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

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