skip to main content

DOE PAGESDOE PAGES

This content will become publicly available on February 23, 2019

Title: A Future with Quantum Machine Learning

Could combining quantum computing and machine learning with Moore's law produce a true “rebooted computer”? Furthermore, this article posits that a three-technology hybrid-computing approach might yield sufficiently improved answers to a broad class of problems such that energy efficiency will no longer be the dominant concern.
Authors:
 [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Report Number(s):
SAND-2018-7015J
Journal ID: ISSN 0018-9162; 665271
Grant/Contract Number:
AC04-94AL85000
Type:
Accepted Manuscript
Journal Name:
Computer
Additional Journal Information:
Journal Volume: 51; Journal Issue: 2; Journal ID: ISSN 0018-9162
Publisher:
IEEE
Research Org:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org:
USDOE National Nuclear Security Administration (NNSA)
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; rebooting computing; machine learning; quantum computing; Moore’s law; energy efficiency; green computing; history of computing; future of computing
OSTI Identifier:
1459995

DeBenedictis, Erik P. A Future with Quantum Machine Learning. United States: N. p., Web. doi:10.1109/mc.2018.1451646.
DeBenedictis, Erik P. A Future with Quantum Machine Learning. United States. doi:10.1109/mc.2018.1451646.
DeBenedictis, Erik P. 2018. "A Future with Quantum Machine Learning". United States. doi:10.1109/mc.2018.1451646.
@article{osti_1459995,
title = {A Future with Quantum Machine Learning},
author = {DeBenedictis, Erik P.},
abstractNote = {Could combining quantum computing and machine learning with Moore's law produce a true “rebooted computer”? Furthermore, this article posits that a three-technology hybrid-computing approach might yield sufficiently improved answers to a broad class of problems such that energy efficiency will no longer be the dominant concern.},
doi = {10.1109/mc.2018.1451646},
journal = {Computer},
number = 2,
volume = 51,
place = {United States},
year = {2018},
month = {2}
}