Fully-Optimized Quantum Metrology: Framework, Tools, and Applications
Qiushi Liu, Zihao Hu, Haidong Yuan, Yuxiang Yang

TL;DR
This paper presents a comprehensive framework for quantum metrology that determines the ultimate precision limits for various strategies using semidefinite programming, enabling optimal strategy identification and comparison.
Contribution
It introduces a systematic, semidefinite programming-based approach to find the maximal quantum Fisher information for diverse quantum sensing strategies, including indefinite causal order.
Findings
Exact optimal precision values for different strategies
Comparison of conventional and causally-indefinite strategies
Applications to noisy and non-Markovian quantum metrology
Abstract
This tutorial introduces a systematic approach for addressing the key question of quantum metrology: For a generic task of sensing an unknown parameter, what is the ultimate precision given a constrained set of admissible strategies. The approach outputs the maximal attainable precision (in terms of the maximum of quantum Fisher information) as a semidefinite program and optimal strategies as feasible solutions thereof. Remarkably, the approach can identify the optimal precision for different sets of strategies, including parallel, sequential, quantum SWITCH-enhanced, causally superposed, and generic indefinite-causal-order strategies. The tutorial consists of a pedagogic introduction to the background and mathematical tools of optimal quantum metrology, a detailed derivation of the main approach, and various concrete examples. As shown in the tutorial, applications of the approach…
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