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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