Federating Quantum and Classical Computing: A Privacy-Preserving Hybrid Approach
Quantum machine learning (QML) is increasingly recognized as one of the most promising near-term applications of quantum computing, viewed as a next-frontier candidate beyond purely classical approaches. Hybrid quantum-classical models operationalize this potential by embedding a parameterized quantum circuit within a...
C. Cano, Daniel M. Jimenez-Gutierrez, Diego Sal et al.
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