Quantum Simulations of Opinion Dynamics
Xingyu Guo, Xiaoyang Wang, Lingxiao Wang
TL;DR
The paper presents a quantum framework for opinion dynamics where agents are encoded as qubits with initial-belief and interaction Hamiltonians, enabling both imaginary-time and real-time evolution. It introduces observables such as magnetization and entanglement entropy to quantify consensus, metastable states, and inter-agent correlations across different network topologies, including open chains, round-table, and leader–follower structures. The approach is validated through a proof-of-principle IBM Quantum hardware demonstration using variational quantum imaginary time evolution, showing compatibility with exact diagonalization within realistic noise. A key finding is that network connectivity and leader strength jointly shape the emergence and speed of consensus, with potential connections to Kuramoto-type synchronization and Schrödinger–Lohe models, highlighting the practical potential of quantum simulators for exploring complex social dynamics.
Abstract
Consensus formation is a central problem in collective behavior. In this work, we develop quantum models of opinion dynamics that can be exactly solved and implemented on current quantum hardware. By exploiting quantum superposition, measurement-induced state collapse, and entanglement, our framework captures key features of opinion evolution and allows a systematic investigation of how network connectivity shapes consensus formation. We demonstrate our approach using practical quantum circuits and validate representative cases on IBM Quantum devices for the open-chain. Further results demonstrate that quantum platforms can serve as a viable framework for simulating opinion dynamics and for probing the interplay between leadership, network structure, and collective behavior.
