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Demonstrating quantum error mitigation on logical qubits.

Aosai Zhang1, Haipeng Xie2, Yu Gao1

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This summary is machine-generated.

We demonstrate zero-noise extrapolation to reduce logical errors in quantum computing. This practical error mitigation technique enhances the reliability of superconducting quantum processors for early fault-tolerant applications.

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Area of Science:

  • Quantum Computing
  • Quantum Error Correction
  • Quantum Information Science

Background:

  • Quantum computing faces significant challenges from qubit noise, hindering early applications.
  • Mitigating post-correction logical failures is crucial for advancing fault-tolerant quantum computing.

Purpose of the Study:

  • To propose and experimentally validate zero-noise extrapolation for error correction circuits.
  • To demonstrate a practical method for suppressing logical errors in superconducting quantum processors.

Main Methods:

  • Applied zero-noise extrapolation, a quantum error mitigation technique.
  • Amplified noise on physical qubits to establish a predictable polynomial dependence on noise strength.
  • Utilized polynomial extrapolation to mitigate logical errors based on code distance.

Main Results:

  • Achieved a universal reduction in logical errors across diverse quantum circuits.
  • Demonstrated effectiveness in fault-tolerant circuits, including repetition and surface codes.
  • Observed sustained performance with increased circuit depth in multi-round error correction.

Conclusions:

  • Zero-noise extrapolation is a viable technique for mitigating logical errors in quantum error correction.
  • This method offers a practical pathway to reliable quantum computing in the early fault-tolerant era.
  • The approach shows promise for scaling quantum computations with improved fidelity.