Dilli Hang Rai

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. This paper presents Sim-HVQC, a hybrid Deep Quantum Neural Network that couples an adaptive, parameter-free SimAM weighting module with classi...