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    We mitigated noise in quantum processors using zero-noise extrapolation (ZNE). This technique improves accuracy for quantum computations like the variational quantum eigensolver.

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    Area of Science:

    • Quantum Information Science
    • Quantum Computing
    • Photonic Systems

    Background:

    • Quantum processors are susceptible to noise, which limits computational accuracy.
    • Indistinguishably-related noise, particularly in photonic systems, poses a significant challenge.
    • Accurate estimation of Hamiltonian eigenvalues is crucial for many quantum algorithms.

    Purpose of the Study:

    • To demonstrate the effectiveness of zero-noise extrapolation (ZNE) for mitigating indistinguishably-related noise.
    • To improve the accuracy of quantum computations in the presence of noise.
    • To analyze the impact of photon distinguishability on a two-qubit variational quantum eigensolver.

    Main Methods:

    • Implementing the zero-noise extrapolation (ZNE) technique.
    • Measuring observable values at varying levels of induced noise.
    • Extrapolating results to a zero-noise limit.
    • Utilizing a two-qubit quantum photonic processor for the Schwinger Hamiltonian.

    Main Results:

    • Successful mitigation of indistinguishably-related noise was achieved.
    • The ZNE technique effectively extrapolated results toward a noise-free regime.
    • Improved accuracy in Hamiltonian eigenvalue estimation was observed.
    • The impact of partial photon distinguishability was quantified.

    Conclusions:

    • Zero-noise extrapolation is a viable error mitigation strategy for quantum photonic processors.
    • ZNE enhances the reliability of quantum algorithms like the variational quantum eigensolver.
    • Addressing photon distinguishability is important for advancing quantum computation accuracy.