Quantum Generative Adversarial Networks: Bridging Classical and Quantum Realms

no code implementations • 15 Dec 2023 • Sahil Nokhwal, Suman Nokhwal, Saurabh Pahune, Ankit Chaudhary

In this pioneering research paper, we present a groundbreaking exploration into the synergistic fusion of classical and quantum computing paradigms within the realm of Generative Adversarial Networks (GANs).

Quantum Machine Learning

Accelerating Neural Network Training: A Brief Review

1 code implementation • 15 Dec 2023 • Sahil Nokhwal, Priyanka Chilakalapudi, Preeti Donekal, Suman Nokhwal, Saurabh Pahune, Ankit Chaudhary

This study examines innovative approaches to expedite the training process of deep neural networks (DNN), with specific emphasis on three state-of-the-art models such as ResNet50, Vision Transformer (ViT), and EfficientNet.