Scientific note

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

Hybrid quantum-classical neural networks have emerged as a promising approach for leveraging quantum computing in machine learning while mitigating current hardware limitations.