Bi-Entangled Hidden Markov Processes and Recurrence
Soueidi El Gheteb

TL;DR
This paper introduces Bi-entangled hidden Markov processes, exploring their quantum entanglement properties, recurrence behavior, and how restricting to certain subalgebras recovers classical Markov processes.
Contribution
It defines Bi-entangled hidden Markov processes, provides a joint expectation formula, and analyzes their recurrence and classical reduction within quantum frameworks.
Findings
Joint expectation formula for Bi-entangled processes
Recurrence properties of quantum Markov processes
Reduction to classical Markov processes via commutative subalgebras
Abstract
In this paper, we introduce the notion of Bi-entangled hidden Markov processes. These are hidden quantum processes where the hidden processes themselves exhibit entangled Markov process, and the observable processes also exhibit entanglement. We present a specific formula for the joint expectation of these processes. Furthermore, we discuss the recurrence of the underlying quantum Markov processes associated to the Bi-entangled hidden Markov processes and we establish that, by restricting them within suitable commutative subalgebras (diagonal subalgebras) leads to the recovery of Markov processes defined by the hidden stochastic matrix. In this paper we only deal with processes with an at most countable state space.
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Taxonomy
TopicsNetwork Security and Intrusion Detection · Natural Language Processing Techniques
