Federating Quantum and Classical Computing: A Privacy-Preserving Hybrid Approach
Quantum/Chemical
This paper presents a privacy-preserving hybrid quantum-classical computing framework that integrates parameterized quantum circuits with classical components, targeting quantum computing proxy applications such as chemistry simulation.
See LICENSE file Quantum Machine LearningHybrid Quantum-Classical ModelsPrivacy-Preserving