Quantum approximate optimization of the long-range Ising model with a trapped-ion quantum simulator.

G, Pagano; A, Bapat; P, Becker; KS, Collins; A, De; PW, Hess; HB, Kaplan; A, Kyprianidis; WL, Tan; C, Baldwin; LT, Brady; A, Deshpande; F, Liu; S, Jordan; AV, Gorshkov; C, Monroe

doi:10.1073/pnas.2006373117

Public

Quantum approximate optimization of the long-range Ising model with a trapped-ion quantum simulator.

Published in Proceedings of the National Academy of Sciences of the United States of America • Oct 6, 2020

Authors:

Pagano G

Bapat A

Becker P

Abstract

Quantum computers and simulators may offer significant advantages over their classical counterparts, providing insights into quantum many-body systems and possibly improving performance for solving exponentially hard problems, such as optimization and satisfiability. Here, we report the implementati...

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Open Access

Subject

Quantum Algorithms

Quantum Computing

Quantum Simulation

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