Precision Bounds for Characterising Quantum Measurements
Aritra Das, Simon K. Yung, Lorcan O. Conlon, Ozlem Erkilic, Angus Walsh, Yong-Su Kim, Ping K. Lam, Syed M. Assad, Jie Zhao

TL;DR
This paper introduces a comprehensive framework for efficiently characterising quantum measurements, establishing fundamental limits and differences from state estimation, with practical validation for current quantum detector technologies.
Contribution
It develops a detector quantum Fisher information framework that simplifies detector estimation without needing optimal probe states, advancing quantum tomography methods.
Findings
Reveals fundamental limits to parameter extraction in quantum detectors.
Provides a robust, experimentally validated framework for detector estimation.
Connects detector analysis with state and process tomography in quantum information.
Abstract
Quantum measurements, alongside quantum states and processes, form a cornerstone of quantum information processing. However, unlike states and processes, their efficient characterisation remains relatively unexplored. We resolve this asymmetry by introducing a comprehensive framework for efficient detector estimation that reveals the fundamental limits to extractable parameter information and errors arising in detector analysis - the detector quantum Fisher information. Our development eliminates the need to optimise for the best probe state, while highlighting aspects of detector analysis that fundamentally differ from quantum state estimation. Through proofs, examples and experimental validation, we demonstrate the relevance and robustness of our proposal for current quantum detector technologies. By formalising a dual perspective to state estimation, our framework completes and…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Mechanics and Applications · Distributed Sensor Networks and Detection Algorithms
