Hybrid Variational Quantum-Classical Framework with Adaptive Weighting and Efficiency Assessment

T1Covered by 1 source · first reported by arXiv at 25 Sept, 04:00 UTC

arXiv:2609.28491v1 Announce Type: cross Abstract: Hybrid quantum-classical neural networks have emerged as a promising approach for leveraging quantum computing in machine learning while mitigating current hardware limitations. This paper presents Sim-HVQC, a hybrid Deep Quantum Neural Network that…

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• T1Hybrid Variational Quantum-Classical Framework with Adaptive Weighting and Efficiency AssessmentarXiv25 Sept, 04:00