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Title: Quantum Information Processing in the Frequency Domain

Abstract

Quantum technologies promise to revolutionize information processing through dramatic computational speed-ups and ultimate security compared with classical counterparts. As matter-based qubit systems increase in size, however, counteracting decoherence becomes challenging and places limits on how large a stand-alone system can be. These limitations, coupled with the many quantum computing platforms under development, have led researchers to view modular architectures, connected by a quantum network, as a promising path to large-scale quantum computing. Our group reported in several studies this year, progress on multiple fronts in such systems, using photons as quantum information carriers in the frequency domain.

Authors:
 [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1]; ORCiD logo [2]; ORCiD logo [2]; ORCiD logo [2]; ORCiD logo [2];  [3]
  1. Purdue Univ., West Lafayette, IN (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. Purdue Univ., West Lafayette, IN (United States); Univ. Tecnológica de Pereira, Risaralda (Colombia)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1606765
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Optics and Photonics News
Additional Journal Information:
Journal Volume: 30; Journal Issue: 11; Related Information: https://www.osa-opn.org/home/articles/volume_30/december_2019/features/optics_in_2019/; Journal ID: ISSN 1047-6938
Publisher:
Optical Society of America
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Lu, Hsuan-Hao, Imany, Poolad, Lingaraju, Navin B., Alshaykh, Mohammed S., Odele, Ogaga D., Moore, Alexandria J., Leaird, Daniel E., Qi, Minghao, Weiner, Andrew M., Lukens, Joseph, Williams, Brian, Peters, Nicholas, Lougovski, Pavel, and Jaramillo-Villegas, Jose A.. Quantum Information Processing in the Frequency Domain. United States: N. p., 2019. Web.
Lu, Hsuan-Hao, Imany, Poolad, Lingaraju, Navin B., Alshaykh, Mohammed S., Odele, Ogaga D., Moore, Alexandria J., Leaird, Daniel E., Qi, Minghao, Weiner, Andrew M., Lukens, Joseph, Williams, Brian, Peters, Nicholas, Lougovski, Pavel, & Jaramillo-Villegas, Jose A.. Quantum Information Processing in the Frequency Domain. United States.
Lu, Hsuan-Hao, Imany, Poolad, Lingaraju, Navin B., Alshaykh, Mohammed S., Odele, Ogaga D., Moore, Alexandria J., Leaird, Daniel E., Qi, Minghao, Weiner, Andrew M., Lukens, Joseph, Williams, Brian, Peters, Nicholas, Lougovski, Pavel, and Jaramillo-Villegas, Jose A.. Sun . "Quantum Information Processing in the Frequency Domain". United States. https://www.osti.gov/servlets/purl/1606765.
@article{osti_1606765,
title = {Quantum Information Processing in the Frequency Domain},
author = {Lu, Hsuan-Hao and Imany, Poolad and Lingaraju, Navin B. and Alshaykh, Mohammed S. and Odele, Ogaga D. and Moore, Alexandria J. and Leaird, Daniel E. and Qi, Minghao and Weiner, Andrew M. and Lukens, Joseph and Williams, Brian and Peters, Nicholas and Lougovski, Pavel and Jaramillo-Villegas, Jose A.},
abstractNote = {Quantum technologies promise to revolutionize information processing through dramatic computational speed-ups and ultimate security compared with classical counterparts. As matter-based qubit systems increase in size, however, counteracting decoherence becomes challenging and places limits on how large a stand-alone system can be. These limitations, coupled with the many quantum computing platforms under development, have led researchers to view modular architectures, connected by a quantum network, as a promising path to large-scale quantum computing. Our group reported in several studies this year, progress on multiple fronts in such systems, using photons as quantum information carriers in the frequency domain.},
doi = {},
journal = {Optics and Photonics News},
number = 11,
volume = 30,
place = {United States},
year = {2019},
month = {12}
}

Journal Article:
Free Publicly Available Full Text
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