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Error Propagation in NISQ Devices for Solving Classical Optimization Problems

Guillermo González-García1,2,*,‡, Rahul Trivedi1,2,†,‡, and J. Ignacio Cirac1,2

  • 1Max-Planck-Institut für Quantenoptik, Hans-Kopfermann-Str. 1, Garching 85748, Germany
  • 2Munich Center for Quantum Science and Technology (MCQST), Schellingstr. 4, Munich D-80799, Germany

  • *guillermo.gonzalez@mpq.mpg.de
  • †rahul.trivedi@mpq.mpg.de
  • ‡Both authors contributed equally.

PRX Quantum 3, 040326 – Published 5 December, 2022

DOI: https://doi.org/10.1103/PRXQuantum.3.040326

Abstract

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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