Kavan Modi - Capturing long-range memory structures with tree-geometry process tensors

Capturing long-range memory structures with tree-geometry process tensors

Ce séminaire, donné par Kavan Modi, aura lieu le 24 November 2025, à 13:0. Il aura lieu en salle Not specified.

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Résumé

We introduce a class of quantum non-Markovian processes—dubbed process trees—that exhibit polynomially decaying temporal correlations and memory distributed across timescales. This class of processes is described by a tensor network with treelike geometry whose component tensors are (1) causality-preserving maps (superprocesses) and (2) locality-preserving temporal change-of-scale transformations. We show that the long-range correlations in this class of processes Reference: N Dowling, K Modi, RN Muñoz, S Singh, GAL White. Physical Review X 14, 041018 (2024) All the best, Marco – Marco Túlio Quintino (he/him) Associate professor (Maître de conférences [HDR])Sorbonne University, CNRS, LIP6 Paris, France https://mtcq.github.io/