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Artificial Intelligence Computing at the Quantum Level

Author

Listed:
  • Olawale Ayoade

    (Department of Physics, Baylor University, One Bear Place #97316, Waco, TX 76706, USA)

  • Pablo Rivas

    (Department of Computer Science, Baylor University, One Bear Place #97141, Waco, TX 76712, USA)

  • Javier Orduz

    (Department of Computer Science, Baylor University, One Bear Place #97141, Waco, TX 76712, USA)

Abstract

The extraordinary advance in quantum computation leads us to believe that, in the not-too-distant future, quantum systems will surpass classical systems. Moreover, the field’s rapid growth has resulted in the development of many critical tools, including programmable machines (quantum computers) that execute quantum algorithms and the burgeoning field of quantum machine learning, which investigates the possibility of faster computation than traditional machine learning. In this paper, we provide a thorough examination of quantum computing from the perspective of a physicist. The purpose is to give laypeople and scientists a broad but in-depth understanding of the area. We also recommend charts that summarize the field’s diversions to put the whole field into context.

Suggested Citation

  • Olawale Ayoade & Pablo Rivas & Javier Orduz, 2022. "Artificial Intelligence Computing at the Quantum Level," Data, MDPI, vol. 7(3), pages 1-16, February.
    • Handle: RePEc:gam:jdataj:v:7:y:2022:i:3:p:28-:d:759196
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    References listed on IDEAS

    as
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