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Title: OpenFlow arbitrated programmable network channels for managing quantum metadata

Abstract

Quantum networks must classically exchange complex metadata between devices in order to carry out information for protocols such as teleportation, super-dense coding, and quantum key distribution. Demonstrating the integration of these new communication methods with existing network protocols, channels, and data forwarding mechanisms remains an open challenge. Software-defined networking (SDN) offers robust and flexible strategies for managing diverse network devices and uses. We adapt the principles of SDN to the deployment of quantum networks, which are composed from unique devices that operate according to the laws of quantum mechanics. We show how quantum metadata can be managed within a software-defined network using the OpenFlow protocol, and we describe how OpenFlow management of classical optical channels is compatible with emerging quantum communication protocols. We next give an example specification of the metadata needed to manage and control quantum physical layer (QPHY) behavior and we extend the OpenFlow interface to accommodate this quantum metadata. Here, we conclude by discussing near-term experimental efforts that can realize SDN’s principles for quantum communication.

Authors:
 [1];  [2]
  1. U.S. Army Research Lab., Aberdeen Proving Ground, MD (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1357961
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Journal of Defense Modeling and Simulation
Additional Journal Information:
Journal Volume: 14; Journal ID: ISSN 1548-5129
Publisher:
Society for Modeling and Simulation International
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; quantum networks; quantum computing; software-defined networks; openflow

Citation Formats

Dasari, Venkat R., and Humble, Travis S. OpenFlow arbitrated programmable network channels for managing quantum metadata. United States: N. p., 2016. Web. doi:10.1177/1548512916661781.
Dasari, Venkat R., & Humble, Travis S. OpenFlow arbitrated programmable network channels for managing quantum metadata. United States. doi:10.1177/1548512916661781.
Dasari, Venkat R., and Humble, Travis S. Mon . "OpenFlow arbitrated programmable network channels for managing quantum metadata". United States. doi:10.1177/1548512916661781. https://www.osti.gov/servlets/purl/1357961.
@article{osti_1357961,
title = {OpenFlow arbitrated programmable network channels for managing quantum metadata},
author = {Dasari, Venkat R. and Humble, Travis S.},
abstractNote = {Quantum networks must classically exchange complex metadata between devices in order to carry out information for protocols such as teleportation, super-dense coding, and quantum key distribution. Demonstrating the integration of these new communication methods with existing network protocols, channels, and data forwarding mechanisms remains an open challenge. Software-defined networking (SDN) offers robust and flexible strategies for managing diverse network devices and uses. We adapt the principles of SDN to the deployment of quantum networks, which are composed from unique devices that operate according to the laws of quantum mechanics. We show how quantum metadata can be managed within a software-defined network using the OpenFlow protocol, and we describe how OpenFlow management of classical optical channels is compatible with emerging quantum communication protocols. We next give an example specification of the metadata needed to manage and control quantum physical layer (QPHY) behavior and we extend the OpenFlow interface to accommodate this quantum metadata. Here, we conclude by discussing near-term experimental efforts that can realize SDN’s principles for quantum communication.},
doi = {10.1177/1548512916661781},
journal = {Journal of Defense Modeling and Simulation},
issn = {1548-5129},
number = ,
volume = 14,
place = {United States},
year = {2016},
month = {10}
}

Journal Article:
Free Publicly Available Full Text
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