Resource-efficient chemistry on quantum computers with the variational quantum eigensolver and the double unitary coupled-cluster approach M Metcalf, NP Bauman, K Kowalski, WA De Jong Journal of chemical theory and computation 16 (10), 6165-6175, 2020 | 39 | 2020 |
Simulating quantum materials with digital quantum computers L Bassman, M Urbanek, M Metcalf, J Carter, AF Kemper, WA de Jong Quantum Science and Technology 6 (4), 043002, 2021 | 25 | 2021 |
Engineered thermalization and cooling of quantum many-body systems M Metcalf, JE Moussa, WA de Jong, M Sarovar Physical Review Research 2 (2), 023214, 2020 | 23 | 2020 |
Quantum simulation of open quantum systems in heavy-ion collisions WA de Jong, M Metcalf, J Mulligan, M Płoskoń, F Ringer, X Yao Physical Review D 104 (5), L051501, 2021 | 21 | 2021 |
M. P loskon, F. Ringer, and X. Yao WA De Jong, M Metcalf, J Mulligan Phys. Rev. D 104, 051501, 2021 | 15 | 2021 |
Protocols for dynamically probing topological edge states and dimerization with fermionic atoms in optical potentials M Metcalf, CY Lai, K Wright, CC Chien Europhysics Letters 118 (5), 56004, 2017 | 12 | 2017 |
Matter-wave propagation in optical lattices: geometrical and flat-band effects M Metcalf, GW Chern, M Di Ventra, CC Chien Journal of Physics B: Atomic, Molecular and Optical Physics 49 (7), 075301, 2016 | 11 | 2016 |
Hysteresis of noninteracting and spin-orbit-coupled atomic Fermi gases with relaxation M Metcalf, CY Lai, CC Chien Physical Review A 93 (5), 053617, 2016 | 7 | 2016 |
M. P loskon, F. Ringer, and X. Yao,(2021) WA De Jong, M Metcalf, J Mulligan arXiv preprint arXiv:2010.03571, 0 | 7 | |
Dynamical Self-energy Mapping (DSEM) for quantum computing D Dhawan, M Metcalf, D Zgid arXiv preprint arXiv:2010.05441, 2020 | 5 | 2020 |
Quantum Markov chain Monte Carlo with digital dissipative dynamics on quantum computers M Metcalf, E Stone, K Klymko, AF Kemper, M Sarovar, WA de Jong Quantum Science and Technology 7 (2), 025017, 2022 | 4 | 2022 |
Dynamical self-energy mapping (DSEM) for creation of sparse Hamiltonians suitable for quantum computing D Dhawan, M Metcalf, D Zgid Journal of Chemical Theory and Computation 17 (12), 7622-7631, 2021 | 3 | 2021 |
Many-body multivaluedness of particle-current variance in closed and open cold-atom systems M Metcalf, CY Lai, M Di Ventra, CC Chien Physical Review A 98 (5), 053601, 2018 | 3 | 2018 |
Simulating quantum materials with digital quantum computers, 2021 L Bassman, M Urbanek, M Metcalf, J Carter, AF Kemper, W de Jong arXiv preprint arXiv:2101.08836, 0 | 3 | |
Compact Molecular Simulation on Quantum Computers via Combinatorial Mapping and Variational State Preparation D Chamaki, M Metcalf, WA de Jong arXiv preprint arXiv:2205.11742, 2022 | 1 | 2022 |
Towards automated superconducting circuit calibration using deep reinforcement learning MG Bautista, ZJ Yao, A Butko, M Kiran, M Metcalf 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 462-467, 2021 | 1 | 2021 |
Towards ai-enabled control for enhancing quantum transduction M Metcalf, A Butko, M Kiran arXiv preprint arXiv:2009.07876, 2020 | 1 | 2020 |
Engineered thermalization of quantum many-body systems M Metcalf, JE Moussa, WA de Jong, M Sarovar arXiv, arXiv: 1909.02023, 2019 | 1 | 2019 |
Designing quantum gates using deep reinforcement learning HN Nguyen, M Bukov, M Schmitt, F Motzoi, M Metcalf Bulletin of the American Physical Society, 2023 | | 2023 |
Spectral asymmetry of quantum feature maps with real world classical data M Metcalf, J Kirk Bulletin of the American Physical Society, 2023 | | 2023 |