In DepthU.S. Science Policy

Top Democrat wants big AI push

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Science  15 Nov 2019:
Vol. 366, Issue 6467, pp. 787
DOI: 10.1126/science.366.6467.787

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  • Risk of quantum artificial intelligence
    • Yuichi Hirata, Associate Professor, Hokkaido University, Central Institute of Isotope Science, Graduate School of Biomedical Science and Engineering

    The top Democrat in the U.S. Senate wants the government to invest in
    elements which don’t benefit a particular company, such as Artificial
    Intelligence (AI) safety provisions (1). There are two kinds of AI
    such as Classical AI (CAI) which is implemented in classical ordinary
    computer, and Quantum AI (QAI) which is implemented in quantum
    computer. In QAI, quantum mechanical artificial intelligence operator
    representing information processing of QAI acts on an input quantum
    state representing input data including learning data for QAI to
    produce new output quantum state representing output data of QAI. QAI
    has dual structure of two kinds of main uncertainties such as
    uncertainties of the input data and the information processing which
    are also possessed with CAI, and quantum mechanical uncertainties of
    quantum mechanical measurements of the output quantum state to measure
    the output data which are specific to quantum mechanical effects to be
    characteristics of QAI. Such quantum mechanical uncertainties caused
    by fundamental limitations of quantum mechanical measurements may
    possibly bring non-deterministic, random, stochastic, and non-logical
    natures of QAI. Such specific natures of QAI which can’t be brought by
    logically programmed classical computer software implemented in CAI
    may originate additional specific risk of QAI. For example, QAI may
    solve prob...

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    Competing Interests: None declared.

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