Mutual Information Scaling for Tensor Network Machine Learning

• Published in: arXiv.org
• Main Authors: Convy, Ian, Huggins, William, Liao, Haoran, Whaley, K Birgitta
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 28.02.2022
• Subjects: Algorithms; Correlation analysis; Design; Entanglement; Lower bounds; Machine learning; Mathematical analysis; Physics - Quantum Physics; Regression analysis; Scaling; Statistical analysis; Tensors

Tensor networks have emerged as promising tools for machine learning, inspired by their widespread use as variational ansatze in quantum many-body physics. It is well known that the success of a given tensor network ansatz depends in part on how well it can reproduce the underlying entanglement stru...