Federating Quantum and Classical Computing: A Privacy-Preserving Hybrid Approach

This paper proposes a federated approach to hybrid quantum-classical computing with privacy protection. The framework embeds parameterized quantum circuits within classical models, enabling quantum advantages while maintaining data privacy. The approach has been applied to chemistry simulation, financial modeling, and image processing domains.