Optimization of Simultaneous Measurement for Variational Quantum Eigensolver Applications. - Pranav Gokhale; Olivia Angiuli; Yongshan Ding 001; Kaiwen Gui; Teague Tomesh; Martin Suchara; Margaret Martonosi; Frederic T. Chong (QCE, 2020)

Coreset Clustering on Small Quantum Computers. - Teague Tomesh; Pranav Gokhale; Eric R. Anschütz; Frederic T. Chong (CoRR, 2020)

CutQC: using small Quantum computers for large Quantum circuit evaluations. - Wei Tang; Teague Tomesh; Martin Suchara; Jeffrey Larson 001; Margaret Martonosi (ASPLOS, 2021)

Optimized Quantum Program Execution Ordering to Mitigate Errors in Simulations of Quantum Systems. - Teague Tomesh; Kaiwen Gui; Pranav Gokhale; Yunong Shi; Frederic T. Chong; Margaret Martonosi; Martin Suchara (ICRC, 2021)

Quantum Codesign. - Teague Tomesh; Margaret Martonosi (IEEE Micro, 2021)

SupermarQ: A Scalable Quantum Benchmark Suite. - Teague Tomesh; Pranav Gokhale; Victory Omole; Gokul Subramanian Ravi; Kaitlin N. Smith; Joshua Viszlai; Xin-Chuan Wu; Nikos Hardavellas; Margaret Martonosi; Frederic T. Chong (HPCA, 2022)

Training Quantum Boltzmann Machines with Coresets. - Joshua Viszlai; Teague Tomesh; Pranav Gokhale; Eric Anschütz; Frederic T. Chong (QCE, 2022)

Quantum Local Search with the Quantum Alternating Operator Ansatz. - Teague Tomesh; Zain H. Saleem; Martin Suchara (Quantum, 2022)

HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems. - Samuel Alexander Stein; Sara Sussman; Teague Tomesh; Charles Guinn; Esin Tureci; Sophia Fuhui Lin; Wei Tang; James A. Ang; Srivatsan Chakram; Ang Li 006; Margaret Martonosi; Fred Chong; et al. (MICRO, 2023)

Divide and Conquer for Combinatorial Optimization and Distributed Quantum Computation. - Teague Tomesh; Zain H. Saleem; Michael A. Perlin; Pranav Gokhale; Martin Suchara; Margaret Martonosi (QCE, 2023)

Microarchitectures for Heterogeneous Superconducting Quantum Computers. - Samuel Alexander Stein; Sara Sussman; Teague Tomesh; Charles Guinn; Esin Tureci; Sophia Fuhui Lin; Wei Tang; James A. Ang; Srivatsan Chakram; Ang Li 006; Margaret Martonosi; Frederic T. Chong; et al. (CoRR, 2023)

Co-designing Quantum Computer Architectures and Algorithms to Bridge the Quantum Resource Gap - Teague Tomesh (2023)

Approaches to Constrained Quantum Approximate Optimization. - Zain H. Saleem; Teague Tomesh; Bilal Tariq; Martin Suchara (SN Comput. Sci., 2023)

Faster and More Reliable Quantum SWAPs via Native Gates. - Pranav Gokhale; Teague Tomesh; Martin Suchara; Fred Chong (PACT, 2024)

Quantifying the Limits of Classical Machine Learning Models Using Contextuality. - Eric R. Anschütz; Mariesa Teo; Willers Yang; James Sud; Christopher Kang; Teague Tomesh; Frederic T. Chong (QCE, 2024)

Deep Learning for Low-Latency, Quantum-Ready RF Sensing. - Pranav Gokhale; Caitlin Carnahan; William Clark; Teague Tomesh; Frederic T. Chong (QCE, 2024)

Arbitrary State Preparation via Quantum Walks. - Alvin Gonzales; Rebekah Herrman; Colin Campbell; Igor Gaidai; Ji Liu 007; Teague Tomesh; Zain H. Saleem (QCE, 2024)

Scaling Up the Quantum Divide and Conquer Algorithm for Combinatorial Optimization. - Cameron Ibrahim; Teague Tomesh; Zain H. Saleem; Ilya Safro (QCE, 2024)

Quantum-classical tradeoffs and multi-controlled quantum gate decompositions in variational algorithms. - Teague Tomesh; Nicholas Allen; Daniel Dilley; Zain H. Saleem (Quantum, 2024)