Ryan Babbush, Ph.D., Chemical Physics

Chemistry and Chemical Biology Harvard University, Cambridge, MA, United States 
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"Ryan Babbush"
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Arjendu PATTANAYAK research assistant Carleton College (Physics Tree)
Alán Aspuru-Guzik grad student Harvard
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Babbush R, Huggins WJ, Berry DW, et al. (2023) Quantum simulation of exact electron dynamics can be more efficient than classical mean-field methods. Nature Communications. 14: 4058
Lee S, Lee J, Zhai H, et al. (2023) Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistry. Nature Communications. 14: 1952
O'Brien TE, Ioffe LB, Su Y, et al. (2022) Quantum computation of molecular structure using data from challenging-to-classically-simulate nuclear magnetic resonance experiments. Prx Quantum : a Physical Review Journal. 3
Huggins WJ, Wan K, McClean J, et al. (2022) Nearly Optimal Quantum Algorithm for Estimating Multiple Expectation Values. Physical Review Letters. 129: 240501
Goings JJ, White A, Lee J, et al. (2022) Reliably assessing the electronic structure of cytochrome P450 on today's classical computers and tomorrow's quantum computers. Proceedings of the National Academy of Sciences of the United States of America. 119: e2203533119
Huang HY, Broughton M, Cotler J, et al. (2022) Quantum advantage in learning from experiments. Science (New York, N.Y.). 376: 1182-1186
Huggins WJ, O'Gorman BA, Rubin NC, et al. (2022) Unbiasing fermionic quantum Monte Carlo with a quantum computer. Nature. 603: 416-420
Mi X, Ippoliti M, Quintana C, et al. (2021) Time-Crystalline Eigenstate Order on a Quantum Processor. Nature
Mi X, Roushan P, Quintana C, et al. (2021) Information scrambling in quantum circuits. Science (New York, N.Y.). eabg5029
McClean JR, Rubin NC, Lee J, et al. (2021) What the foundations of quantum computer science teach us about chemistry. The Journal of Chemical Physics. 155: 150901
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