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This study introduces a new measurement error mitigation technique for quantum computers that is robust against state-preparation errors. This method enhances the accuracy of quantum computations, particularly for high-precision measurements and quantum foundations experiments.

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Area of Science:

  • Quantum Computing
  • Quantum Information Science

Background:

  • Near-term quantum computers face significant measurement errors, often exceeding gate errors.
  • Existing transition matrix error mitigation (TMEM) techniques are sensitive to state-preparation errors, limiting their rigorous application.

Purpose of the Study:

  • To develop a measurement error mitigation technique resilient to state-preparation errors.
  • To improve the accuracy of quantum computations on current quantum hardware.
  • To enable high-precision measurements and quantum foundations experiments.

Main Methods:

  • Developed a conditionally rigorous transition matrix error mitigation (TMEM) technique.
  • Demonstrated the technique by measuring Mermin polynomials on IBM Q superconducting qubits.
  • Extended the technique to correct for state-preparation and measurement (SPAM) errors in expectation values.

Main Results:

  • The new TMEM technique is insensitive to state-preparation errors.
  • Successfully applied the method for high-precision measurements and quantum foundations experiments.
  • Developed a protocol for fully SPAM-corrected quantum process tomography.

Conclusions:

  • The conditionally rigorous TMEM offers a robust solution for measurement error mitigation in quantum computing.
  • This technique is crucial for advancing high-precision quantum measurements and foundational experiments.
  • The extended method provides a pathway for comprehensive SPAM error correction in quantum process tomography.