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20102024
most citedSupplementary information for "Quantum supremacy using a programmable superconducting processor"

7.2k citations · 9.1k across the 86 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

quant-ph2019★ 4 cited

XACC: A System-Level Software Infrastructure for Heterogeneous Quantum-Classical Computing

Alexander J. McCaskey, Dmitry I. Lyakh, Eugene F. Dumitrescu +2

Quantum programming techniques and software have advanced significantly over the past five years, with a majority focusing on high-level language frameworks targeting remote REST l…

quant-ph2019★ 192 cited

Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems

Akshay Ajagekar, Travis Humble, Fengqi You

Quantum computing (QC) has gained popularity due to its unique capabilities that are quite different from that of classical computers in terms of speed and methods of operations. T…

quant-ph2019★ 7.2k cited

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…

quant-ph2019

Quantum Chemistry as a Benchmark for Near-Term Quantum Computers

Alexander J. McCaskey, Zachary P. Parks, Jacek Jakowski +4

We present a quantum chemistry benchmark for noisy intermediate-scale quantum computers that leverages the variational quantum eigensolver, active space reduction, a reduced unitar…

quant-ph2019★ 124 cited

Establishing the Quantum Supremacy Frontier with a 281 Pflop/s Simulation

Benjamin Villalonga, Dmitry Lyakh, Sergio Boixo +6

Noisy Intermediate-Scale Quantum (NISQ) computers are entering an era in which they can perform computational tasks beyond the capabilities of the most powerful classical computers…

quant-ph2019★ 141 cited

Application of Quantum Annealing to Nurse Scheduling Problem

Kazuki Ikeda, Yuma Nakamura, Travis S. Humble

Quantum annealing is a promising heuristic method to solve combinatorial optimization problems, and efforts to quantify performance on real-world problems provide insights into how…