2025/04/25 by Machida, Yusuke, Hiroki Kuji, Yuichiro Mori +12
Computer Science · Physics and Astronomy · #FOS: Physical sciences #Identification (biology) #Mechanical and Optical Resonators #Neural Networks and Reservoir Computing #Phase (matter) #Photon #Photonics #Quantum #Quantum Information and Cryptography #Quantum Physics (quant-ph) #Quantum sensor #Range (aeronautics) #State (computer science)
paper · pdf · doi:10.48550/arxiv.2504.18135
openalex publication_date 2025/04/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Quantum sensor networks (QSNs) have been widely studied for their potential of precise measurements. While most QSN research has focused on estimating continuous variables, recent studies have explored discrete-variable estimation. Here, we propose a method for high-precision identification of phase plate properties using a photon-based QSN, which is categorized as discrete-variable estimation. We consider an interaction of a single photon with N phase plates. There are some distinct properties of the phase plates, and we aim to identify such properties. Specifically, we investigate two cases: (i) distinguishing between phase plates that impart uniformly random phases in the range [0, 2π] and those that impart the same phase, and (ii) distinguishing between phase plates that impart uniformly random phases in [0, 2π] and those that impart phases within a narrower range [- δ, δ] (0< δ≪ 1). For this distinction, we consider two approaches: one in which a single photon is prepared in a nonlocal state before interacting with the phase plates, and the other in which the single photon remains in a local state. Our results demonstrate that the nonlocal state enables more precise identification when N is large.