138 citations · 325 across the 6 of their papers we have counts for
3 papers · 1 filter
Adaptive Quantum Simulated Annealing for Bayesian Inference and Estimating Partition Functions
Aram W. Harrow, Annie Y. Wei
Markov chain Monte Carlo algorithms have important applications in counting problems and in machine learning problems, settings that involve estimating quantities that are difficul…
Exponentially More Precise Quantum Simulation of Fermions in the Configuration Interaction Representation
Ryan Babbush, Dominic W. Berry, Yuval R. Sanders +5
We present a quantum algorithm for the simulation of molecular systems that is asymptotically more efficient than all previous algorithms in the literature in terms of the main pro…
Exponentially more precise quantum simulation of fermions I: Quantum chemistry in second quantization
Ryan Babbush, Dominic W. Berry, Ian D. Kivlichan +3
We introduce novel algorithms for the quantum simulation of molecular systems which are asymptotically more efficient than those based on the Trotter-Suzuki decomposition. We prese…