Simulating Cognition with Quantum Computers
Hongbin Wang, Jack W. Smith, Yanlong Sun

TL;DR
This paper proposes using quantum computation as a new mathematical framework to better model human cognition, addressing limitations of classical approaches and suggesting a potential realization in the brain.
Contribution
It introduces a quantum mind approach to simulate cognition, highlighting the need for advanced mathematics to handle non-commutativity in cognitive modeling.
Findings
Quantum computation may better model cognitive processes.
Classical models face limits due to non-commutativity.
A hypothesis for quantum computation in the brain is proposed.
Abstract
There are inherent limits in classical computation for it to serve as an adequate model of human cognition. In particular, non-commutativity, while ubiquitous in physics and psychology, cannot be sufficiently handled. We propose that we need a new mathematics that is capable of expressing more complex mathematical structures to tackle those hard X-problems in cognitive science. A quantum mind approach is advocated and we hypothesize a way in which quantum computation might be realized in the brain.
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Taxonomy
TopicsQuantum Mechanics and Applications · Quantum Computing Algorithms and Architecture · Computability, Logic, AI Algorithms
