TY - JOUR
T1 - Quantum Brain Networks: A Perspective
AU - Miranda, Eduardo R.
AU - Martín-Guerrero, José D.
AU - Venkatesh, Satvik
AU - Hernani-Morales, Carlos
AU - Lamata, Lucas
AU - Solano, Enrique
PY - 2022/5/11
Y1 - 2022/5/11
N2 - 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.
AB - 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.
UR - https://pearl.plymouth.ac.uk/context/ada-research/article/1128/viewcontent/electronics_11_01528.pdf
U2 - 10.3390/electronics11101528
DO - 10.3390/electronics11101528
M3 - Article
SN - 2079-9292
VL - 11
JO - Electronics
JF - Electronics
IS - 10
ER -