Tag Archives: Charles Q. Choi

Democratizing particle accelerators with (1) the first commercially available room-size version and (2) a desktop version

What is going on with article accelerators these days? I have two stories, one from the US about a room-size accelerator that is commercially available and a story from Japan about work on a desktop-sized particle accelerator for a future iteration.

Starting with the room-sized particle accelerators

Charles Q. Choi’s December 4, 2025 article for IEEE (Institute for Electrical and Electronics Engineers) Spectrum profiles the work on a more compact particle accelerator, Note: Links have been removed,

Particle accelerators are usually huge structures—think of the 3.2-kilometerlong SLAC National Accelerator Laboratory in Stanford, Calif. But scientists have been hard at work trying to shrink these accelerators down by using lasers to perform the accelerating. These particle accelerators would be the size of single room, and cost much less as well. Now, a startup says its laser-powered accelerator, the first commercial version of such a device, has successfully accelerated a beam of electrons. These could first be used in radiation tests of electronics designed for satellites and spacecraft.

The concept behind the new device was first detailed in 1979. An extremely powerful and ultrashort laser pulse strikes a gas, producing a plasma. The plasma oscillates in the laser’s wake, and electrons are dragged along in the plasma’s path, accelerating them to relativistic speeds.

These “wakefield accelerators“ can generate acceleration fields up to 1,000 times as great as what conventional particle colliders are capable of. Scientists have long suggested that wakefield accelerators could shrink kilometer-scale facilities to the size of a room or smaller.

“Democratization is the name of the game for us,” says Björn Manuel Hegelich, founder and CEO of TAU Systems in Austin, Texas. “We want to get these incredible tools into the hands of the best and brightest and let them do their magic.”

TAU has now successfully generated electron beams using its commercial laser-powered wakefield accelerator. “Laser-powered accelerators have been around in academic labs for more than 20 years,” Hegelich says. “What’s most exciting is that until now, they haven’t been available as tools for industry. This result is a major step to change that paradigm and make compact accelerators useful for the world outside of academia.”

The new accelerator uses a laser supplied by the Thales Group in France, which TAU notes displays exceptional stability. “The goal here is to focus on reliability and reproducibility rather than record performance,” Hegelich says.

TAU’s first commercial accelerator will be deployed at the startup’s facility in Carlsbad, Calif., which will operate as a showroom for customers to become familiar with the technology. TAU plans to offer use of its accelerator to commercial and government customers starting in 2026.

“This first commercial system will operate in the range of 60 to 100 million electron volts (MeVs) at 100 hertz with capacity to upgrade to higher energies in the future,” Hegelich says. “We’re not rushing to the highest energies yet because there’s a lot of low-hanging fruit in the 100 to 1,000 MeV range, where conventional accelerators are too large to be of practical use.” For comparison, the linear accelerator at SLAC can achieve electron energies up to 50 billion electron volts.

How to Use a Room-Size Particle Accelerator

You can find out more about TAU Systems here.

Going onto the desktop

Saúl Morales Rodriguéz’s April 2, 2026 posting on the lifeboat.com blog describes work from a Japanese research team into shrinking particle accelerators even further, Note: A link has been removed,

Using high-intensity lasers, researchers have taken an important step toward miniaturization of particle accelerators by demonstrating free-electron laser amplification at extreme ultraviolet wavelengths (27–50 nm), with an acceleration length of only a few millimeters. By generating high-quality, monoenergetic electron beams (i.e. beams where all the electrons have nearly the same energy), they have achieved a key milestone toward compact accelerator technologies.

The work is published in the journal Physical Review Research.

A February 24, 2026 University of Osaka press release (which appears to have originated the posting) provides detail about the research,

Researchers at The University of Osaka have hit a vital milestone toward creating tabletop x-ray lasers, with the goal of building ultracompact high-energy electron accelerators.

