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Title: Reducing Binary Quadratic Forms for More Scalable Quantum Annealing

Authors:
 [1]; ORCiD logo [2]
  1. University of Lancaster
  2. Los Alamos National Laboratory
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1481103
Report Number(s):
LA-UR-17-27401
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Conference
Resource Relation:
Conference: IEEE International Conference on Rebooting Computing ; 2017-11-08 - 2017-11-08 ; Washington, District Of Columbia, United States
Country of Publication:
United States
Language:
English
Subject:
Computer Science; Mathematics

Citation Formats

Hahn, Georg, and Djidjev, Hristo Nikolov. Reducing Binary Quadratic Forms for More Scalable Quantum Annealing. United States: N. p., 2018. Web. doi:10.1109/ICRC.2017.8123654.
Hahn, Georg, & Djidjev, Hristo Nikolov. Reducing Binary Quadratic Forms for More Scalable Quantum Annealing. United States. doi:10.1109/ICRC.2017.8123654.
Hahn, Georg, and Djidjev, Hristo Nikolov. Wed . "Reducing Binary Quadratic Forms for More Scalable Quantum Annealing". United States. doi:10.1109/ICRC.2017.8123654. https://www.osti.gov/servlets/purl/1481103.
@article{osti_1481103,
title = {Reducing Binary Quadratic Forms for More Scalable Quantum Annealing},
author = {Hahn, Georg and Djidjev, Hristo Nikolov},
abstractNote = {},
doi = {10.1109/ICRC.2017.8123654},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {10}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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