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Superconducting Qubits

Scalable General Error Mitigation for Quantum Circuits

arXiv
Authors: Philip Döbler, Jannik Pflieger, Fengping Jin, Hans De Raedt, Kristel Michielsen, Thomas Lippert, Manpreet Singh Jattana

Year

2024

Paper ID

36858

Status

Preprint

Abstract Read

~2 min

Abstract Words

153

Citations

N/A

Abstract

In quantum computing, error mitigation is a method to improve the results of an error-prone quantum processor by post-processing them on a classical computer. In this work, we improve the General Error Mitigation (GEM) method for scalability. GEM relies on the use of a matrix to represent the device error, which requires the execution of 2n+1 calibration circuits on the quantum hardware, where n is the number of qubits. With our improved method, the number of calibration runs is independent of the number of qubits and depends only on the number of non-zero states in the output distribution. We run 1853 randomly generated circuits with widths between 2-7 qubits and depths between 10-140 gates on IBMQ superconducting devices. The experiments show that the mitigation works comparably well to GEM, while requiring a fraction of the calibration runs. Finally, an experiment to mitigate errors in a 100 qubit circuit demonstrates the scalable features of our method.

Why This Paper Matters

  • This paper contributes to the Superconducting Qubits research area in the Quantum Articles archive.
  • It adds a 2024 reference point for readers tracking recent quantum research.
  • In quantum computing, error mitigation is a method to improve the results of an error-prone quantum processor by post-processing them on a classical computer.

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