Summary
Free-electron lasers can be tuned to operate over a wide range of wavelengths, but they conventionally require large-scale facilities. Researchers from The University of Osaka show that laser wakefield acceleration can dramatically miniaturize this technology by improving plasma stability and electron beam quality. Their study demonstrates such lasers in the extreme ultraviolet, with the ultimate goal of further refining the technology to operate at x-ray wavelengths.

Osaka, Japan – Using high-intensity lasers, researchers have taken an important step towards miniaturization of particle accelerators by demonstrating free-electron laser amplification at extreme ultraviolet wavelengths (27–50 nm), with an acceleration length of only a few millimeters. By generating high-quality, monoenergetic electron beams (i.e. beams where all the electrons have nearly the same energy), they have achieved a key milestone toward compact accelerator technologies.

The research team led by The University of Osaka’s Institute of Scientific and Industrial Research (SANKEN) in collaboration with Kansai Institute for Photon Science (KPSI), National Institutes for Quantum Science and Technology (QST), RIKEN SPring-8 Center (RSC), High Energy Accelerator Research Organization (KEK), used a technique called laser wakefield acceleration to create plasma waves that generate extremely strong accelerating electric fields, thanks to waves within the plasma that travel at almost the speed of light. These potent electric fields are more than 1000 times as strong as conventional accelerators.

Our work has made several substantial improvements over previous techniques, allowing us to achieve free-electron laser amplification at extreme ultraviolet wavelengths,” says lead author Zhan Jin. “We have used laser pulse shaping to improve focusing accuracy. When combined with our specially developed supersonic gas nozzles, we can create more stable wavefronts, enabling precise control of the plasma source.”

Using free-electron laser amplification in this way is essential for reducing the distance required to accelerate electrons. Conventional systems can require hundreds of meters, but the powerful fields generated by laser wakefield acceleration can potentially reduce this to just millimeters. These results show that laser wakefield acceleration is approaching the performance required of practical, high-quality electron accelerators. Demonstrating this at extreme ultraviolet wavelengths is an important milestone, but the research team intends to push this even further.

“Laser wakefield acceleration has long been considered impractical, because of the difficulty in stabilizing the plasma it relies on,” explains senior author Tomonao Hosokai. “We have greatly enhanced the stability and quality of our electron beams, which will allow us to dramatically miniaturize future accelerators, opening the possibility to create compact x-ray free-electron lasers.” This work shows that laser wakefield acceleration can perform on par with practical high-quality high-energy electron accelerators.

Demonstrating free-electron laser operation in the extreme ultraviolet range is a crucial first step toward extending the technology to shorter wavelengths, ultimately enabling compact x-ray free-electron lasers. These exceptionally powerful light sources generate coherent x-rays 10 billion times brighter than the sun and produce ultrashort femtosecond pulses. Their use is currently restricted to large facilities, but miniaturization of these lasers would allow their use in conventional laboratories. Currently, laser wakefield acceleration is one of the most promising ways to accomplish this. The work accomplished by the research team to stabilize the plasma these accelerators rely on is an essential step toward this goal.

Desktop-sized instruments are essential in day-to-day research, and developing compact accelerators and x-ray free-electron lasers will enable advances across fields such as life sciences, materials science, semiconductor development, and quantum science. Constructing desktop-sized accelerators would allow small labs to perform research that currently requires large-scale accelerator facilities.

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

Optimized Laser Wakefield Acceleration: Generating Stable, High-Energy, Monoenergetic Electron Beams and Demonstrating Extreme-Ultraviolet Free Electron Lasers by Zhan Jin, Masaki Kando, Yan-Jun Gu, Kai Huang, Nobuhiko Nakanii, Izuru Daito, Zhenzhe Lei, Shingo Sato, Hiroaki Sano, Toshiya Muto, Shigeru Yamamoto, and Tomonao Hosokai. (Physical Review Research) Phys. Rev. Research 8, 013207 DOI: https://doi.org/10.1103/qvg7-ng8n Published 24 February, 2026

This paper is open access.

NorthPole: a brain-inspired chip design for saving energy

One of the main attractions of brain-inspired computing is that it requires less energy than is used in conventional computing. The latest entry into the brain-inspired computing stakes was announced in an October 19, 2023 American Association for the Advancement of Science (AAAS) news release on EurekAlert,

Researchers present NorthPole – a brain-inspired chip architecture that blends computation with memory to process data efficiently at low-energy costs. Since its inception, computing has been processor-centric, with memory separated from compute. However, shuttling large amounts of data between memory and compute comes at a high price in terms of both energy consumption and processing bandwidth and speed. This is particularly evident in the case of emerging and advanced real-time artificial intelligence (AI) applications like facial recognition, object detection, and behavior monitoring, which require fast access to vast amounts of data. As a result, most contemporary computer architectures are rapidly reaching physical and processing bottlenecks and risk becoming economically, technically, and environmentally unsustainable, given the growing energy costs involved. Inspired by the neural architecture of the organic brain, Dharmendra Modha and colleagues developed NorthPole – a neural inference architecture that intertwines compute with memory on a single chip. According to the authors, NorthPole “reimagines the interaction between compute and memory” by blending brain-inspired computing and semiconductor technology. It achieves higher performance, energy-efficiency, and area-efficiency compared to other comparable architectures, including those that use more advanced technology processes. And, because NorthPole is a digital system, it is not subject to the device noise and systemic biases and drifts that afflict analog systems. Modha et al. demonstrate NorthPole’s capabilities by testing it on the ResNet50 benchmark image classification network, where it achieved 25 times higher energy metric of frames per second (FPS) per watt, a 5 times higher space metric of FPS per transistor, and a 22 times lower time metric of latency relative to comparable technology. In a related Perspective, Subramanian Iyer and Vwani Roychowdhury discuss NorthPole’s advancements and limitations in greater detail.

By the way, the NorthPole chip is a result of IBM research as noted in Charles Q. Choi’s October 23, 2023 article for IEEE Spectrum magazine (IEEE is the Institute of Electrical and Electronics Engineers), Note: Links have been removed,

A brain-inspired chip from IBM, dubbed NorthPole, is more than 20 times as fast as—and roughly 25 times as energy efficient as—any microchip currently on the market when it comes to artificial intelligence tasks. According to a study from IBM, applications for the new silicon chip may include autonomous vehicles and robotics.

Brain-inspired computer hardware aims to mimic a human brain’s exceptional ability to rapidly perform computations in an extraordinarily energy-efficient manner. These machines are often used to implement neural networks, which similarly imitate the way a brain learns and operates.

“The brain is vastly more energy-efficient than modern computers, in part because it stores memory with compute in every neuron,” says study lead author Dharmendra Modha, IBM’s chief scientist for brain-inspired computing.

“NorthPole merges the boundaries between brain-inspired computing and silicon-optimized computing, between compute and memory, between hardware and software,” Modha says.

The scientists note that IBM fabricated NorthPole with a 12-nm node process. The current state of the art for CPUs is 3 nm, and IBM has spent years researching 2-nm nodes. This suggests further gains with this brain-inspired strategy may prove readily available, the company says.

The NorthPole chip is preceded by another IBM brain-inspired chip, TrueNorth. (Use the term “TrueNorth” in the blog search engine, if you want to see more about that and other brain-inspired chips.)

Choi’s October 23, 2023 article features technical information but a surprising amount is accessible to an interested reader who’s not an engineer.

There’s a video, which seems to have been produced by IBM,

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

Neural inference at the frontier of energy, space, and time by Dharmendra S. Modha, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, John V. Arthur, Andrew S. Cassidy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume J. Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F. Smith, Ignacio Terrizzano, and Takanori Ueda. Science 19 Oct 2023 Vol 382, Issue 6668 pp. 329-335 DOI: 10.1126/science.adh1174

This paper is behind a paywall.