Entanglement-enhanced sensor networks

Eden V. Figueroa

Yi Xia, Wei Li, William Clark +3 more

We propose and experimentally demonstrate a reconfigurable radio-frequency photonic sensor network based on continuous-variable multipartite entanglement. We further show that the entangled sensor network can be trained to undertake quantum-enhanced data classification tasks.

Jincheng Zhang

Quantum entanglement, a fundamental phenomenon in quantum mechanics, holds immense potential for revolutionizing sensor networks. This paper explores the design and implementation of a sensor network leveraging non-local quantum entanglement to achieve enhanced accuracy and resilience in distributed sensing. The core claim centers on utilizing quantum repeaters to extend the range of entangled photons, creating a network capable of processing information across significant distances. We address the challenges associated with maintaining entanglement fidelity in a network setting and propose a novel approach to overcome these hurdles, ultimately demonstrating a prototype sensor network demonstrating enhanced accuracy and resilience compared to traditional methods. We will delve into the theoretical underpinnings of entanglement-based communication, the role of quantum repeaters, and the potential implications for a wide range of sensing applications.

Seongjin Hong, Matthew A. Feldman, Claire E. Marvinney +5 more

In recent years, distributed quantum sensing has gained interest for a range of applications requiring networks of sensors, from global-scale clock synchronization to high energy physics. In particular, a network of entangled sensors can improve not only the sensitivity beyond the shot noise limit, but also enable a Heisenberg scaling with the number of sensors. Here, using bright entangled twin beams, we theoretically and experimentally demonstrate the detection of a linear combination of two distributed phases beyond the shot noise limit with a truncated SU(1,1) interferometer. Specifically, we show a quantum noise reduction of 1.7 ± 0.3 dB below what is possible with the corresponding classical configuration. Additionally, we theoretically extend the use of a truncated SU(1,1) interferometer to a multi-phase-distributed sensing scheme that leverages entanglement as a resource to achieve a quantum improvement in the scaling with the number of sensors in the network. Our results pave the way for developing quantum-enhanced sensor networks that can achieve an entanglement-enhanced sensitivity.

Janis Nötzel, Stephen DiAdamo