his tenure, he had directed and performed innovative R&D activities within both programs on extraction, modification, and characterization of biomass as well as polymer synthesis and formulation for industrial applications. Currently, he is working at InnoTech Alberta as Team Lead for Biomass Conversion and Processing Technologies.

Canada scene update

InnoTech Alberta was until Nov. 1, 2016 known as Alberta Innovates – Technology Futures. Here’s more about InnoTech Alberta from the Alberta Innovates … home page,

Effective November 1, 2016, Alberta Innovates – Technology Futures is one of four corporations now consolidated into Alberta Innovates and a wholly owned subsidiary called InnoTech Alberta.

You will find all the existing programs, services and information offered by InnoTech Alberta on this website. To access the basic research funding and commercialization programs previously offered by Alberta Innovates – Technology Futures, explore here. For more information on Alberta Innovates, visit the new Alberta Innovates website.

As for InnoTech Alberta’s “one-of-a-kind CNC pilot plant,” I’d like to know more about it’s one-of-a-kind status since there are two other CNC production plants in Canada. (Is the status a consequence of regional chauvinism or a writer unfamiliar with the topic?). Getting back to the topic, the largest company (and I believe the first) with a CNC plant was CelluForce, which started as a joint venture between Domtar and FPInnovations and powered with some very heavy investment from the government of Canada. (See my July 16, 2010 posting about the construction of the plant in Quebec and my June 6, 2011 posting about the newly named CelluForce.) Interestingly, CelluForce will have a booth at nano tech 2017 (according to its Jan. 27, 2017 news release) although the company doesn’t seem to have any presentations on the schedule. The other Canadian company is Blue Goose Biorefineries in Saskatchewan. Here’s more about Blue Goose from the company website’s home page,

Blue Goose Biorefineries Inc. (Blue Goose) is pleased to introduce our R3TM process. R3TM technology incorporates green chemistry to fractionate renewable plant biomass into high value products.

Traditionally, separating lignocellulosic biomass required high temperatures, harsh chemicals, and complicated processes. R3TM breaks this costly compromise to yield high quality cellulose, lignin and hemicellulose products.

The robust and environmentally friendly R3TM technology has numerous applications. Our current product focus is cellulose nanocrystals (CNC). Cellulose nanocrystals are “Mother Nature’s Building Blocks” possessing unique properties. These unique properties encourage the design of innovative products from a safe, inherently renewable, sustainable, and carbon neutral resource.

Blue Goose assists companies and research groups in the development of applications for CNC, by offering CNC for sale without Intellectual Property restrictions. [emphasis mine]

Bravo to Blue Goose! Unfortunately, I was not able to determine if the company will be at nano tech 2017.

One final comment, there was some excitement about CNC a while back where I had more than one person contact me asking for information about how to buy CNC. I wasn’t able to be helpful because there was, apparently, an attempt by producers to control sales and limit CNC access to a select few for competitive advantage. Coincidentally or not, CelluForce developed a stockpile which has persisted for some years as I noted in my Aug. 17, 2016 posting (scroll down about 70% of the way) where the company announced amongst other events that it expected deplete its stockpile by mid-2017.

pH dependent nanoparticle-based contrast agent for MRIs (magnetic resonance images)

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This news about a safer and more effective contrast agent for MRIs (magnetic resonance images) developed by Japanese scientists come from a June 6, 2016 article by Heather Zeiger on phys.org. First some explanations,

Magnetic resonance imaging relies on the excitation and subsequent relaxation of protons. In clinical MRI studies, the signal is determined by the relaxation time of the hydrogen protons in water. To get a stronger signal, scientists can use contrast agents to shorten the relaxation time of the protons.

MRI is non-invasive and does not involve radiation, making it a safe diagnostic tool. However, its weak signal makes tumor detection difficult. The ideal contrast agent would select for malignant tumors, making its location and diagnosis much more obvious.

Nanoparticle contrast agents have been of interested because nanoparticles can be functionalized and, as in this study, can contain various metals. Researchers have attempted to functionalize nanoparticles with ligands that attach to chemical factors on the surface of cancer cells. However, cancer cells tend to be compositionally heterogeneous, leading some researchers to look for nanoparticles that respond to differences in pH or redox potential compared to normal cells.

