158 citations · 349 across the 13 of their papers we have counts for
4 papers · 1 filter
Learning, Optimizing, and Simulating Fermions with Quantum Computers
Andrew Zhao
Fermions are fundamental particles which obey seemingly bizarre quantum-mechanical principles, yet constitute all the ordinary matter that we inhabit. As such, their study is heavi…
Group-theoretic error mitigation enabled by classical shadows and symmetries
Andrew Zhao, Akimasa Miyake
Estimating expectation values is a key subroutine in quantum algorithms. Near-term implementations face two major challenges: a limited number of samples required to learn a large…
Quantum simulation of exact electron dynamics can be more efficient than classical mean-field methods
Ryan Babbush, William J. Huggins, Dominic W. Berry +6
Quantum algorithms for simulating electronic ground states are slower than popular classical mean-field algorithms such as Hartree-Fock and density functional theory, but offer hig…
Expanding the reach of quantum optimization with fermionic embeddings
Andrew Zhao, Nicholas C. Rubin
Quadratic programming over orthogonal matrices encompasses a broad class of hard optimization problems that do not have an efficient quantum representation. Such problems are insta…