Back to Search Start Over

Adaptive Phase Estimation with Squeezed Vacuum Approaching the Quantum Limit

Authors :
Rodríguez-García, M. A.
Becerra, F. E.
Source :
Quantum 8, 1480 (2024)
Publication Year :
2023

Abstract

Phase estimation plays a central role in communications, sensing, and information processing. Quantum correlated states, such as squeezed states, enable phase estimation beyond the shot-noise limit, and in principle approach the ultimate quantum limit in precision, when paired with optimal quantum measurements. However, physical realizations of optimal quantum measurements for optical phase estimation with quantum-correlated states are still unknown. Here we address this problem by introducing an adaptive Gaussian measurement strategy for optical phase estimation with squeezed vacuum states that, by construction, approaches the quantum limit in precision. This strategy builds from a comprehensive set of locally optimal POVMs through rotations and homodyne measurements and uses the Adaptive Quantum State Estimation framework for optimizing the adaptive measurement process, which, under certain regularity conditions, guarantees asymptotic optimality for this quantum parameter estimation problem. As a result, the adaptive phase estimation strategy based on locally-optimal homodyne measurements achieves the quantum limit within the phase interval of $[0, \pi/2)$. Furthermore, we generalize this strategy by including heterodyne measurements, enabling phase estimation across the full range of phases from $[0, \pi)$, where squeezed vacuum allows for unambiguous phase encoding. Remarkably, for this phase interval, which is the maximum range of phases that can be encoded in squeezed vacuum, this estimation strategy maintains an asymptotic quantum-optimal performance, representing a significant advancement in quantum metrology.<br />Comment: 23 pages, 11 figures

Subjects

Subjects :
Quantum Physics
Physics - Optics

Details

Database :
arXiv
Journal :
Quantum 8, 1480 (2024)
Publication Type :
Report
Accession number :
edsarx.2312.07686
Document Type :
Working Paper
Full Text :
https://doi.org/10.22331/q-2024-09-25-1480