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Quantum Networks for Open Science (QNOS) Workshop

Technical Report ·
DOI:https://doi.org/10.2172/1510580· OSTI ID:1510580
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9];  [10];  [11];  [12]
  1. Dept. of Energy (DOE), Washington DC (United States). Advanced Scientific Computing Research (ASCR)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. Qubitekk, Inc., Vista, CA (United States)
  4. Northwestern Univ., Evanston, IL (United States)
  5. Perspecta Labs, Basking Ridge, NJ (United States)
  6. Univ. of Arizona, Tucson, AZ (United States)
  7. MIT Lincoln Lab., Lexington, MA (United States)
  8. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  9. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  10. Brookhaven National Lab. (BNL), Upton, NY (United States)
  11. Univ. of Massachusetts, Amherst, MA (United States)
  12. Univ. of California, Davis, CA (United States)
+ Show Author Affiliations
Quantum computing systems currently being developed will have extraordinary capabilities to effectively solve complex problems in computational sciences, communication networks, artificial intelligence, and data processing, and will provide a powerful capability for researchers in almost every scientific discipline. Harnessing the full potential of quantum computing will require an ecosystem with a broad spectrum of quantum technologies. Quantum networks are one of the critical and highly anticipated components of this ecosystem. The combination of quantum computing and quantum networks are crucial to the US Department of Energy’s (DOE) mission to provide scientists with the state-of-the-art computational capabilities.
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC05-00OR22725
OSTI ID:
1510580
Report Number(s):
ORNL/SPR-2019/1118
Country of Publication:
United States
Language:
English

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97 MATHEMATICS AND COMPUTING