Quantum amplitude amplification algorithm: an explanation of availability bias

TL;DR

This paper explores how quantum amplitude amplification algorithms can model cognitive heuristics like availability bias, providing a quantitative framework for understanding memory and probability estimation tasks.

Contribution

It introduces a novel application of quantum algorithms to cognitive science, linking quantum computing techniques with psychological heuristics.

Findings

Quantum algorithms model ease of memory recall.

Quantum amplitude estimation describes probability estimation.

Quantum counting approximates cognitive tasks.

Abstract

In this article, I show that a recent family of quantum algorithms, based on the quantum amplitude amplification algorithm, can be used to describe a cognitive heuristic called availability bias. The amplitude amplification algorithm is used to define quantitatively the ease of a memory task, while the quantum amplitude estimation and the quantum counting algorithms to describe cognitive tasks such as estimating probability or approximate counting.