Two-particle quantum correlations in stochastically-coupled networks

Roberto J. De León-Montiel, Vicenç Méndez, Mario A. Quiroz-Juárez, Adrian Ortega, Luis Benet, Armando Perez-Leija, Kurt Busch

Research output: Contribution to journalArticleResearch

Abstract

© 2019 The Author(s). Published by IOP Publishing Ltd on behalf of the Institute of Physics and Deutsche Physikalische Gesellschaft. Quantum walks in dynamically-disordered networks have become an invaluable tool for understanding the physics of open quantum systems. Although much work has been carried out considering networks affected by diagonal disorder, it is of fundamental importance to study the effects of fluctuating couplings. This is particularly relevant in materials science models, where the interaction forces may change depending on the species of the atoms being linked. In this work, we make use of stochastic calculus to derive a master equation for the dynamics of one and two non-interacting correlated particles in tight-binding networks affected by off-diagonal dynamical disorder. We show that the presence of noise in the couplings of a quantum network creates a pure-dephasing-like process that destroys all coherences in the single-particle Hilbert subspace. Moreover, we show that when two or more correlated particles propagate in the network, coherences accounting for particle indistinguishability are robust against the impact of off-diagonal noise, thus showing that it is possible, in principle, to find specific conditions for which many indistinguishable particles can traverse stochastically-coupled networks without losing their ability to interfere.
Original languageEnglish
Article number053041
JournalNew Journal of Physics
Volume21
DOIs
Publication statusPublished - 29 May 2019

Keywords

  • Many-particle quantum correlations
  • off-diagonal dynamical disorder
  • quantum networks

Fingerprint Dive into the research topics of 'Two-particle quantum correlations in stochastically-coupled networks'. Together they form a unique fingerprint.

Cite this