Quantum Circuit Components for Cognitive Decision-Making
Dominic Widdows, Jyoti Rani, Emmanuel Pothos

TL;DR
This paper explores how quantum circuits can model complex human decision-making behaviors that violate classical probability, leveraging quantum properties like superposition and entanglement to simulate cognitive processes.
Contribution
It develops quantum circuit representations for cognitive models, enabling implementation of order effects and decision-making under uncertainty on quantum hardware.
Findings
Quantum models can simulate order effects in surveys.
Quantum circuits successfully represent decision-making under uncertainty.
Quantum properties facilitate modeling of cognitive phenomena.
Abstract
This paper demonstrates that some non-classical models of human decision-making can be run successfully as circuits on quantum computers. Since the 1960s, many observed cognitive behaviors have been shown to violate rules based on classical probability and set theory. For example, the order in which questions are posed in a survey affects whether participants answer 'yes' or 'no', so the population that answers 'yes' to both questions cannot be modeled as the intersection of two fixed sets. It can, however, be modeled as a sequence of projections carried out in different orders. This and other examples have been described successfully using quantum probability, which relies on comparing angles between subspaces rather than volumes between subsets. Now in the early 2020s, quantum computers have reached the point where some of these quantum cognitive models can be implemented and…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture
