UT Dallas Partnership Takes Quantum Device Manufacturing to Scale

December 13, 2021

Dec. 13, 2021 — University of Texas at Dallas researchers and a North Texas company are working to commercialize technology developed at the University that makes it possible for the first time to manufacture tiny quantum devices on a large scale.

Dr. Reza Moheimani and his team designed and fabricated a microelectromechanical systems device, which is mounted on a scanning tunneling microscope tip holder.

The Department of Energy (DOE) granted two Small Business Technology Transfer awards to Dr. Reza Moheimani, the James Von Ehr Distinguished Chair in Science and Technology and professor of systems engineering in the Erik Jonsson School of Engineering and Computer Science, and to Zyvex Labs of Richardson, Texas. The grants provide $1.1 million over two years to Moheimani to support his research, as well as $1.1 million to Zyvex Labs.

Solid-state quantum computers have the potential to solve complex problems beyond the capability of conventional computers; however, the technology to manufacture sub-nanometer scale devices on a large scale has not been available.

“Manufacturing quantum devices is going to require the level of atomic precision that we can now provide through our new technology,” said Dr. John Randall, president and CEO of Zyvex Labs and former member and co-chair of the Jonsson School’s Industry Advisory Council. “This pathway is made possible by the wonderful work that Dr. Moheimani and his very talented postdocs and graduate students are doing.”

Dr. Reza Moheimani (left) and mechanical engineering doctoral candidate Afshin Alipour discuss their research that aims to manufacture quantum devices on a large scale using a scanning tunneling microscope.

The project to commercialize the technology is one of several recent developments in the University’s efforts to advance solid-state quantum device manufacturing. UT Dallas launched the Center for Atomically Precise Fabrication of Solid-State Quantum Devices in 2019 to use technology developed at the University to build new quantum devices. UT Dallas provided a $700,000 grant to the center over four years through an Office of Research and Innovation seed grant.

Moving Technology to Next Step

Moheimani’s research, which has been supported by previous DOE grants, focuses on developing technology for atomically precise manufacturing, the process of building new materials and devices atom by atom.

Making a qubit, the basic unit of quantum information, involves performing atomic precision lithography to remove single hydrogen atoms selectively from a hydrogen passivated silicon surface. Moheimani and his team of researchers have worked to solve problems that limit the accuracy of the tool used to manipulate the atoms — a scanning tunneling microscope, or STM.

A microelectromechanical systems assembly is mounted on a piezotube scanner inside a Scienta Omicron ultra-high vacuum chamber. The team has successfully demonstrated imaging and atomic precision lithography with this device.

In 2017 the researchers discovered a way to prevent the tip of the microscope from crashing into a sample of material, thus solving a common problem with the instrument. Last year they developed a technique that provides greater control and precision during the fabrication process. In October, Moheimani and Hamed Alemansour, a mechanical engineering doctoral candidate, were issued a patent for their approach.

More recently, they have focused on developing technology to allow the STM to work with many tips operating simultaneously to enable atomic precision manufacturing on a large scale. The approach involves replacing the large, slow actuator that controls the tip with faster, more precise microelectromechanical systems (MEMS) devices that can be arranged to operate independently and in parallel. Moheimani, Afshin Alipour, a mechanical engineering doctoral candidate, Randall and other researchers from Zyvex Labs demonstrated the feasibility of using MEMS technology for scanning tunneling microscopy in a paper published in June in the Journal of Vacuum Science & Technology B.

Creating New Tools, Systems

Moheimani’s lab recently acquired a Scienta Omicron variable temperature STM to facilitate its collaborative research with Zyvex Labs.

Moheimani, whose endowed chair was established by Zyvex Labs founder James Von Ehr MS’81, has led the efforts in partnership with Zyvex Labs since he was recruited to UT Dallas in 2015.

“What makes it really exciting for me is the nature of the research we are doing,” Moheimani said. “We are creating systems, devices and tools that nobody has created before. They enable us to solve problems that have been longstanding. Others haven’t tried to tackle them because they’re too hard. They require years and years of commitment and resources, and you have to throw everything at them to come up with a solution.”

Dr. Reza Moheimani (center) and his team, including electrical engineering doctoral candidate Richa Mishra (left), research associate Dr. Azadeh Farzaneh (second from left), and mechanical engineering doctoral candidates Afshin Alipour and Hamed Alemansour (right).

The researcher said the partnership with Zyvex Labs is an example of how universities and industry can work together to solve challenging problems.

“What we are doing is what universities are meant to be doing,” Moheimani said. “You’re not supposed to be working in a vacuum; you’re meant to be interacting with industry, and what we’re doing complements each other’s abilities and skills.”


Source: Kim Horner, University of Texas at Dallas

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire