Distributed multi-parameter quantum sensing based on Gaussian multipartite entanglement

This is the authors' abstract. We don't add key points for this paper.

Distributed quantum sensing has important applications in quantum-enhanced estimation of global parameters, which is the weighted sum of each sensor. Towards applications, it is essential to estimate more global parameters simultaneously. Here, we propose an improved quantum-enhanced distributed multi-parameter sensing of more than two global parameters simultaneously via Gaussian multipartite entanglement. We show that two global parameters, containing the real and imaginary parts of the complex amplitudes of multiple radio-frequency fields, can be estimated based on an Einstein-Podolsky-Rosen entangled state. Compared to the distributed quantum sensing with squeezed light in the same sensing network, the sensors are extended from M to 2 M in the improved scheme with multipartite entanglement. This work provides a practical approach for advancing high-precision multi-parameter quantum sensing technologies.