Achieving the Multi-parameter Quantum Cram\'er-Rao Bound with Antiunitary Symmetry
Ben Wang, Kaimin Zheng, Qian Xie, Aonan Zhang, Liang Xu, and Lijian, Zhang

TL;DR
This paper introduces a novel approach using antiunitary symmetry to achieve the quantum Cramér-Rao bound simultaneously for multiple parameters, significantly improving precision in quantum metrology.
Contribution
It demonstrates that antiunitary symmetry can be exploited to optimize multi-parameter quantum estimation, achieving ultimate precision without trade-offs.
Findings
Achieves quantum Cramér-Rao bound for multiple parameters simultaneously
Improves estimation precision at least twofold over conventional methods
Provides experimental models demonstrating the approach
Abstract
The estimation of multiple parameters is a ubiquitous requirement in many quantum metrology applications. However, achieving the ultimate precision limit, i.e. the quantum Cram\'er-Rao bound, becomes challenging in these scenarios compared to single parameter estimation. To address this issue, optimizing the parameters encoding strategies with the aid of antiunitary symmetry is a novel and comprehensive approach. For demonstration, we propose two types of quantum statistical models exhibiting antiunitary symmetry in experiments. The results showcase the simultaneous achievement of ultimate precision for multiple parameters without any trade-off and the precision is improved at least twice compared to conventional encoding strategies. Our work emphasizes the significant potential of antiunitary symmetry in addressing multi-parameter estimation problems.
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.
