Year: 2025
Type: article
Abstract: 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.
Authors: Yusuke Machida, Hiroki Kuji, Yuichiro Mori, Hideaki Kawaguchi, Takashi Imoto, Yuki Takeuchi, Miku Ishizaki, Yuichiro Matsuzaki
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4412625107