Now for the research,

Researchers from the University of Tokyo, Tokyo Institute of Technology, Kawasaki Institute of Industry Promotion, and the Japan Agency for Quantum and Radiological Science and Technology have developed a contrast agent from calcium phosphate-based nanoparticles that release a manganese ion an acidic environment. …

Peng Mi, Daisuke Kokuryo, Horacio Cabral, Hailiang Wu, Yasuko Terada, Tsuneo Saga, Ichio Aoki, Nobuhiro Nishiyama, and Kazunori Kataoka developed a contrast agent that is comprised of Mn2+– doped CaP nanoparticles with a PEG shell. They reasoned that using CaP nanoparticles, which are known to be pH sensitive, would allow the targeted release of Mn2+ ions in the tumor microenvironment. The tumor microenvironment tends to have a lower pH than the normal regions to rapid cell metabolism in an oxygen-depleted environment. Manganese ions were tested because they are paramagnetic, which makes for a good contrast agent. They also bind to proteins creating a slowly rotating manganese-protein system that results in sharp contrast enhancement.

…

These results were promising, so Peng Mi, et al. then tested whether the CaPMnPEG contrast agent worked in solid tumors. Because Mn2+ remains confined within the nanoparticle matrix at physiological pH, CaPMnPEG demonstrate a much lower toxicity [emphasis mine] compared to MnCl2. MRI studies showed a tumor-to-normal contrast of 131% after 30 minute, which is much higher than Gd-DTPA [emphasis mine], a clinically approved contrast agent. After an hour, the tumor-to-normal ratio was 160% and remained around 170% for several hours.

Three-dimensional MRI studies of solid tumors showed that without the addition of CaPMnPEG, only blood vessels were visible. However, upon adding CaPMnPEG, the tumor was easily distinguishable. Additionally, there is evidence that excess Mn2+ leaves the plasma after an hour. The contrast signal remained strong for several hours indicating that protein binding rather than Mn2+ concentration is important for signal enhancement.

…

Finally, tests with metastatic tumors in the liver (C26 colon cancer cells) showed that CaPMnPEG works well in solid organ analysis and is highly sensitive to detecting millimeter-sized micrometastasis [emphasis mine]. Unlike other contrast agents used in the clinic, CaPMnPEG provided a contrast signal that lasted for several hours after injection. After an hour, the signal was enhanced by 25% and after two hours, the signal was enhanced by 39%.

This is exciting stuff. Bravo to the researchers!

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

A pH-activatable nanoparticle with signal-amplification capabilities for non-invasive imaging of tumour malignancy by Peng Mi, Daisuke Kokuryo, Horacio Cabral, Hailiang Wu, Yasuko Terada, Tsuneo Saga, Ichio Aoki, Nobuhiro Nishiyama, & Kazunori Kataoka. Nature Nanotechnology (2016) doi:10.1038/nnano.2016.72 Published online 16 May 2016

This paper is behind a paywall.

Ingestible origami robot gets one step closer

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Fiction, more or less seriously, has been exploring the idea of ingestible, tiny robots that can enter the human body for decades (Fantastic Voyage and Innerspace are two movie examples). The concept is coming closer to being realized as per a May 12, 2016 news item on phys.org,

In experiments involving a simulation of the human esophagus and stomach, researchers at MIT [Massachusetts Institute of Technology], the University of Sheffield, and the Tokyo Institute of Technology have demonstrated a tiny origami robot that can unfold itself from a swallowed capsule and, steered by external magnetic fields, crawl across the stomach wall to remove a swallowed button battery or patch a wound.

A May 12, 2016 MIT news release (also on EurekAlert), which originated the news item, provides some fascinating depth to this story (Note: Links have been removed),

The new work, which the researchers are presenting this week at the International Conference on Robotics and Automation, builds on a long sequence of papers on origami robots from the research group of Daniela Rus, the Andrew and Erna Viterbi Professor in MIT’s Department of Electrical Engineering and Computer Science.

“It’s really exciting to see our small origami robots doing something with potential important applications to health care,” says Rus, who also directs MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL). “For applications inside the body, we need a small, controllable, untethered robot system. It’s really difficult to control and place a robot inside the body if the robot is attached to a tether.”

