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Superposed Quantum Error Mitigation.

Jorge Miguel-Ramiro1, Zheng Shi2,3, Luca Dellantonio2,3,4

  • 1Universität Innsbruck, Institut für Theoretische Physik, Technikerstraße 21a, 6020 Innsbruck, Austria.

Physical Review Letters
|December 22, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel quantum computing method to mitigate noise by running computations in superposition. Parallel operations significantly reduce errors, achieving high fidelity for quantum algorithms.

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Area of Science:

  • Quantum Computing
  • Quantum Information Science
  • Quantum Error Mitigation

Background:

  • Noise and imperfections are significant challenges in achieving reliable quantum computations.
  • Current quantum error mitigation techniques often require specific noise models or complex postprocessing.

Purpose of the Study:

  • To develop a noise-resilient approach for quantum computation.
  • To demonstrate a method for mitigating arbitrary noise processes in quantum systems.

Main Methods:

  • Implementing desired unitary computations in superposition with auxiliary states.
  • Utilizing parallel applications of the same quantum operation.
  • Designing probabilistic, plug-and-play protocols independent of noise characteristics.
  • Employing adaptive corrections to enhance protocol success probability.

Main Results:

  • Significant noise mitigation achieved through parallel quantum operations.
  • Probabilistic protocols demonstrated to be effective without postprocessing.
  • Adaptive corrections enhance success probability towards deterministic outcomes.
  • Unit fidelity is asymptotically achievable with the proposed methods.

Conclusions:

  • The presented approach offers a robust solution for noise mitigation in quantum computing.
  • The methods are compatible with both gate-based and measurement-based quantum computational models.
  • This work paves the way for more reliable and scalable quantum information processing.