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quant-ph2026
Unifying quantum measurement constructions via a relative-entropy minimum change principle
Nana Liu, Mark M. Wilde
The minimum change principle provides an information-theoretic characterization of the Bayes reversal channel in classical probability theory and has recently been proposed as a fr…
quant-ph2026
Fermi-Dirac thermal measurements: A framework for quantum hypothesis testing and semidefinite optimization
Nana Liu, Mark M. Wilde
Quantum measurements are the means by which we recover messages encoded into quantum states. They are at the forefront of quantum hypothesis testing, wherein the goal is to perform…
quant-ph2026
Fundamental questions on robustness and accuracy for classical and quantum learning algorithms
Nana Liu
This chapter introduces and investigates some fundamental questions on the relationship between accuracy and robustness in both classical and quantum classification algorithms unde…