Multi-parameter quantum metrology with stabilized multi-mode squeezed state
Yue Li, Xu Cheng, Lingna Wang, Xingyu Zhao, Waner Hou, Yi Li, Kamran, Rehan, Mingdong Zhu, Lin Yan, Xi Qin, Xinhua Peng, Haidong Yuan, Yiheng Lin,, and Jiangfeng Du

TL;DR
This paper demonstrates the generation and stabilization of a multi-mode squeezed state in a trapped ion system, enabling enhanced simultaneous estimation of multiple parameters beyond classical limits, with potential applications in quantum sensing and imaging.
Contribution
It introduces a method to generate and stabilize multi-mode squeezed states in trapped ions for multi-parameter quantum metrology, surpassing classical measurement limits.
Findings
Achieved stabilization of two-mode squeezed states in trapped ions.
Demonstrated simultaneous displacement estimation surpassing classical limits.
Achieved up to 6.9 and 7.0 dB improvements in measurement precision.
Abstract
Squeezing a quantum state along a specific direction has long been recognized as a crucial technique for enhancing the precision of quantum metrology by reducing parameter uncertainty. However, practical quantum metrology often involves the simultaneous estimation of multiple parameters, necessitating the use of high-quality squeezed states along multiple orthogonal axes to surpass the standard quantum limit for all relevant parameters. In addition, a temporally stabilized squeezed state can provide an event-ready probe for parameters, regardless of the initial state, and robust to the timing of the state preparation process once stabilized. In this work, we generate and stabilize a two-mode squeezed state along two secular motional modes in a vibrating trapped ion with reservoir engineering, despite starting from a thermal state of the motion. Leveraging this resource, we demonstrate…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Information and Cryptography · Mechanical and Optical Resonators · Neural Networks and Reservoir Computing
