Entropy Measures for Transition Matrices in Random Systems

TL;DR

This paper compares four entropy measures for quantum transition matrices, revealing that ABB entropy uniquely aligns with entanglement success probability and behaves consistently under quantum operations across various random quantum systems.

Contribution

It introduces and analyzes four entropy definitions for quantum transition matrices, highlighting the unique probabilistic interpretation and behavior of ABB entropy in quantum systems.

Findings

ABB entropy corresponds to entanglement distillation success probability.

SVD and ABB entropies mirror subsystem entanglement entropy behavior.

Pseudo entropy can exceed subsystem bounds and take complex values.

Abstract

A transition matrix can be constructed through the partial contraction of two given quantum states. We analyze and compare four different definitions of entropy for transition matrices, including (modified) pseudo entropy, SVD entropy, and ABB entropy. We examine the probabilistic interpretation of each entropy measure and show that only the distillation interpretation of ABB entropy corresponds to the joint success probability of distilling entanglement between the two quantum states used to construct the transition matrix. Combining the transition matrix with preceding measurements and subsequent non-unitary operations, the ABB entropy either decreases or remains unchanged, whereas the pseudo-entropy and SVD entropy may increase or decrease. We further apply these entropy measures to transition matrices constructed from several ensembles: (i) pairs of independent Haar-random states; (ii) bi-orthogonal eigenstates of non-Hermitian random systems; and (iii) bi-orthogonal states in $PT$-symmetric systems near their exceptional points. Across all cases considered, the SVD and ABB entropies of the transition matrix closely mirror the behavior of the subsystem entanglement entropy of a single random state, in contrast to the (modified) pseudo entropy, which can exceed the bound of subsystem size, fail to scale with system size, or even take complex values.