Artificial Intelligence Computing at the Quantum Level

Olawale Ayoade, Pablo Rivas and Javier Orduz
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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

Data, 2022, vol. 7, issue 3, 1-16

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.

Keywords: quantum computing; quantum artificial intelligence; quantum information (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2022
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