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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
Realistic neurons can compute the operations needed by quantum probability theory and other vector symbolic
Terrence C Stewart1, Chris Eliasmith
1Centre for Theoretical Neuroscience, University of Waterloo, Waterloo, ON N2L 3G1, Canada. tcstewar@uwaterloo.ca
Abstract:
Quantum probability (QP) theory can be seen as a type of vector symbolic architecture (VSA): mental states are vectors storing structured information and manipulated using algebraic operations. Furthermore, the operations needed by QP match those in other VSAs. This allows existing biologically realistic neural models to be adapted to provide a mechanistic explanation of the cognitive phenomena described in the target article by Pothos & Busemeyer (P&B).
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