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Press release: University of Michigan team partners with Semiwise to tackle cryogenic control electronics technology

Glasgow, May 1, 2024

Prof. Dennis Sylvester and PhD student Qirui Zhang are working with UK-based company Semiwise Ltd. to design cryogenic circuitry and improve the efficiency of quantum computing.

 

AI-generated representation of cryogenic computer circuitry (DALL-E)

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Qirui Zhang working in the lab. Photo: Jero Lopera

Researchers at the University of Michigan are leading a collaborative initiative with Semiwise, a Glasgow, UK-based company, to develop low-power and cryogenic control electronics, with the ultimate goal of scaling quantum computing for more practical applications.

 

“We’d like to bring our expertise in low-power classical computing to a new and exciting domain, namely to efficiently provide control, error correction, and other key functions for emerging quantum computers,” said Dennis Sylvester, Edward S. Davidson Collegiate Professor of Electrical and Computer Engineering (ECE).

 

Quantum computing has the potential to exponentially increase scientists’ ability to model complex simulations, which could revolutionize a myriad of industries including drug development, financial risk profiling, supply chain optimization, and more. However, these promises of quantum computing require significant improvements in the efficiency and reliability of existing technology.

 

Qubits, the essential units for quantum computing, are typically kept at temperatures near absolute zero, generally around 4 K (-269.15 °C; -452.47 °F). Conversely, the control electronics for the computer operate at room temperature, requiring the cryogenic qubits to be kept at a distance and wired out to the other components of the computer. This arrangement drastically decreases efficiency, increases energy consumption, restricts computing power, and limits the practical uses of quantum computers.

Sylvester and ECE PhD student Qirui Zhang aim to design control electronics that can be used at the frigid temperatures qubits require. However, redesigning the silicon chips and simulating their performance in cryogenic conditions requires substantial time, effort, and funds––prior to building the control electronics. The team aims to fast-track the development of cryogenic control electronics by partnering with Semiwise.

 

Semiwise, a startup spinoff from The University of Glasgow by Prof. Asen Asenov, has developed a set of Process Design Kit (PDK) strength of SPICE (i.e., simulation program with integrated circuit emphasis) models suitable for cryogenic circuit design.  The models, based on GLOBALFOUNDRIES 22FDX  PDK, are derived using a patentedmethodolgy [1], combining cryogenic transistor measurements with Technology Computer Aided Design (TCAD) simulations. The PDK includes corners and statistics and is consistent with the post-layout verification requirements.

 

“Taking standard CMOS down to 4K or -270°C is a major step into new territory where the operating characteristics of the transistors change markedly,” said Asenov, “The cryogenic chip design will not only unleash the true power of quantum computers could also increase significantly the energy efficiency of the data centers in the transition to a net zero economy.”

 

This new partnership between the University of Michigan and Semiwise makes them a contender in the race to improve the practicality of quantum computing for generalized use.

 

“Everything’s new and unknown,” said Zhang. “We are building up the methodology for how to use the superconducting qubits. Our first priority is quality and robustness to maximize the fidelity of controlling that qubit and minimize any potential corruption to the qubit state.”

 

Next steps for the team include using the SPICE models to build cryogenic control systems from the ground up. Zhang will be continuing this work as a postdoctoral researcher in Sylvester’s research group.

[1] L. Wang, B. Cheng, P. Asenov, A. Pender, D. Reid, F. Adamu-Lema, C. Millar, A. Asenov, "TCAD proven compact modelling re-centering technology for early 0.x PDKs," 2016 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), pp. 157-160, September 2016. DOI: 10.1109/SISPAD.2016.7605171

About University of Michign: The University of Michigan (U-M, UMich, or simply Michigan) is a public research university in Ann Arbor, Michigan. Founded in 1817, it is the oldest institution of higher education in the state. The University of Michigan is one of the earliest American research universities and is a founding member of the Association of American Universities. In the fall of 2023, the university enrolled over 52,000 students. The university is classified among "R1: Doctoral Universities – Very High Research Activity". It consists of nineteen colleges and offers 250 degree programs at the undergraduate and graduate level across various liberal arts and STEM disciplines. The university is accredited by the Higher Learning Commission. In 2021, it ranked third among American universities in research expenditures according to the National Science Foundation.

 

Contact: Mena Davidson: mkdavid@umich.edu

 

About Semiwise: SemiWise (https://www.semiconductorwise.com/) develops innovative low-power CMOS transistor-level IP that improves performance and variability, and drastically reduces power consumption. SemiWise also offers simulation services and consulting to the semiconductor industry including fables, IEDM and foundry players. The CEO of Semiwise, Professor Asenov was the founder of Gold Standard Simulations (GSS), a 2010 startup from the University of Glasgow which developed the first TCAD based Design-Technology Co Optimisation (DTCO) tool chain. After the acquisition of GSS by Synopsys in 2016 the TCAD-to-Spice technology originally developed by GSS is now part of the Synopsys TCAD offering in the so called TCAD-to-Spice flow and continues to be developed by the Synopsys R&D division in Glasgow: https://www.synopsys.com/manufacturing/tcad.html

Contacts: asen.asenov@glasgow.ac.uk , +44 07523 293 782

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