A Future with Quantum Machine Learning

DeBenedictis, Erik P.

doi:10.1109/mc.2018.1451646

Title: A Future with Quantum Machine Learning

Abstract

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:

DeBenedictis, Erik P. ^[1]

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

Publication Date:: 2018-02-23

Research Org.:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org.:: USDOE National Nuclear Security Administration (NNSA)

OSTI Identifier:: 1459995

Report Number(s):: SAND-2018-7015J
Journal ID: ISSN 0018-9162; 665271

Grant/Contract Number:: AC04-94AL85000

Resource Type:: Accepted Manuscript

Journal Name:: Computer

Additional Journal Information:: Journal Volume: 51; Journal Issue: 2; Journal ID: ISSN 0018-9162

Publisher:: IEEE

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

Citation Formats


                    DeBenedictis, Erik P. A Future with Quantum Machine Learning.  United States: N. p., 2018. 
Web.  doi:10.1109/mc.2018.1451646.

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                    DeBenedictis, Erik P. A Future with Quantum Machine Learning.  United States.  https://doi.org/10.1109/mc.2018.1451646

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                    DeBenedictis, Erik P. Fri .  
"A Future with Quantum Machine Learning".  United States.  https://doi.org/10.1109/mc.2018.1451646.  https://www.osti.gov/servlets/purl/1459995.

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@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}

}

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Journal Article:

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https://doi.org/10.1109/mc.2018.1451646

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Figures / Tables:

Figure 1: Optimization involves finding the lowest point on a potential energy curve (blue), which is Death Valley even though most water flows to the oceans. Classical optimization (orange) works like raindrops flowing downhill, but simulated annealing allows limited uphill movement (purple). However, quantum computer optimization can use a quantummore »

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