2025
Application scale quantum circuit compilation with controlled error
Justin Kalloor, Lucas Kovalsky, Mathias Weiden, John Kubiatowicz, Ed Younis, Costin Iancu, Mohan Sarovar
Real-time adaptation of quantum noise channel estimates
Lucas Daguerre, Mohan Sarovar.
arXiv:2501.18685 | Phys. Rev. A, 111, 062609 (2025)
2024
Quantum computation of stopping power for inertial fusion target design
Nicholas C. Rubin, Dominic W. Berry, Alina Kononov, Fionn D. Malone, Tanuj Khattar, Alec White, Joonho Lee, Harmut Neven, Ryan Babbush, and Andrew D. Baczewski
arXiv:2308.12352 | PNAS 121, 23 (2024)
Exponential improvements in the simulation of lattice gauge theories using near-optimal techniques
Mason Rhodes, Michael Kreshchuk, and Shivesh Pathak
Requirements for building effective Hamiltonians using quantum-enhanced density matrix downfolding
Shivesh Pathak, Antonio E. Russo, Stefan Seritan, Alicia B. Magann, Eric Bobrow, Andrew J. Landahl, and Andrew D. Baczewski
An assessment of quantum phase estimation protocols for early fault-tolerant quantum computers
Jacob S. Nelson and Andrew D. Baczewski
Self-Healing of Trotter Error in Digital Adiabatic State Preparation
Lucas K. Kovalsky, Fernando A. Calderon-Vargas, Matthew D. Grace, Alicia B. Magann, James B. Larsen, Andrew D. Baczewski, Mohan Sarovar
arXiv:2209.06242 | Phys. Rev. Lett. 131, 060602 (2023)
A fast quantum route to random numbers
Mohan Sarovar
Nature (News & Views), 619, 256 (2023)
Quantum simulation of exact electron dynamics can be more efficient than classical mean-field methods
Ryan Babbush, William J. Huggins, Dominic W. Berry, Shu Fay Ung, Andrew Zhao, David R. Reichman, Hartmut Neven, Andrew D. Baczewski, and Joonho Lee
arXiv:2301.01203 | Nature Communications 14, 4058 (2023)
Quantum-inspired tempering for ground state approximation using artificial neural networks
Tameem Albash, Conor Smith, Quinn Campbell, and Andrew D. Baczewski
arXiv:2210.11405 | SciPost Phys. 14, 121 (2023)
Quantifying T-gate-count improvements for ground-state-energy estimation with near-optimal state preparation
Shivesh Pathak, Antonio E. Russo, Stefan K. Seritan, and Andrew D. Baczewski
arXiv:2210.10872 | Phys. Rev. A 107, L040601 (2023)
Nanoscale Architecture for Frequency-Resolving Single-Photon Detectors
Steve M. Young, Mohan Sarovar, François Léonard.
arXiv:2205.05817 | Commun. Phys. 6, 71 (2023)
Shining light on data
Akshat Kumar, Mohan Sarovar
Machine Learning and the Physical Sciences workshop, NeurIPS 2022.
Shining light on data: geometric data analysis through quantum dynamics
Akshat Kumar, Mohan Sarovar
Establishing trust in quantum computations
Timothy Proctor, Stefan Seritan, Erik Nielsen, Kenneth Rudinger, Kevin Young, Robin Blume-Kohout, Mohan Sarovar
Quantum circuit debugging and sensitivity analysis via local inversions
Fernando A. Calderon-Vargas, Timothy Proctor, Kenneth Rudinger, Mohan Sarovar
arXiv:2204.06056 | Quantum 7, 921 (2023)
Surrogate-based optimization for variational quantum algorithms
Ryan Shaffer, Lucas Kocia, Mohan Sarovar
Manifold learning via quantum dynamics
Akshat Kumar, Mohan Sarovar
Quantum simulation of weak-field light-matter interactions
Steve M. Young, Mohan Sarovar
arXiv:2112.07177 | Phys. Rev. Research 5, 013027 (2023)
Quantum Circuit Transformations with a Multi-Level Intermediate Representation Compiler
Thien Nguyen, Dmitry Lyakh, Raphael C. Pooser, Travis S. Humble, Timothy Proctor, Mohan Sarovar
Lyapunov control-inspired strategies for quantum combinatorial optimization
