I am currently a Quantum Software Engineer at Infleqtion where I lead the applications team -- developing and evaluating new quantum-classical algorithms applied to various use cases. 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 ice hockey, going on fishing trips to lakes around the Midwest and Northeast area, and pursuing an interest in amateur astronomy.
Eleanor Crane, Kevin C Smith, Teague Tomesh, Alec Eickbusch, John M Martyn, Stefan Kühn, Lena Funcke, Michael Austin DeMarco, Isaac L Chuang, Nathan Wiebe, Alexander Schuckert, Steven M Girvin. Hybrid Oscillator-Qubit Quantum Processors: Simulating Fermions, Bosons, and Gauge Fields. 2024
[arXiv]
Akel Hashim, Long B Nguyen, Noah Goss, Brian Marinelli, Ravi K Naik, Trevor Chistolini, Jordan Hines, JP Marceaux, Yosep Kim, Pranav Gokhale, Teague Tomesh, Senrui Chen, Liang Jiang, Samuele Ferracin, Kenneth Rudinger, Timothy Proctor, Kevin C Young, Robin Blume-Kohout, Irfan Siddiqi. A Practical Introduction to Benchmarking and Characterization of Quantum Computers. 2024
[arXiv]
Teague Tomesh, Colin Campbell, Sid Ramesh, Alexander Pearson, Samantha Riesenfeld and Fred Chong. Co-Design of Hybrid Quantum-Classical Applications in Multimodal Cancer Research. ACM SIGARCH: Computer Architecture Today. Jun 28, 2024
Alvin Gonzales, Rebekah Herrman, Colin Campbell, Igor Gaidai, Ji Liu, Teague Tomesh, Zain H. Saleem. Arbitrary State Preparation via Quantum Walks. 2024
[arXiv]
Siddhi Ramesh, Teague Tomesh, Samantha J. Riesenfeld, Frederic T. Chong, Alexander T. Pearson. Quantum computing for oncology. Nat Cancer 5, 811–816 (2024). https://doi.org/10.1038/s43018-024-00770-9
Ibrahim Cameron, Teague Tomesh, Zain Saleem, Ilya Safro. Scaling Up the Quantum Divide and Conquer Algorithm for Combinatorial Optimization. 2024
[arXiv]
James Ang, Gabriella Carini, Yanzhu Chen, Isaac Chuang, Michael Demarco, Sophia Economou, Alec Eickbusch, Andrei Faraon, Kai-Mei Fu, Steven Girvin, Michael Hatridge, Andrew Houck, Paul Hilaire, Kevin Krsulich, Ang Li, Chenxu Liu, Yuan Liu, Margaret Martonosi, David McKay, Jim Misewich, Mark Ritter, Robert Schoelkopf, Samuel Stein, Sara Sussman, Hong Tang, Wei Tang, Teague Tomesh, Norm Tubman, Chen Wang, Nathan Wiebe, Yongxin Yao, Dillon Yost, and Yiyu Zhou. 2024. ARQUIN: Architectures for Multinode Superconducting Quantum Computers. ACM Transactions on Quantum Computing 5, 3, Article 19 (September 2024), 59 pages. https://doi.org/10.1145/3674151
[arXiv]
Samuel Stein, Sara Sussman, Teague Tomesh, Charles Guinn, Esin Tureci, Sophia Fuhui Lin, Wei Tang, James Ang, Srivatsan Chakram, Ang Li, Margaret Martonosi, Fred Chong, Andrew A. Houck, Isaac L. Chuang, Michael DeMarco. HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems. Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchictecture (MICRO-56). Oct 2023, doi: 10.1145/3613424.3614300.
[arXiv]
Zain H. Saleem, Teague Tomesh, Michael A. Perlin, Pranav Gokhale, Martin Suchara, Margaret Martonosi. Divide and Conquer for Combinatorial Optimization and Distributed Quantum Computing. IEEE International Conference on Quantum Computing and Engineering (QCE23). Sept 2023. Bellevue, Washington.
Teague Tomesh. Co-designing Quantum Computer Architectures and Algorithms to Bridge the Quantum Resource Gap. PhD Dissertation. Jan 2023.
Zain H. Saleem, Teague Tomesh, Bilal Tariq, Martin Suchara. Approaches to Constrained Quantum Approximate Optimization. SN Computer Science. Jan 2023.
[arXiv]
Pranav Gokhale, Eric Anschuetz, Colin Campbell, Fred Chong, Denny Dahl, Paige Frederick, Eric Jones, Salahadeen Issa, Palash Goiporia, Stephanie Lee, Peter Noell, Victory Omole, David Owusu-Antwi, Michael Perlin, Rich Rines, Mark Saffman, Kaitlin Smith, Teague Tomesh. SupercheQ: Quantum Advantage for Distributed Databases. arXiv-preprint. Dec 2022.
Teague Tomesh, Nicholas Allen, Daniel Dilley, Zain Saleem. Quantum-classical tradeoffs and multi-controlled quantum gate decompositions in variational algorithms. arXiv-preprint. Oct 2022.
Joshua Viszlai, Teague Tomesh, Pranav Gokhale, Eric Anschuetz, Fred Chong. Training Quantum Boltzmann Machines with Coresets. IEEE International Conference on Quantum Computing and Engineering (QCE22). Sept 2022. Broomfield, Colorado. doi: 10.1109/QCE53715.2022.00049.
[arXiv]
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]
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.
Panel 02 -- Munich, Chicago, Riken, Delft: Software Stacks in Big Quantum Computing Initiatives. IEEE International Conference on Quantum Computing and Engineering (QCE23). Sep 18, 2023.
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
Tutorial at International Symposium on Computer Architecture (ISCA), June 19, 2022, New York City
Tutorial at HPCA 29. Feb 27, 2023
Workshop on Performance Analysis of Quantum Computer Systems (PAQS) at IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS). April 23, 2023
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
May 12, 2022 International Symposium on Roadmapping Devices and Systems (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]
QCE24 Program Committee member.
ASPLOS-2025 Program Committee member reviewing multiple submissions for the spring, summer, and fall rounds.
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 2023 Quantum Information Science (QIS) Career Fair hosted by the C2QA, Sept 14, 2022
Peer-review for ACM Transactions on Quantum Computing, Physical Review A, Quantum, Nature Scientific Reports, see Publons for an (incomplete) list of reviews