Hybrid Variational Quantum-Classical Framework with Adaptive Weighting and Efficiency Assessment
DGX agentarXiv: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 cu