Although the new robot is a successor to one reported at the same conference last year, the design of its body is significantly different. Like its predecessor, it can propel itself using what’s called a “stick-slip” motion, in which its appendages stick to a surface through friction when it executes a move, but slip free again when its body flexes to change its weight distribution.

Also like its predecessor — and like several other origami robots from the Rus group — the new robot consists of two layers of structural material sandwiching a material that shrinks when heated. A pattern of slits in the outer layers determines how the robot will fold when the middle layer contracts.

Material difference

The robot’s envisioned use also dictated a host of structural modifications. “Stick-slip only works when, one, the robot is small enough and, two, the robot is stiff enough,” says Guitron [Steven Guitron, a graduate student in mechanical engineering]. “With the original Mylar design, it was much stiffer than the new design, which is based on a biocompatible material.”

To compensate for the biocompatible material’s relative malleability, the researchers had to come up with a design that required fewer slits. At the same time, the robot’s folds increase its stiffness along certain axes.

But because the stomach is filled with fluids, the robot doesn’t rely entirely on stick-slip motion. “In our calculation, 20 percent of forward motion is by propelling water — thrust — and 80 percent is by stick-slip motion,” says Miyashita [Shuhei Miyashita, who was a postdoc at CSAIL when the work was done and is now a lecturer in electronics at the University of York, England]. “In this regard, we actively introduced and applied the concept and characteristics of the fin to the body design, which you can see in the relatively flat design.”

It also had to be possible to compress the robot enough that it could fit inside a capsule for swallowing; similarly, when the capsule dissolved, the forces acting on the robot had to be strong enough to cause it to fully unfold. Through a design process that Guitron describes as “mostly trial and error,” the researchers arrived at a rectangular robot with accordion folds perpendicular to its long axis and pinched corners that act as points of traction.

In the center of one of the forward accordion folds is a permanent magnet that responds to changing magnetic fields outside the body, which control the robot’s motion. The forces applied to the robot are principally rotational. A quick rotation will make it spin in place, but a slower rotation will cause it to pivot around one of its fixed feet. In the researchers’ experiments, the robot uses the same magnet to pick up the button battery.

Porcine precedents

The researchers tested about a dozen different possibilities for the structural material before settling on the type of dried pig intestine used in sausage casings. “We spent a lot of time at Asian markets and the Chinatown market looking for materials,” Li [Shuguang Li, a CSAIL postdoc] says. The shrinking layer is a biodegradable shrink wrap called Biolefin.

To design their synthetic stomach, the researchers bought a pig stomach and tested its mechanical properties. Their model is an open cross-section of the stomach and esophagus, molded from a silicone rubber with the same mechanical profile. A mixture of water and lemon juice simulates the acidic fluids in the stomach.

Every year, 3,500 swallowed button batteries are reported in the U.S. alone. Frequently, the batteries are digested normally, but if they come into prolonged contact with the tissue of the esophagus or stomach, they can cause an electric current that produces hydroxide, which burns the tissue. Miyashita employed a clever strategy to convince Rus that the removal of swallowed button batteries and the treatment of consequent wounds was a compelling application of their origami robot.

“Shuhei bought a piece of ham, and he put the battery on the ham,” Rus says. [emphasis mine] “Within half an hour, the battery was fully submerged in the ham. So that made me realize that, yes, this is important. If you have a battery in your body, you really want it out as soon as possible.”

“This concept is both highly creative and highly practical, and it addresses a clinical need in an elegant way,” says Bradley Nelson, a professor of robotics at the Swiss Federal Institute of Technology Zurich. “It is one of the most convincing applications of origami robots that I have seen.”

I wonder if they ate the ham afterwards.

Happily, MIT has produced a video featuring this ingestible, origami robot,

Finally, this team has a couple more members than the previously mentioned Rus, Miyashita, and Li,

…  Kazuhiro Yoshida of Tokyo Institute of Technology, who was visiting MIT on sabbatical when the work was done; and Dana Damian of the University of Sheffield, in England.

As Rus notes in the video, the next step will be in vivo (animal) studies.