• Accepted Paper

Quantifying multitime memory in sequential measurement statistics through violations of the quantum regression theorem

Paolo Luppi, Claudia Benedetti, and Andrea Smirne

Phys. Rev. A - Accepted 20 October, 2026

DOI: https://doi.org/10.1103/ssf1-j2j8

Abstract

We investigate the presence of memory in the sequential measurement statistics of an open quantum system, as witnessed by the departure from the quantum regression theorem (QRT), that is, the possibility to predict multitime probabilities from one-time reduced dynamical maps. For factorized initial states, we identify an exact decomposition of the two-time propagator into a QRT-like contribution, fully determined by the reduced dynamical map, and a memory term encoding system-environment correlations across the intervention. In the weak-coupling regime, the memory term yields an explicit second-order correction expressed in terms of the reduced map and bath correlation functions. Furthermore, we introduce an operational quantifier of QRT violations based on the distance between exact and QRT-predicted joint probabilities. Benchmarking the framework on a spin–boson model and using a pseudomode embedding as nonperturbative reference, we comprehensively analyze the impact of spectral-density parameters, environmental temperature, and measurement protocols on the non-Markovianity of the multitime statistics. Comparison with a one-time witness shows that reduced-state non-Markovianity and multitime memory are related but inequivalent: the latter, as probed through sequential statistics, is intrinsically protocol dependent and can become visible at higher temporal orders even when two-time statistics remain compatible with QRT predictions.

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