Biography
I am currently a Quantum Software Engineer at Infleqtion. In January of 2023 I completed my PhD in Computer Science at Princeton University advised by Professor Margaret Martonosi. I am currently working to improve the performance of Quantum Computer Architectures. My research aims to close the gap between high-level quantum algorithms (e.g. Shor’s and Grover’s algorithms) and the low-level physical implementation of the quantum computer (e.g. trapped ion, superconducting, or quantum dot qubits). Some of my recent work has been focused on improving quantum circuit compilation techniques, reducing the resource requirements of quantum chemistry algorithms such as VQE and digital quantum simulation, and designing benchmark suites for quantum computers.
I was an undergrad at the University of Wisconsin-Madison where I received my Bachelor’s degree in both Physics and Astronomy. At UW-Madison, I worked with Professor Ellen Zweibel and my graduate student mentor, Chad Bustard, to better understand galactic winds and the feedback processes they create. My research was focused on the development of computer simulations to model real-world observations of these cosmic events.
Outside of research, I enjoy playing on the Princeton Club Hockey team and going on fishing trips to lakes around the Northeast area.
Publications
Teague Tomesh, Zain H. Saleem, Martin Suchara. Quantum Local Search with the Quantum Alternating Operator Ansatz. Quantum 6 (2021): 781, doi: 10.22331/q-2022-08-22-781.
Teague Tomesh, Pranav Gokhale, Victory Omole, Gokul Subramanian Ravi, Kaitlin N. Smith, Joshua Viszlai, Xin-Chuan Wu, Nikos Hardavellas, Margaret R. Martonosi, Frederic T. Chong. SupermarQ: A Scalable Quantum Benchmark Suite. The 28th IEEE International Symposium on High-Performance Computer Architecture (HPCA-28) 2022.
Teague Tomesh, Kaiwen Gui, Pranav Gokhale, Yunong Shi, Frederic T. Chong, Margaret Martonosi, Martin Suchara, Optimized Quantum Program Execution Ordering to Mitigate Errors in Simulations of Quantum Systems, 2021 International Conference on Rebooting Computing (ICRC), 2021, pp. 1-13, doi: 10.1109/ICRC53822.2021.00013.
IEEE International Conference on Rebooting Computing (ICRC) 2021 Best Paper Award, [Argonne Laboratory press release]
[arXiv]
[Github]
Pranav Gokhale, Teague Tomesh, Martin Suchara, Frederic T. Chong. Faster and More Reliable Quantum SWAPs via Native Gates. arxiv-preprint. Sept 2021.
Teague Tomesh and Margaret Martonosi. Quantum Codesign, in IEEE Micro, vol. 41, no. 05, pp.33-40, 2021. doi: 10.1109/MM.2021.3094461.
Teague Tomesh, Pranav Gokhale, Eric R. Anschuetz, and Frederic T. Chong. Coreset Clustering on Small Quantum Computers. Electronics 2021, 10, 1690. doi: 10.3390/electronics10141690.
[Github]
Zain H. Saleem, Teague Tomesh, Michael A. Perlin, Pranav Gokhale, Martin Suchara. Quantum Divide and Conquer for Combinatorial Optimization and Distributed Computing. arxiv-preprint. July 2021.
Zain H. Saleem, Teague Tomesh, Bilal Tariq, Martin Suchara. Approaches to Constrained Quantum Approximate Optimization. arxiv-preprint. July 2021.
Wei Tang, Teague Tomesh, Martin Suchara, Jeffrey Larson, and Margaret Martonosi. 2021. CutQC: Using Small Quantum Computers for Large Quantum Circuit Evaluations. In Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2021). Association for Computing Machinery, New York, NY, USA, 473–486. DOI:https://doi.org/10.1145/3445814.3446758
[arXiv]
Pranav Gokhale, Olivia Angiuli, Yongshan Ding, Kaiwen Gui, Teague Tomesh, Martin Suchara, Margaret Martonosi, Frederic T. Chong: O(N^3) Measurement Cost for Variational Quantum Eigensolver on Molecular Hamiltonians. IEEE Transactions on Quantum Engineering, November 2020.
1st place IBM Q Best Paper Award. [IBM Research Blog], [HPCwire]
IEEE International Conference on Quantum Computing and Engineering (QCE) 2020 Best Paper Award. [QCE20 Technical Paper Track]
[arXiv]
Kaiwen Gui, Teague Tomesh, Pranav Gokhale, Yunong Shi, Frederic T. Chong, Margaret Martonosi, Martin Suchara. Term Grouping and Travelling Salesperson for Digital Quantum Simulation. APS March Meeting. Jan 2020.
Projects
Speaking
SupermarQ: A Scalable Quantum Benchmark Suite. Session 4C: Best Paper Candidates. IEEE International Symposium on High-Performance Computer Architecture (HPCA) 2022. [Full Talk], [Lightning talk] - Best Paper Award
HPCA
Tutorial
Optimized Quantum Program Execution Ordering to Mitigate Errors in Simulations of Quantum Systems. IEEE International Conference on Rebooting Computing (ICRC) 2021. [Full Talk] - Best Paper Award
IEEE
IRDS
Coreset Clustering on Small Quantum Computers. Workshop on Applied Quantum Artificial Intelligence (AQAI). IEEE International Conference on Quantum Computing and Engineering (QCE) 2020. [YouTube]
Parallelizing Simulations of Large Quantum Circuits. The International Conference for High Performance Computing, Networking, Storage and Analysis (SC)'19. Denver, Colorado. Nov 17-22, 2019. [Poster]
Mock X-Ray Observations of Localized LMC Outflows. American Astronomical Society, AAS Meeting #231, id. 251.08. Washington D.C. Jan 10, 2018. [Poster], [ADS]
Modeling X-Ray Emission of Galactic Winds. American Astronomical Society, AAS Meeting #230, id.316.01. Austin, Texas. Jun 7, 2017. [Poster], [ADS]
Service
Introduced undergraduates to concepts from quantum computing at the international NYUAD Hackathon, Abu Dhabi, UAE 2022 and 2023
Research mentor for Princeton undergraduate students: Nick Allen, Arya Maheshwari, Gabriel Contreras
Moderator of the
Peer-review for ACM Transactions on Quantum Computing, Physical Review A, see Publons for an (incomplete) list of reviews
Get in touch: {last name}{first name}(at)gmail(dot)com