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20152022
most citedDeep Learning Beyond Lefschetz Thimbles

68 citations · 240 across the 12 of their papers we have counts for

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6 papers · 1 filter

quant-ph20222 cited

Report of the Snowmass 2021 Theory Frontier Topical Group on Quantum Information Science

Simon Catterall, Roni Harnik, Veronika E. Hubeny +12

We summarize current and future applications of quantum information science to theoretical high energy physics. Three main themes are identified and discussed; quantum simulation,…

quant-ph202224 cited

Quantum computing hardware for HEP algorithms and sensing

M. Sohaib Alam, Sergey Belomestnykh, Nicholas Bornman +37

Quantum information science harnesses the principles of quantum mechanics to realize computational algorithms with complexities vastly intractable by current computer platforms. Ty…

quant-ph20214 cited

Simulations of Quantum Circuits with Approximate Noise using qsim and Cirq

Sergei V. Isakov, Dvir Kafri, Orion Martin +15

We introduce multinode quantum trajectory simulations with qsim, an open source high performance simulator of quantum circuits. qsim can be used as a backend of Cirq, a Python soft…

quant-ph2021

Large scale multi-node simulations of gauge theory quantum circuits using Google Cloud Platform

Erik Gustafson, Burt Holzman, James Kowalkowski +12

Simulating quantum field theories on a quantum computer is one of the most exciting fundamental physics applications of quantum information science. Dynamical time evolution of qua…

quant-ph202021 cited

Suppressing Coherent Gauge Drift in Quantum Simulations

Henry Lamm, Scott Lawrence, Yukari Yamauchi

Simulations of field theories on noisy quantum computers must contend with errors introduced by that noise. For gauge theories, a large class of errors violate gauge symmetry, and…

quant-ph2018

Simulation of Nonequilibrium Dynamics on a Quantum Computer

Henry Lamm, Scott Lawrence

We present a hybrid quantum-classical algorithm for the time evolution of out-of-equilibrium thermal states. The method depends upon classically computing a sparse approximation to…