Quantum Brain Networks: a Perspective
arXiv:2106.12295 · doi:10.3390/electronics11101528
Abstract
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.
arXiv commentFour pages and 1 Figure
References in corpus (16)
- Many-Body Physics with Ultracold Gases
- Supplementary information for "Quantum supremacy using a programmable superconducting processor"
- Quantum Machine Learning
- Quantum Simulation
- Spins in few-electron quantum dots
- Photonic quantum technologies
- Circuit Quantum Electrodynamics
- Quantum computational chemistry
- NMR Techniques for Quantum Control and Computation
- Information and Computation: Classical and Quantum Aspects
- Quantum Artificial Life in an IBM Quantum Computer
- Quantum Memristors
- Preferences in Quantum Games
- On Interfacing the Brain with Quantum Computers: An Approach to Listen to the Logic of the Mind
- An approach to interfacing the brain with quantum computers: practical steps and caveats
- Partitions of Correlated N-Qubit Systems