Continuous Variable Quantum

Continuous variable (CV) quantum systems leverage the continuous nature of physical quantities like light amplitude to encode quantum information, offering advantages in scalability and experimental simplicity compared to discrete-variable approaches. Current research focuses on developing efficient algorithms, including quantum machine learning techniques like convolutional neural networks and reinforcement learning, to control, characterize, and utilize these systems for tasks such as quantum key distribution and quantum computation. These advancements are driving progress in quantum technologies by improving the accuracy, speed, and security of quantum information processing, with applications ranging from secure communication to advanced simulations.