Machine learning by tensor network and quantum computing
报告介绍 Abstract: It is a critical challenge to simultaneously gain high interpretability and efficiency with the current schemes of deep machine learning (ML). Tensor network (TN), which is a well-established mathematical tool originating from quantum mechanics, has shown its unique advantages on developing efficient “white-box” ML schemes. Here, we give a brief review on the inspiring progresses made...
