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

T1Covered by 1 source · first reported by arXiv at 24 Sept, 04:00 UTC

arXiv:2609.25082v1 Announce Type: cross Abstract: 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…

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• T1Federating Quantum and Classical Computing: A Privacy-Preserving Hybrid ApproacharXiv24 Sept, 04:00