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Quantum Machine Learning Quantum Simulation

The Physics of Preference: Unravelling Imprecision of Human Preferences through Magnetisation Dynamics

arXiv
Authors: Ivan S. Maksymov, Ganna Pogrebna

Year

2023

Paper ID

54271

Status

Preprint

Abstract Read

~2 min

Abstract Words

88

Citations

N/A

Abstract

Paradoxical decision-making behaviours such as preference reversal often arise from imprecise or noisy human preferences. Harnessing the physical principle of magnetisation reversal in ferromagnetic nanostructures, we developed a model that closely reflects human decision-making dynamics. Tested against a spectrum of psychological data, our model adeptly captures the complexities inherent in individual choices. This blend of physics and psychology paves the way for fresh perspectives on understanding the imprecision of human decision-making processes, extending the reach of the current classical and quantum physical models of human behaviour and decision-making.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2023 reference point for readers tracking recent quantum research.
  • Paradoxical decision-making behaviours such as preference reversal often arise from imprecise or noisy human preferences.

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2310.00267 [2] arXiv https://arxiv.org/abs/2310.00267 [3] Publisher https://arxiv.org/abs/2310.00267

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