Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published December 2006 | Supplemental Material + Submitted
Journal Article Open

Conditional control of the quantum states of remote atomic memories for quantum networking

Abstract

Quantum networks hold the promise for revolutionary advances in information processing with quantum resources distributed over remote locations via quantum-repeater architectures. Quantum networks are composed of nodes for storing and processing quantum states, and of channels for transmitting states between them. The scalability of such networks relies critically on the ability to carry out conditional operations on states stored in separated quantum memories. Here, we report the first implementation of such conditional control of two atomic memories, located in distinct apparatuses, which results in a 28-fold increase of the probability of simultaneously obtaining a pair of single photons, relative to the case without conditional control. As a first application, we demonstrate a high degree of indistinguishability for remotely generated single photons by the observation of destructive interference of their wave packets. Our results demonstrate experimentally a basic principle for enabling scalable quantum networks, with applications also to linear optics quantum computation.

Additional Information

© 2006 Nature Publishing Group. Received 1 August 2006; accepted 9 October 2006; published 29 October 2006. This research is supported by the Disruptive Technologies Office (DTO) and by the National Science Foundation. J.L. acknowledges financial support from the European Union (Marie Curie fellowship). D.F. acknowledges financial support by CNPq (Brazilian agency). Correspondence and requests for materials should be addressed to H.J.K. Supplementary Information accompanies this paper on www.nature.com/naturephysics.

Attached Files

Submitted - 0609191.pdf

Supplemental Material - nphys450-s1.pdf

Files

nphys450-s1.pdf
Files (584.8 kB)
Name Size Download all
md5:846e6ab37c3e2e2466b4b64ead369d61
163.8 kB Preview Download
md5:dc9dbfa9871222eb53bb7f3605bafb5a
421.0 kB Preview Download

Additional details

Created:
August 19, 2023
Modified:
October 23, 2023