Alicia B. Magann, Kenneth M. Rudinger, Matthew D. Grace, Mohan Sarovar
arXiv:2108.05945 | Phys. Rev. A 106, 062414 (2022)
Behavior of Analog Quantum Algorithms
Lucas T. Brady, Lucas Kocia, Przemyslaw Bienias, Aniruddha Bapat, Yaroslav Kharkov, Alexey V. Gorshkov
Efficient light harvesting and photon sensing via engineered cooperative effects
Francesco Mattiotti, Mohan Sarovar, Giulio G. Giusteri, Fausto Borgonovi, G. Luca Celardo
arXiv:2105.07896 | New J. Phys. 24, 013027 (2022)
Keywords: Device Models
Feedback-based quantum optimization
Alicia B. Magann, Kenneth M. Rudinger, Matthew D. Grace, Mohan Sarovar
arXiv:2103.08619 | Phys. Rev. Lett. 129, 250502 (2022)
A taxonomy of small Markovian errors
Robin Blume-Kohout, Marcus P. da Silva, Erik Nielsen, Timothy Proctor, Kenneth Rudinger, Mohan Sarovar, Kevin Young
arXiv:2103.01928 | PRX Quantum 3, 020335 (2022)
Quantum Markov Chain Monte Carlo with Digital Dissipative Dynamics on Quantum Computers
Mekena Metcalf, Emma Stone, Katherine Klymko, Alexander F. Kemper, Mohan Sarovar, Wibe A. de Jong
arXiv:2103.03207 | Quantum Sci. Technol. 7, 025017 (2022)
Improved Strong Simulation of Universal Quantum Circuits
Lucas Kocia
Verifying quantum circuit equivalences using Prove-It, an interactive theorem proving assistant
Joaquín E. Madrid Larrañaga, Wayne M. Witzel
Computer Science Research Institute Summer Proceedings 2020
Prove-It: A Proof Assistant for Organizing and Verifying General Mathematical Knowledge
Wayne M. Witzel, Warren D. Craft, Robert D. Carr, Joaquín E. Madrid Larrañaga
Consistency testing for robust phase estimation
Antonio E. Russo, William M. Kirby, Kenneth M. Rudinger, Andrew D. Baczewski, Shelby Kimmel
arXiv:2011.13442 | Phys. Rev. A 103, 042609 (2021)
From pulses to circuits and back again: A quantum optimal control perspective on variational quantum algorithms
Alicia B. Magann, Christian Arenz, Matthew D. Grace, Tak-San Ho, Robert L. Kosut, Jarrod R. McClean, Herschel A. Rabitz, Mohan Sarovar
arXiv:2009.06702 | PRX Quantum (Perspective), 2, 010101 (2020)
Quantum proportional-integral (PI) control
Hui Chen, Hanhan Li, Felix Motzoi, Leigh S. Martin, K. Birgitta Whaley, Mohan Sarovar
arXiv:2007.13853 | New J. Phys. 22, 113014 (2020)
Evaluating energy differences on a quantum computer with robust phase estimation
A.E. Russo, K.M. Rudinger, B.C.A. Morrison, A.D. Baczewski
arXiv:2007.08697 | Phys. Rev. Lett. 126, 210501 (2021)
Machine learning of noise-resilient quantum circuits
Lukasz Cincio, Kenneth Rudinger, Mohan Sarovar, Patrick J. Coles
arXiv:2007.01210 | PRX Quantum, 2, 010324 (2021)
Improved Simulation of Quantum Circuits by Fewer Gaussian Eliminations
Lucas Kocia, Mohan Sarovar
arXiv:2003.01130 | Phys. Rev. A, 103, 022603 (2021)
Digital quantum simulation of molecular dynamics and control
Alicia B. Magann, Matthew D. Grace, Herschel A Rabitz, Mohan Sarovar
arXiv:2002.12497 | Phys. Rev. Research, 3, 023165 (2021)
Engineered thermalization of quantum many-body systems
Mekena Metcalf, Jonathan E. Moussa, Wibe A. de Jong, Mohan Sarovar
arXiv:1909.02023 | Physical Review Research, 2 023214 (2020)
Design of high-performance photon number resolving photodetectors based on coherently interacting nanoscale elements
Steve M. Young, Mohan Sarovar, François Léonard
arXiv:1909.07911 | ACS Photonics, 7, 821 (2020)
Detecting crosstalk errors in quantum information processors
Mohan Sarovar, Timothy Proctor, Kenneth Rudinger, Kevin Young, Erik Nielsen, Robin Blume-Kohout