Tensor Network Contractions : Methods and Applications to Quantum Many-Body Systems

Tensor Network Contractions Methods and Applications to Quantum Many-Body Systems

Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information sciences. This open access book aims to explain the tensor network contraction approaches in a systematic...

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Detalles Bibliográficos
Autores principales: Ran, Shi-Ju. author (author), Tirrito, Emanuele. author, Peng, Cheng. author, Chen, Xi. author, Tagliacozzo, Luca. author, Su, Gang. author, Lewenstein, Maciej. author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham Springer Nature 2020
Cham : 2020.
Edición:1st ed. 2020.
Colección:Lecture Notes in Physics, 964
Materias:
Physics.
Quantum physics.
Quantum optics.
Statistical physics.
Machine learning.
Elementary particles (Physics).
Quantum field theory.
Mathematical Methods in Physics.
Quantum Physics.
Quantum Optics.
Statistical Physics and Dynamical Systems.
Machine Learning.
Elementary Particles, Quantum Field Theory.
Physics
Quantum physics
Quantum optics
Statistical physics
Machine learning
Elementary particles (Physics)
Quantum field theory
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009430272806719
Tabla de Contenidos:
  • Introduction
  • Tensor Network: Basic Definitions and Properties
  • Two-Dimensional Tensor Networks and Contraction Algorithms
  • Tensor Network Approaches for Higher-Dimensional Quantum Lattice Models
  • Tensor Network Contraction and Multi-Linear Algebra
  • Quantum Entanglement Simulation Inspired by Tensor Network
  • Summary.

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