Simulating quantum light propagation through atomic ensembles using matrix product states
Marco T. Manzoni,
Darrick E. Chang and
James S. Douglas ()
Additional contact information
Marco T. Manzoni: ICFO-Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology
Darrick E. Chang: ICFO-Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology
James S. Douglas: ICFO-Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology
Nature Communications, 2017, vol. 8, issue 1, 1-11
Abstract:
Abstract A powerful method to interface quantum light with matter is to propagate the light through an ensemble of atoms. Recently, a number of such interfaces have emerged, most prominently Rydberg ensembles, that enable strong nonlinear interactions between propagating photons. A largely open problem is whether these systems produce exotic many-body states of light and developing new tools to study propagation in the large photon number limit is highly desirable. Here we provide a method based on a “spin model” that maps quasi one-dimensional (1D) light propagation to the dynamics of an open 1D interacting spin system, where all photon correlations are obtained from those of the spins. The spin dynamics in turn are numerically solved using the toolbox of matrix product states. We apply this formalism to investigate vacuum induced transparency, wherein the different photon number components of a pulse propagate with number-dependent group velocity and separate at output.
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/s41467-017-01416-4 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-01416-4
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-017-01416-4
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().