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Calibrated Decoders for Experimental Quantum Error Correction.

Edward H Chen1, Theodore J Yoder2, Youngseok Kim2

  • 1IBM Quantum, Almaden Research Center, San Jose, California 95120, USA.

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|April 1, 2022
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Summary
This summary is machine-generated.

Researchers developed a new method to protect quantum memory states during repeated measurements, significantly reducing logical errors. This advancement is crucial for long quantum computations and error correction in quantum computing.

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Area of Science:

  • Quantum Information Science
  • Quantum Computing Hardware

Background:

  • Quantum computations require robust quantum memories capable of repeated measurements without state corruption.
  • Maintaining quantum memory integrity is essential for scalable quantum computing.

Purpose of the Study:

  • To preserve the quantum state of a quantum memory during repeated measurements.
  • To introduce and evaluate an effective error decoder for quantum memory preservation.

Main Methods:

  • Utilized flagged error events extracted via fast, midcircuit measurements and resets of physical qubits.
  • Introduced a perfect matching decoder calibrated from measurements including size-four correlated events.
  • Employed a partial postselection scheme for efficient data retention compared to full postselection.

Main Results:

  • Achieved logical errors per round of 2.2±0.1×10⁻² (without postselection) and 5.1±0.7×10⁻⁴ (with full postselection).
  • Observed logical error rates below the physical measurement error of 7×10⁻³.
  • Demonstrated a performance surpassing a pseudothreshold for repeated logical measurements.

Conclusions:

  • The developed method effectively preserves quantum memory states, enabling repeated measurements.
  • The perfect matching decoder and partial postselection scheme significantly improve error correction efficiency.
  • This work represents a critical step towards fault-tolerant, arbitrarily long quantum computations.