1 citations · 1 across the 7 of their papers we have counts for
7 papers
Better Pauli Channel Learning with Maximum Likelihood Estimation
Daniel Belkin, Faisal Alam, Matthew Thibodeau +3
Error mitigation in a noisy quantum device requires a very good estimate of the noise channel. The accuracy of probabilistic error cancellation is often limited by the high sample…
Onset of Ergodicity Across Scales on a Digital Quantum Processor
Faisal Alam, Marcos Crichigno, Elizabeth Crosson +7
Understanding how isolated quantum many-body systems thermalize remains a central question in modern physics. We study the onset of ergodicity in a two-dimensional disordered Heise…
Programmable digital quantum simulation of 2D Fermi-Hubbard dynamics using 72 superconducting qubits
Faisal Alam, Jan Lukas Bosse, Ieva Čepaitė +41
Simulating the time-dynamics of quantum many-body systems was the original use of quantum computers proposed by Feynman, motivated by the critical role of quantum interactions betw…
Fermionic dynamics on a trapped-ion quantum computer beyond exact classical simulation
Faisal Alam, Jan Lukas Bosse, Ieva Čepaitė +37
Simulation of the time-dynamics of fermionic many-body systems has long been predicted to be one of the key applications of quantum computers. Such simulations -- for which classic…
Transmon qutrit-based simulation of spin-1 AKLT systems
Keerthi Kumaran, Faisal Alam, Norhan Eassa +5
Qutrit-based quantum circuits could help reduce the overall circuit depths, and hence the effect of noise, when the system of interest has a local dimension of three. Accessing sec…
Learning dynamic quantum circuits for efficient state preparation
Faisal Alam, Bryan K. Clark
Dynamic quantum circuits (DQCs) incorporate mid-circuit measurements and gates conditioned on these measurement outcomes. DQCs can prepare certain long-range entangled states in co…
Multi-reference Quantum Davidson Algorithm for Quantum Dynamics
Noah Berthusen, Faisal Alam, Yu Zhang
Simulating quantum systems is one of the most promising tasks where quantum computing can potentially outperform classical computing. However, the robustness needed for reliable si…