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Generalised quantum Sanov theorem revisited

Ludovico Lami

TL;DR

This work generalises quantum hypothesis testing by deriving a comprehensive formula for the Stein exponent when the null hypothesis is a general, weakly constrained set and the alternative is either composite i.i.d. or arbitrarily varying from a base set. The authors achieve a quantum-to-classical reduction via minimax measurements and leverage classical doubly-classical Stein results together with new quantum techniques to obtain a regularised, two-sided expression for the exponent. They prove a central result, Theorem "stronger_genq_Sanov_thm", and derive consequential corollaries for entanglement (SEP) and magic (STAB) testing, along with refinements for composite i.i.d. and arbitrarily varying hypotheses (Theorem "q_both_composite_iid_or_av_thm"). While the general formula involves regularisation, the work also clarifies the equivalence between arbitrarily varying and convex-hull composite i.i.d. models and highlights the broader operational relevance to resource testing in quantum information. Overall, the paper extends and simplifies previous generalised quantum Sanov results and provides a robust framework for analysing Stein exponents in highly general, physically relevant quantum-hypothesis-testing scenarios.

Abstract

Given two families of quantum states $A$ and $B$, called the null and the alternative hypotheses, quantum hypothesis testing is the task of determining whether an unknown quantum state belongs to $A$ or $B$. Mistaking $A$ for $B$ is a type I error, and vice versa for the type II error. In quantum Shannon theory, a fundamental role is played by the Stein exponent, i.e. the asymptotic rate of decay of the type II error probability for a given threshold on the type I error probability. Stein exponents have been thoroughly investigated -- and, sometimes, calculated. However, most currently available solutions apply to settings where the hypotheses simple (i.e. composed of a single state), or else the families $A$ and $B$ need to satisfy stringent constraints that exclude physically important sets of states, such as separable states or stabiliser states. In this work, we establish a general formula for the Stein exponent where both hypotheses are allowed to be composite: the alternative hypothesis $B$ is assumed to be either composite i.i.d. or arbitrarily varying, with components taken from a known base set, while the null hypothesis $A$ is fully general, and required to satisfy only weak compatibility assumptions that are met in most physically relevant cases -- for instance, by the sets of separable or stabiliser states. Our result extends and subsumes the findings of [BBH, CMP 385:55, 2021] (that we also simplify), as well as the 'generalised quantum Sanov theorem' of [LBR, arXiv:2408.07067]. The proof relies on a careful quantum-to-classical reduction via measurements, followed by an application of the results on classical Stein exponents obtained in [Lami, arXiv:today]. We also devise new purely quantum techniques to analyse the resulting asymptotic expressions.

Generalised quantum Sanov theorem revisited

TL;DR

This work generalises quantum hypothesis testing by deriving a comprehensive formula for the Stein exponent when the null hypothesis is a general, weakly constrained set and the alternative is either composite i.i.d. or arbitrarily varying from a base set. The authors achieve a quantum-to-classical reduction via minimax measurements and leverage classical doubly-classical Stein results together with new quantum techniques to obtain a regularised, two-sided expression for the exponent. They prove a central result, Theorem "stronger_genq_Sanov_thm", and derive consequential corollaries for entanglement (SEP) and magic (STAB) testing, along with refinements for composite i.i.d. and arbitrarily varying hypotheses (Theorem "q_both_composite_iid_or_av_thm"). While the general formula involves regularisation, the work also clarifies the equivalence between arbitrarily varying and convex-hull composite i.i.d. models and highlights the broader operational relevance to resource testing in quantum information. Overall, the paper extends and simplifies previous generalised quantum Sanov results and provides a robust framework for analysing Stein exponents in highly general, physically relevant quantum-hypothesis-testing scenarios.

Abstract

Given two families of quantum states and , called the null and the alternative hypotheses, quantum hypothesis testing is the task of determining whether an unknown quantum state belongs to or . Mistaking for is a type I error, and vice versa for the type II error. In quantum Shannon theory, a fundamental role is played by the Stein exponent, i.e. the asymptotic rate of decay of the type II error probability for a given threshold on the type I error probability. Stein exponents have been thoroughly investigated -- and, sometimes, calculated. However, most currently available solutions apply to settings where the hypotheses simple (i.e. composed of a single state), or else the families and need to satisfy stringent constraints that exclude physically important sets of states, such as separable states or stabiliser states. In this work, we establish a general formula for the Stein exponent where both hypotheses are allowed to be composite: the alternative hypothesis is assumed to be either composite i.i.d. or arbitrarily varying, with components taken from a known base set, while the null hypothesis is fully general, and required to satisfy only weak compatibility assumptions that are met in most physically relevant cases -- for instance, by the sets of separable or stabiliser states. Our result extends and subsumes the findings of [BBH, CMP 385:55, 2021] (that we also simplify), as well as the 'generalised quantum Sanov theorem' of [LBR, arXiv:2408.07067]. The proof relies on a careful quantum-to-classical reduction via measurements, followed by an application of the results on classical Stein exponents obtained in [Lami, arXiv:today]. We also devise new purely quantum techniques to analyse the resulting asymptotic expressions.

Paper Structure

This paper contains 11 sections, 11 theorems, 111 equations, 1 table.

Key Result

Theorem 1

Let $\pazocal{H}$ be a finite-dimensional Hilbert space, $\pazocal{A} = (\pazocal{A}_n)_n$ a sequence of sets $\pazocal{A}_n\subseteq \mathcal{D}(\pazocal{H}^{\otimes n})$, and $\pazocal{B}_1\subseteq \mathcal{D}(\pazocal{H})$ a non-empty and topologically closed set of states on $\pazocal{H}$. Assu where $\pazocal{P}(\pazocal{B}_1)$ denotes the set of all probability measuresThat is, the set of a

Theorems & Definitions (20)

  • Theorem 1: (Generalised quantum Sanov theorem revisited)
  • Corollary 2
  • Theorem 3
  • Corollary 4
  • Lemma 5
  • proof
  • Lemma 6
  • Proposition 7
  • proof
  • Lemma 8
  • ...and 10 more