aiqbench analysis
This research demonstrates the feasibility of simulating local thermalization in chaotic nonabelian lattice gauge theories on current noisy quantum hardware, validating results against classical extrapolations up to 101 plaquettes. By successfully modeling SU(2) pure gauge dynamics with error mitigation, the study provides a concrete step toward practical applications for large-scale quantum systems and high-energy physics simulations.
Local Thermalization of SU(2) Lattice Gauge Fields on Quantum Computers
arXiv:2603.23948v3 Announce Type: replace-cross Abstract: We simulate the local thermalization dynamics for minimally truncated SU(2) pure gauge theory on linear plaquette chains with up to 151 plaquettes using IBM quantum computers. We study the time dependence of the entanglement spectrum, R\'enyi-2 entropy and anti-flatness on small subsystems. The quantum hardware results obtained after error mitigation agree with extrapolated classical simulator results for chains consisting of up to 101 plaquettes. Our results demonstrate the feasibility of local thermalization studies for chaotic quantum systems, such as nonabelian lattice gauge theories, on current noisy quantum computing platforms.
Abstract:We simulate the local thermalization dynamics for minimally truncated SU(2) pure gauge theory on linear plaquette chains with up to 151 plaquettes using IBM quantum computers. We study the time dependence of the entanglement spectrum, Rényi-2 entropy and anti-flatness on small subsystems. The quantum hardware results obtained after error mitigation agree with extrapolated classical simulator results for chains consisting of up to 101 plaquettes. Our results demonstrate the feasibility of local thermalization studies for chaotic quantum systems, such as nonabelian lattice gauge theories, on current noisy quantum computing platforms.
arXiv:2603.23948 [hep-lat]
(or arXiv:2603.23948v3 [hep-lat] for this version)
https://doi.org/10.48550/arXiv.2603.23948 Focus to learn more arXiv-issued DOI via DataCite
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