aiqbench analysis
This research establishes a Perron-Frobenius type theory for random quantum channels within ergodic stochastic processes, unifying frameworks for i.i.d., Markovian, and periodic models. By characterizing irreducibility in these systems, the authors derive general ergodic theorems that refine existing understanding of quantum channel products. The work provides foundational mathematical tools essential for analyzing long-term behavior in complex quantum dynamical systems.
Reducibility Theory and Ergodic Theorems for Ergodic Quantum Processes
arXiv:2406.10982v3 Announce Type: replace Abstract: We develop a Perron-Frobenius type theory for products of random quantum channels acting on finite-dimensional matrix algebras sampled from a stationary and ergodic stochastic process, which, in keeping with the literature, we call ergodic quantum processes. This serves as a unifying framework for many models, including i.i.d., Markovian, periodic, and quasiperiodic models. We establish various characterizations of irreducibility, from which we recover a number of general ergodic theorems. We then analyze some specific examples, and, in particular, give a refinement of our theory in the i.i.d. case.
Abstract:We develop a Perron-Frobenius type theory for products of random quantum channels acting on finite-dimensional matrix algebras sampled from a stationary and ergodic stochastic process, which, in keeping with the literature, we call ergodic quantum processes. This serves as a unifying framework for many models, including i.i.d., Markovian, periodic, and quasiperiodic models. We establish various characterizations of irreducibility, from which we recover a number of general ergodic theorems. We then analyze some specific examples, and, in particular, give a refinement of our theory in the i.i.d. case.
31 pages; supported by National Science Foundation Grant No. 2153946; v.3 has reworked proofs
arXiv:2406.10982 [quant-ph]
(or arXiv:2406.10982v3 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2406.10982 Focus to learn more arXiv-issued DOI via DataCite
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Full text under the publisher's open licence · 190 words
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