Drlq: A Novel Deep Reinforcement Learning (drl)-based Technique For Task Placement In Quantum Cloud Computing Environments

DRLQ is a novel technique that uses Deep Reinforcement Learning to optimize task placement in quantum cloud computing environments, reducing time wastage and improving resource management.