Measurement-Based Estimation of Causal Conditional Variances and Its Application to Macroscopic quantum phenomenon

• URL: http://arxiv.org/abs/2603.16821v2
• Date: Wed, 18 Mar 2026 05:00:03 GMT
• Title: Measurement-Based Estimation of Causal Conditional Variances and Its Application to Macroscopic quantum phenomenon
• Abstract summary: We analytically investigate a quantum estimation method for a mechanical oscillator in a detuned cavity system based solely on homodyne measurement records.<n>We show that, within experimentally relevant parameter regimes for typical quantum-state preparation, the reconstruction bias is sufficiently small to be neglected.<n>As applications to state verification, we apply the method to proposals for macroscopic quantum entanglement mediated by electromagnetic interactions.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We analytically investigate a quantum estimation method for a mechanical oscillator in a detuned cavity system based solely on homodyne measurement records, building on the framework developed by C.Meng et al. (Science Advances 8, 7585 (2022)). Estimation based only on measurement records is important because it enables state verification without assuming knowledge of the true system state. We construct a relative estimate operator from causal and anti-causal quantum Wiener filters and calculate its variance. The deviation from the causal conditional variance is defined as a reconstruction bias, whose magnitude is evaluated analytically. We show that, within experimentally relevant parameter regimes for typical quantum-state preparation, the reconstruction bias is sufficiently small to be neglected. As applications to state verification, we apply the method to proposals for macroscopic quantum entanglement mediated by electromagnetic interactions and for conditional momentum-squeezed states generated by homodyne detection, and clarify the conditions under which the bias remains negligible and when the reconstruction bias becomes significant.

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