7.2k citations · 10.7k across the 35 of their papers we have counts for
9 papers · 2 filters
Supplementary information for "Quantum supremacy using a programmable superconducting processor"
Frank Arute, Kunal Arya, Ryan Babbush +74
This is an updated version of supplementary information to accompany "Quantum supremacy using a programmable superconducting processor", an article published in the October 24, 201…
Discontinuous Galerkin discretization for quantum simulation of chemistry
Jarrod R. McClean, Fabian M. Faulstich, Qinyi Zhu +5
Methods for electronic structure based on Gaussian and molecular orbital discretizations offer a well established, compact representation that forms much of the foundation of corre…
Nearly Optimal Measurement Scheduling for Partial Tomography of Quantum States
Xavier Bonet-Monroig, Ryan Babbush, Thomas E. O'Brien
Many applications of quantum simulation require to prepare and then characterize quantum states by performing an efficient partial tomography to estimate observables corresponding…
Learning to learn with quantum neural networks via classical neural networks
Guillaume Verdon, Michael Broughton, Jarrod R. McClean +5
Quantum Neural Networks (QNNs) are a promising variational learning paradigm with applications to near-term quantum processors, however they still face some significant challenges.…
Efficient and Noise Resilient Measurements for Quantum Chemistry on Near-Term Quantum Computers
William J. Huggins, Jarrod McClean, Nicholas Rubin +4
Variational algorithms are a promising paradigm for utilizing near-term quantum devices for modeling electronic states of molecular systems. However, previous bounds on the measure…
Increasing the representation accuracy of quantum simulations of chemistry without extra quantum resources
Tyler Takeshita, Nicholas C. Rubin, Zhang Jiang +3
Proposals for near-term experiments in quantum chemistry on quantum computers leverage the ability to target a subset of degrees of freedom containing the essential quantum behavio…