Optimized surface code communication in superconducting quantum computers. - Ali JavadiAbhari; Pranav Gokhale; Adam Holmes; Diana Franklin; Kenneth R. Brown; Margaret Martonosi; Frederic T. Chong (MICRO, 2017)

Optimized Compilation of Aggregated Instructions for Realistic Quantum Computers. - Yunong Shi; Nelson Leung 002; Pranav Gokhale; Zane M. Rossi; David I. Schuster; Henry Hoffmann; Frederic T. Chong (ASPLOS, 2019)

Asymptotic improvements to quantum circuits via qutrits. - Pranav Gokhale; Jonathan M. Baker; Casey Duckering; Natalie C. Brown; Kenneth R. Brown; Frederic T. Chong (ISCA, 2019)

Partial Compilation of Variational Algorithms for Noisy Intermediate-Scale Quantum Machines. - Pranav Gokhale; Yongshan Ding 001; Thomas Propson; Christopher Winkler; Nelson Leung 002; Yunong Shi; David I. Schuster; Henry Hoffmann; Frederic T. Chong (MICRO, 2019)

Systematic Crosstalk Mitigation for Superconducting Qubits via Frequency-Aware Compilation. - Yongshan Ding 001; Pranav Gokhale; Sophia Fuhui Lin; Richard Rines; Thomas Propson; Frederic T. Chong (MICRO, 2020)

Optimized Quantum Compilation for Near-Term Algorithms with OpenPulse. - Pranav Gokhale; Ali Javadi-Abhari; Nathan Earnest; Yunong Shi; Frederic T. Chong (MICRO, 2020)

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)

Extending the Frontier of Quantum Computers With Qutrits. - Pranav Gokhale; Jonathan M. Baker; Casey Duckering; Frederic T. Chong; Natalie C. Brown; Kenneth R. Brown (IEEE Micro, 2020)

Resource-Efficient Quantum Computing by Breaking Abstractions. - Yunong Shi; Pranav Gokhale; Prakash Murali; Jonathan M. Baker; Casey Duckering; Yongshan Ding 001; Natalie C. Brown; Christopher Chamberland; Ali Javadi-Abhari; Andrew W. Cross; David I. Schuster; Kenneth R. Brown; et al. (Proc. IEEE, 2020)

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 Computing in the Cloud: Analyzing job and machine characteristics. - Gokul Subramanian Ravi; Kaitlin N. Smith; Pranav Gokhale; Frederic T. Chong (IISWC, 2021)

Quantum Fan-out: Circuit Optimizations and Technology Modeling. - Pranav Gokhale; Samantha Koretsky; Shilin Huang; Swarnadeep Majumder; Andrew Drucker; Kenneth R. Brown; Frederic T. Chong (QCE, 2021)

Adapting Quantum Approximation Optimization Algorithm (QAOA) for Unit Commitment. - Samantha Koretsky; Pranav Gokhale; Jonathan M. Baker; Joshua Viszlai; Honghao Zheng; Niroj Gurung; Ryan Burg; Esa Aleksi Paaso; Amin Khodaei; Rozhin Eskandarpour; Frederic T. Chong (QCE, 2021)

Adaptive Circuit Learning for Quantum Metrology. - Ziqi Ma; Pranav Gokhale; Tian-Xing Zheng; Sisi Zhou; Xiaofei Yu; Liang Jiang; Peter Maurer; Frederic T. Chong (QCE, 2021)

VAQEM: A Variational Approach to Quantum Error Mitigation. - Gokul Subramanian Ravi; Kaitlin N. Smith; Pranav Gokhale; Andrea Mari; Nathan Earnest; Ali Javadi-Abhari; Frederic T. Chong (HPCA, 2022)

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)

CAFQA: Clifford Ansatz For Quantum Accuracy. - Gokul Subramanian Ravi; Pranav Gokhale; Yi Ding 006; William M. Kirby; Kaitlin N. Smith; Jonathan M. Baker; Peter J. Love; Henry Hoffmann; Kenneth R. Brown; Frederic T. Chong (CoRR, 2022)

CAFQA: A Classical Simulation Bootstrap for Variational Quantum Algorithms. - Gokul Subramanian Ravi; Pranav Gokhale; Yi Ding 006; William M. Kirby; Kaitlin N. Smith; Jonathan M. Baker; Peter J. Love; Henry Hoffmann; Kenneth R. Brown; Frederic T. Chong (ASPLOS (1), 2023)

Clifford-based Circuit Cutting for Quantum Simulation. - Kaitlin N. Smith; Michael A. Perlin; Pranav Gokhale; Paige Frederick; David Owusu-Antwi; Richard Rines; Victory Omole; Frederic T. Chong (ISCA, 2023)

QContext: Context-Aware Decomposition for Quantum Gates. - Ji Liu 007; Max Bowman; Pranav Gokhale; Siddharth Dangwal; Jeffrey Larson 001; Frederic T. Chong; Paul D. Hovland (ISCAS, 2023)

Superstaq: Deep Optimization of Quantum Programs. - Colin Campbell; Frederic T. Chong; Denny Dahl; Paige Frederick; Palash Goiporia; Pranav Gokhale; Benjamin P. Hall; Salahedeen Issa; Eric Jones; Stephanie Lee; Andrew Litteken; Victory Omole; et al. (QCE, 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)

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

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

Q-CHOP: Quantum constrained Hamiltonian optimization. - Michael A. Perlin; Ruslan Shaydulin; Benjamin P. Hall; Pierre Minssen; Changhao Li; Kabir Dubey; Richard Rines; Eric R. Anschütz; Marco Pistoia; Pranav Gokhale (CoRR, 2024)

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

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. - Yuri Alexeev; Maximilian Amsler; Marco Antonio Barroca; Sanzio Bassini; Torey Battelle; Daan Camps; David Casanova; Young Jay Choi; Frederic T. Chong; Charles Chung; Christopher Codella; Antonio D. Córcoles; et al. (Future Gener. Comput. Syst., 2024)