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    Image inversion interferometry can precisely measure source separation near the quantum limit. Despite system imperfections, this technique remains superior to direct imaging when using pixelated detectors.

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    Area of Science:

    • Quantum optics
    • Optical imaging technologies

    Background:

    • Image inversion interferometry offers quantum-limited measurement of source separation.
    • Real-world imaging systems face aberrations and imperfections that can degrade performance.

    Purpose of the Study:

    • To numerically investigate the impact of realistic system imperfections on image inversion interferometry.
    • To determine the robustness and practical applicability of this technique.

    Main Methods:

    • Numerical simulations were performed to model common phase aberrations, interferometer misalignment, and imperfect energy splitting.
    • Performance was evaluated by comparing image inversion interferometry with direct detection imaging.

    Main Results:

    • Image inversion interferometry maintains its advantage over direct detection imaging across a range of aberrations.
    • Pixelated detection at the interferometer outputs is crucial for preserving this superiority.

    Conclusions:

    • Image inversion interferometry is robust to common imaging imperfections, especially with pixelated detectors.
    • This study provides essential system design guidelines for achieving quantum-limited source separation measurements.