Abstract: As deep learning models continue to grow larger and more complex, exploiting sparsity is becoming one of the most critical areas for enhancing efficiency and scalability. Several methods for ...
Abstract: Exploring the convergence of quantum computing and machine learning, this paper delves into Quantum Reinforcement Learning (QRL) with a specific focus on Variational Quantum Circuits (VQC).