91 citations · 104 across the 3 of their papers we have counts for
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quant-ph2022★ 9 cited
Fermionic tomography and learning
Bryan O'Gorman
Shadow tomography via classical shadows is a state-of-the-art approach for estimating properties of a quantum state. We present a simplified, combinatorial analysis of a recently p…
quant-ph2022★ 4 cited
Response to "Exponential challenges in unbiasing quantum Monte Carlo algorithms with quantum computers"
Joonho Lee, David R. Reichman, Ryan Babbush +4
A recent preprint by Mazzola and Carleo numerically investigates exponential challenges that can arise for the QC-QMC algorithm introduced in our work, "Unbiasing fermionic quantum…
quant-ph2014★ 91 cited
Bayesian Network Structure Learning Using Quantum Annealing
Bryan O'Gorman, Alejandro Perdomo-Ortiz, Ryan Babbush +2
We introduce a method for the problem of learning the structure of a Bayesian network using the quantum adiabatic algorithm. We do so by introducing an efficient reformulation of a…