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Robustness of Measurement, Discrimination Games, and Accessible Information
Paul Skrzypczyk1, Noah Linden2
1H. H. Wills Physics Laboratory, University of Bristol, Tyndall Avenue, Bristol, BS8 1TL, United Kingdom.
We introduce a new measure for quantifying measurement informativeness, called the robustness of measurement. This quantifier determines the noise threshold for a measurement to become uninformative, with implications for quantum information science.
Area of Science:
- Quantum Information Science
- Quantum Measurement Theory
- Information Theory
Background:
- Quantifying the informativeness of quantum measurements is crucial for understanding quantum information processing.
- Existing measures often lack a clear operational meaning or a single-shot generalization.
Purpose of the Study:
- To introduce a resource theory for measurement informativeness.
- To define and analyze a new quantifier: the robustness of measurement.
- To establish connections between robustness measures, state discrimination, and information-theoretic quantities.
Main Methods:
- Development of a resource theory framework for measurement informativeness.
- Definition of the robustness of measurement as a geometric quantifier.
- Analysis of the operational significance in state discrimination games.
- Establishing connections to accessible information for quantum-to-classical channels and ensembles.
Main Results:
- The robustness of measurement quantifies the noise tolerance of an informative measurement.
- This quantifier provides an advantage over random guessing in specific state discrimination tasks.
- It is shown to be the single-shot generalization of accessible information for quantum-to-classical channels.
- Connections are established between robustness of asymmetry/coherence and accessible information of ensembles.
Conclusions:
- The robustness of measurement offers a powerful tool for characterizing quantum measurement informativeness.
- This work unifies concepts in quantum measurement, state discrimination, and information theory.
- The findings have potential applications in quantum communication and computation by providing a robust measure of information transfer.
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