Enhancing Quantum Machine Learning with Anyons
A new quantum kernel framework has been developed that unifies bosonic, fermionic, and anyonic exchange statistics within a single machine learning paradigm. This framework demonstrates that anyonic kernels consistently outperform bosonic and fermionic counterparts on learning benchmarks by accessing unique feature-space directions and exhibiting more favorable class geometry. The research highlights particle exchange statistics as a previously overlooked computational element for enhancing quantum machine learning performance. AI