Implementation and Analysis of Quantum Majority Rules under Noisy Conditions
Gal Amit, Yuval Idan, Michael Suleymanov, Luis Razo, Eliahu Cohen

TL;DR
This paper evaluates the quantum majority rule (QMR) voting protocol under realistic noisy quantum conditions, analyzing its robustness and exploring entanglement-based variants to understand multi-voter quantum correlations.
Contribution
It provides the first detailed analysis of QMR's behavior on noisy quantum hardware and introduces an entanglement-based variant for testing quantum correlations in voting.
Findings
Moderate noise does not alter QMR's qualitative behavior.
Strong noise shifts societal rankings away from classical winners.
Entanglement-based variants respond differently to noise, revealing quantum correlation effects.
Abstract
Quantum voting, inspired by quantum game theory, provides a framework in which the quantum majority rule (QMR) constitution of Bao and Yunger Halpern [Phys. Rev. A 95, 062306 (2017)] violates the quantum analogue of Arrow's impossibility theorem. We evaluate this QMR constitution analytically on classical profile data and implement its final measurement stage as a quantum circuit, running on both noiseless simulators and noisy IBM quantum hardware to map how realistic noise deforms the resulting societal ranking distribution. Moderate-high single-qubit noise does not change the qualitative behavior of QMR, whereas strong noise shifts the distribution toward other dominant winners than the classical one. We quantify this behavior using winner-agreement rates, Condorcet-winner flip rates, and Jensen-Shannon divergence between societal ranking distributions. In a second, exploratory…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Mechanics and Applications · Quantum Information and Cryptography
