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Scalable Randomized Benchmarking of Quantum Computers Using Mirror Circuits.

Timothy Proctor1,2, Stefan Seritan1,2, Kenneth Rudinger1,2

  • 1Quantum Performance Laboratory, Sandia National Laboratories, Albuquerque, New Mexico 87185, USA.

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Summary
This summary is machine-generated.

We introduce randomized mirror circuits for scalable quantum gate benchmarking. This method accurately estimates infidelity and detects crosstalk errors in multi-qubit systems, overcoming limitations of current techniques.

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Area of Science:

  • Quantum Information Science
  • Quantum Computing
  • Quantum Error Correction

Background:

  • Randomized benchmarking is crucial for assessing quantum gate performance.
  • Current methods are limited to small qubit numbers (approx. 5 qubits).
  • Scalable and robust benchmarking is needed for advancing quantum technologies.

Purpose of the Study:

  • To develop a scalable and flexible randomized benchmarking technique for Clifford gates.
  • To enable accurate infidelity estimation for many-qubit logic layers.
  • To identify and quantify crosstalk errors in multi-qubit quantum circuits.

Main Methods:

  • Utilized randomized mirror circuits, a customizable circuit class.
  • Performed large-scale simulations (up to 225 qubits) with realistic error rates (0.1%-1%).
  • Applied the technique to a 16-qubit cloud quantum computing platform.

Main Results:

  • Demonstrated the scalability of randomized mirror circuits for benchmarking.
  • Showed approximate estimation of average many-qubit logic layer infidelity.
  • Successfully revealed and quantified crosstalk errors on physical qubits.

Conclusions:

  • Randomized mirror circuits offer a scalable and robust solution for quantum gate benchmarking.
  • The technique is effective for analyzing infidelity and crosstalk in multi-qubit systems.
  • This method advances the characterization and development of larger quantum computers.