Quantum Voting System Proves Fragile at Mathematical Tipping Points

Researchers from Bar-Ilan University, the European Institute of Science in Management and Chapman University tested a quantum majority-rule voting system on IBM hardware. They found that election outcomes can remain stable under moderate noise but become fragile near mathematical tipping points.

The study used simulations and actual IBM quantum computers to test the QMR system's resilience to noise. The researchers modeled elections with five voters and three candidates, giving six possible strict rankings of the candidates.

They found that when voter preferences were already balanced near a mathematical tipping point, relatively small errors could have a much larger effect on the outcome. In tests using an IBM device model and real IBM hardware, the QMR system continued to identify the same Condorcet winner despite modest changes in the broader ranking distribution.