Error Propagation in NISQ Devices for Solving Classical Optimization Problems

We propose a random circuit model that attempts to capture the behavior of noisy intermediate-scale quantum devices when used for variationally solving classical optimization problems. Our model accounts for the propagation of arbitrary single-qubit errors through the circuit. We find that, even wit...

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Main Authors: Guillermo González-García, Rahul Trivedi, J. Ignacio Cirac
Format: Article
Language:English
Published: American Physical Society 2022-12-01
Series:PRX Quantum
Online Access:http://doi.org/10.1103/PRXQuantum.3.040326
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author Guillermo González-García
Rahul Trivedi
J. Ignacio Cirac
author_facet Guillermo González-García
Rahul Trivedi
J. Ignacio Cirac
author_sort Guillermo González-García
collection DOAJ
description We propose a random circuit model that attempts to capture the behavior of noisy intermediate-scale quantum devices when used for variationally solving classical optimization problems. Our model accounts for the propagation of arbitrary single-qubit errors through the circuit. We find that, even with a small noise rate, the quality of the obtained optima implies that a single-qubit error rate of 1/(nD) (where n is the number of qubits and D is the circuit depth) is needed for the possibility of a quantum advantage. We estimate that this translates to an error rate lower than 10^{−6} using the quantum approximate optimization algorithm for classical optimization problems with two-dimensional circuits.
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spelling doaj.art-c7c498265eea41a298666091212498342022-12-22T03:47:53ZengAmerican Physical SocietyPRX Quantum2691-33992022-12-013404032610.1103/PRXQuantum.3.040326Error Propagation in NISQ Devices for Solving Classical Optimization ProblemsGuillermo González-GarcíaRahul TrivediJ. Ignacio CiracWe propose a random circuit model that attempts to capture the behavior of noisy intermediate-scale quantum devices when used for variationally solving classical optimization problems. Our model accounts for the propagation of arbitrary single-qubit errors through the circuit. We find that, even with a small noise rate, the quality of the obtained optima implies that a single-qubit error rate of 1/(nD) (where n is the number of qubits and D is the circuit depth) is needed for the possibility of a quantum advantage. We estimate that this translates to an error rate lower than 10^{−6} using the quantum approximate optimization algorithm for classical optimization problems with two-dimensional circuits.http://doi.org/10.1103/PRXQuantum.3.040326
spellingShingle Guillermo González-García
Rahul Trivedi
J. Ignacio Cirac
Error Propagation in NISQ Devices for Solving Classical Optimization Problems
PRX Quantum
title Error Propagation in NISQ Devices for Solving Classical Optimization Problems
title_full Error Propagation in NISQ Devices for Solving Classical Optimization Problems
title_fullStr Error Propagation in NISQ Devices for Solving Classical Optimization Problems
title_full_unstemmed Error Propagation in NISQ Devices for Solving Classical Optimization Problems
title_short Error Propagation in NISQ Devices for Solving Classical Optimization Problems
title_sort error propagation in nisq devices for solving classical optimization problems
url http://doi.org/10.1103/PRXQuantum.3.040326
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AT rahultrivedi errorpropagationinnisqdevicesforsolvingclassicaloptimizationproblems
AT jignaciocirac errorpropagationinnisqdevicesforsolvingclassicaloptimizationproblems