Quantum Hypothesis Testing with Group Structure
Zane M. Rossi, Isaac L. Chuang

TL;DR
This paper introduces novel quantum algorithms for hypothesis testing of quantum channels with group structure, leveraging algebraic properties to improve efficiency over naive methods, with potential applications in cryptography and quantum information.
Contribution
The paper develops a new family of quantum algorithms for hypothesis testing of channels with finite group structure, utilizing quantum signal processing and algebraic techniques.
Findings
Algorithms achieve at least quadratic query complexity improvement.
Explicit group homomorphisms determine performance and constraints.
Techniques map quantum inference problems to algebraic and functional approximation fields.
Abstract
The problem of discriminating between many quantum channels with certainty is analyzed under the assumption of prior knowledge of algebraic relations among possible channels. It is shown, by explicit construction of a novel family of quantum algorithms, that when the set of possible channels faithfully represents a finite subgroup of SU(2) (e.g., ) the recently-developed techniques of quantum signal processing can be modified to constitute subroutines for quantum hypothesis testing. These algorithms, for group quantum hypothesis testing (G-QHT), intuitively encode discrete properties of the channel set in SU(2) and improve query complexity at least quadratically in , the size of the channel set and group, compared to na\"ive repetition of binary hypothesis testing. Intriguingly, performance is completely defined by explicit group homomorphisms; these in…
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