In the spontaneous regime, an SU(1,1) interferometer's most sensitive phase point moves from mid-fringe toward the dark fringe as contrast improves, yielding up to a factor of two in phase-variance advantage over non-entangled configurations.
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General derivation of phase sensitivity formulas for SU(1,1) interferometers with arbitrary inputs, homodyne detection, and losses; applied to coherent-state probes to optimize configurations.
A convolutional neural network trained on measured input-output pulse pairs predicts input pulse shapes and gain lines of a four-wave mixing rubidium vapor system using a single probe pulse.
A review covering frequentist and Bayesian parameter estimation, multiparameter cases, noisy and indefinite-causal-order channels, error-correction strategies, quantum Fisher information, and applications from many-body sensors to atomic clocks and imaging.
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Phase estimation in spontaneous nonlinear interferometry for enhanced quantum imaging
In the spontaneous regime, an SU(1,1) interferometer's most sensitive phase point moves from mid-fringe toward the dark fringe as contrast improves, yielding up to a factor of two in phase-variance advantage over non-entangled configurations.
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Sensitivity Evaluation of SU(1,1) Interferometers with Arbitrary Input Probe State and Homodyne Detections
General derivation of phase sensitivity formulas for SU(1,1) interferometers with arbitrary inputs, homodyne detection, and losses; applied to coherent-state probes to optimize configurations.
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Journey in quantum metrology and sensing from foundations to applications: a review
A review covering frequentist and Bayesian parameter estimation, multiparameter cases, noisy and indefinite-causal-order channels, error-correction strategies, quantum Fisher information, and applications from many-body sensors to atomic clocks and imaging.