A Future with Quantum Machine Learning

Journal Article · 23 February 2018 · Computer

DOI: https://doi.org/10.1109/mc.2018.1451646 · OSTI ID:1459995

DeBenedictis, Erik P. ^[1]

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1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

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.

• Research Organization: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• Grant/Contract Number: AC04-94AL85000
• OSTI ID: 1459995
• Report Number(s): SAND-2018-7015J; 665271
• Journal Information: Computer, Vol. 51, Issue 2; ISSN 0018-9162
• Publisher: IEEECopyright Statement
• Country of Publication: United States
• Language: English