Noise-Agnostic Unbiased Quantum Error Mitigation for Logical Qubits

Area of Science:

• Quantum Information Science
• Quantum Computing
• Quantum Error Mitigation

Background:

• Probabilistic error cancellation requires accurate error models.
• Error model parameter estimation can scale exponentially with qubit count.
• Existing methods face limitations with parameter fluctuations.

Purpose of the Study:

• Introduce a novel quantum error mitigation technique.
• Reduce the complexity of error modeling for unbiased quantum computation.
• Enhance the robustness of quantum error mitigation.

Main Methods:

• Developed spacetime noise inversion.
• Utilized a single accurately measured error parameter.
• Employed a sampler of Pauli errors, integrated with quantum error correction.

Main Results:

• Achieved unbiased quantum error mitigation with reduced parameter estimation.
• Demonstrated low cost for parameter measurement and error sampling.
• Showcased robustness against fluctuating error parameters.

Conclusions:

• Spacetime noise inversion offers an efficient path to unbiased quantum computation.
• Integration of error mitigation with error correction is a promising strategy.
• This method addresses practical limitations in current quantum error mitigation techniques.