
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.
Quantum Physics, Condensed Matter - Mesoscale and Nanoscale Physics, FOS: Physical sciences, brain networks, quantum computing, Nonlinear Sciences - Adaptation and Self-Organizing Systems, artificial intelli-gence, human–computer interaction, Mesoscale and Nanoscale Physics (cond-mat.mes-hall), neurotechnology, Quantum Physics (quant-ph), Adaptation and Self-Organizing Systems (nlin.AO)
Quantum Physics, Condensed Matter - Mesoscale and Nanoscale Physics, FOS: Physical sciences, brain networks, quantum computing, Nonlinear Sciences - Adaptation and Self-Organizing Systems, artificial intelli-gence, human–computer interaction, Mesoscale and Nanoscale Physics (cond-mat.mes-hall), neurotechnology, Quantum Physics (quant-ph), Adaptation and Self-Organizing Systems (nlin.AO)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
