Brain-Computer Interfaces and Quantum Robots
Eliano Pessa, Paola zizzi

TL;DR
This paper proposes a quantum theoretical framework for brain-computer interfaces, suggesting that quantum coherence phenomena can better model mental intentions and enable a quantum cyborg concept where the human mind controls quantum computers.
Contribution
It introduces a dissipative Quantum Field Theory model of brain operation incorporating quantum metalanguage, advancing BCI technology beyond classical limitations.
Findings
Quantum coherence underpins high-level mental processes.
A quantum metalanguage can control quantum computational operations.
Enables conception of a Quantum Cyborg with human mind controlling quantum computers.
Abstract
The actual (classical) Brain-Computer Interface attempts to use brain signals to drive suitable actuators performing the actions corresponding to subject's intention. However this goal is not fully reached, and when BCI works, it does only in particular situations. The reason of this unsatisfactory result is that intention cannot be conceived simply as a set of classical input-output relationships. It is therefore necessary to resort to quantum theory, allowing the occurrence of stable coherence phenomena, in turn underlying high-level mental processes such as intentions and strategies. More precisely, within the context of a dissipative Quantum Field Theory of brain operation it is possible to introduce generalized coherent states associated, within the framework of logic, to the assertions of a quantum metalanguage. The latter controls the quantum-mechanical computing corresponding to…
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Taxonomy
TopicsEEG and Brain-Computer Interfaces · Quantum Mechanics and Applications · Quantum Computing Algorithms and Architecture
