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Artificial Intelligence Computing at the Quantum Level

1
Department of Physics, Baylor University, One Bear Place #97316, Waco, TX 76706, USA
2
Department of Computer Science, Baylor University, One Bear Place #97141, Waco, TX 76712, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Pufeng Du and Jialin Zhang
Received: 30 December 2021 / Revised: 13 February 2022 / Accepted: 21 February 2022 / Published: 25 February 2022
(This article belongs to the Special Issue Data Processing in Quantum Computing)
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. View Full-Text
Keywords: quantum computing; quantum artificial intelligence; quantum information quantum computing; quantum artificial intelligence; quantum information
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MDPI and ACS Style

Ayoade, O.; Rivas, P.; Orduz, J. Artificial Intelligence Computing at the Quantum Level. Data 2022, 7, 28. https://doi.org/10.3390/data7030028

AMA Style

Ayoade O, Rivas P, Orduz J. Artificial Intelligence Computing at the Quantum Level. Data. 2022; 7(3):28. https://doi.org/10.3390/data7030028

Chicago/Turabian Style

Ayoade, Olawale, Pablo Rivas, and Javier Orduz. 2022. "Artificial Intelligence Computing at the Quantum Level" Data 7, no. 3: 28. https://doi.org/10.3390/data7030028

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