WebWe study the representational power of a Boltzmann machine (a type of neural network) in quantum many-body systems. We prove that any (local) tensor network state has a (local) neural network representation. The construction is almost optimal in the sense that the number of parameters in the neural network representation is almost linear in the number … WebJan 27, 2024 · Artificial neural networks play a prominent role in the rapidly growing field of machine learning and are recently introduced to quantum many-body systems to tackle …
Identifying topological order through unsupervised …
WebThis review describes different trials to model and predict drug payload in lipid and polymeric nanocarriers. It traces the evolution of the field from the earliest attempts when numerous solubility and Flory-Huggins models were applied, to the emergence of molecular dynamic simulations and docking studies, until the exciting practically successful era of artificial … WebSep 28, 2016 · Our exact construction of topological-order neuron-representation demonstrates explicitly the exceptional power of neural … shiny phione
(PDF) Exact Machine Learning Topological States
WebSep 28, 2016 · Artificial neural networks and machine learning have now reached a new era after several decades of improvement where … WebAug 29, 2024 · The Su-Schrieffer-Heeger (SSH) model on a two-dimensional square lattice exhibits a topological phase transition which is related to the Zak phase determined by bulk band topology. The strong modulation of electron hopping causes nontrivial charge polarization even in the presence of inversion symmetry. The energy band structures and … WebMachine learning topological states Dong-Ling Deng, 1Xiaopeng Li,2,3,1 and S. Das Sarma 1Condensed Matter Theory Center and Joint Quantum Institute, Department of … shiny phantump pokemon