Quantum State

A quantum state describes the probabilistic nature of a quantum system, and its accurate characterization is crucial for advancing quantum technologies. Current research focuses on efficiently preparing, classifying, and learning quantum states, employing diverse methods such as deep neural networks (including convolutional and recurrent architectures), quantum support vector machines, and generative models like diffusion models and variational autoencoders. These efforts aim to improve the accuracy and efficiency of quantum state tomography and pave the way for applications in quantum computing, quantum machine learning, and quantum sensing.