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Perspective

Quantum Brain Networks: A Perspective

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Interdisciplinary Centre for Computer Music Research (ICCMR), University of Plymouth, Plymouth PL4 8AA, UK
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Intelligent Data Analysis Laboratory (IDAL), Departament d’Enginyeria Electrònica—ETSE, Universitat de València, 46100 Valencia, Spain
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Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Seville, Spain
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International Center of Quantum Artificial Intelligence for Science and Technology (QuArtist) and Physics Department, Shanghai University, Shanghai 200444, China
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IKERBASQUE, Basque Foundation for Science, 48009 Bilbao, Spain
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Kipu Quantum, 80804 Munich, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Durdu Guney
Electronics 2022, 11(10), 1528; https://doi.org/10.3390/electronics11101528
Received: 5 April 2022 / Revised: 6 May 2022 / Accepted: 10 May 2022 / Published: 11 May 2022
(This article belongs to the Section Quantum Electronics)
We propose Quantum Brain Networks (QBraiNs) as a new interdisciplinary field integrating knowledge and methods from neurotechnology, artificial intelligence, and quantum computing. The objective is to develop an enhanced connectivity between the human brain and quantum computers for a variety of disruptive applications. We foresee the emergence of hybrid classical-quantum networks of wetware and hardware nodes, mediated by machine learning techniques and brain–machine interfaces. QBraiNs will harness and transform in unprecedented ways arts, science, technologies, and entrepreneurship, in particular activities related to medicine, Internet of Humans, intelligent devices, sensorial experience, gaming, Internet of Things, crypto trading, and business. View Full-Text
Keywords: neurotechnology; quantum computing; human–computer interaction; artificial intelligence; brain networks neurotechnology; quantum computing; human–computer interaction; artificial intelligence; brain networks
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MDPI and ACS Style

Miranda, E.R.; Martín-Guerrero, J.D.; Venkatesh, S.; Hernani-Morales, C.; Lamata, L.; Solano, E. Quantum Brain Networks: A Perspective. Electronics 2022, 11, 1528. https://doi.org/10.3390/electronics11101528

AMA Style

Miranda ER, Martín-Guerrero JD, Venkatesh S, Hernani-Morales C, Lamata L, Solano E. Quantum Brain Networks: A Perspective. Electronics. 2022; 11(10):1528. https://doi.org/10.3390/electronics11101528

Chicago/Turabian Style

Miranda, Eduardo R., José D. Martín-Guerrero, Satvik Venkatesh, Carlos Hernani-Morales, Lucas Lamata, and Enrique Solano. 2022. "Quantum Brain Networks: A Perspective" Electronics 11, no. 10: 1528. https://doi.org/10.3390/electronics11101528

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