My research extends across quantum algorithms, quantum Monte Carlo methods, quantum error correction, topological quantum computing, and quantum thermalization. Below is a full list of publications.
Applied ML186 citations
Deep learning for single-shot autofocus microscopy
H. Pinkard, Z. Phillips, A. Babakhani, D.A. Fletcher, L. Waller
Optica, 2019
Quantum Chaos90 citations
Non-abelian eigenstate thermalization hypothesis
A. Babakhani, C. Murthy, N. Yunger Halpern
Physical Review Letters, 2023
Quantum Error Correction27 citations
Continuous quantum error correction for evolution under time-dependent Hamiltonians
J. Atalaya A. Babakhani , J. M. Epstein, B. Whaley
Physical Review A, 2021
Quantum Optimization21 citations
Threshold for fault-tolerant quantum advantage with the quantum approximate optimization algorithm
Multiple authors
Preprint
Quantum Monte Carlo8 citations
Quantum Monte Carlo algorithm for arbitrary spin-1/2 Hamiltonians
A. Babakhani, L. Barash, I. Hen
Physical Review Research
Quantum Monte Carlo5 citations
A quantum Monte Carlo algorithm for arbitrary high-spin Hamiltonians
A. Babakhani, L. Barash, I. Hen
Preprint
Mathematical Physics2 citations
Inequalities, identities, and bounds for divided differences of the exponential function
A. Babakhani et al.
Journal
Topological Phases2 citations
G-Crossed Modularity of Symmetry Enriched Topological Phases
A. Babakhani, P. Bonderson
Communications in Mathematical Physics
Quantum Optimization1 citations
Regularized Warm-Started Quantum Approximate Optimization and Conditions for Surpassing Classical Solvers on the Max-Cut Problem
Multiple authors, JP Morgan Chase
Preprint
Quantum Monte Carlo
Stoquasticity is not enough: towards a sharper diagnostic for Quantum Monte Carlo simulability
A. Babakhani et al.
Preprint
Condensed Matter
SNS junctions along the BCS-BEC crossover
A. Babakhani et al.
Preprint