Neural-network simulation of strongly correlated quantum systems

Neural-network simulation of strongly correlated quantum systems / Stefanie Czischek.

Quantum systems with many degrees of freedom are inherently difficult to describe and simulate quantitatively. The space of possible states is, in general, exponentially large in the number of degrees of freedom such as the number of particles it contains. Standard digital high-performance computing...

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Bibliographic Details
Main Author: Czischek, Stefanie, 1990- (Author)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, [2020]
Series:Springer theses.
Subjects:
Quantum systems.
Quantum theory.
Neural networks (Computer science)
Machine learning.
Mathematical modelling.
Materials > States of matter.
Quantum physics (quantum mechanics & quantum field theory)
Computers > Intelligence (AI) & Semantics.
Mathematics > Applied.
Science > Solid State Physics.
Science > Quantum Theory.
Quantum systems
Quantum theory
Electronic books.
Online Access:Click for online access
Table of Contents:
  • Introduction
  • Quantum Mechanics and Spin Systems
  • Artificial Neural Networks
  • Discrete Truncated Wigner Approximation
  • BM-Based Wave Function Parametrization
  • Deep Neural Networks and Phase Reweighting
  • Towards Neuromorphic Sampling of Quantum States
  • Conclusion.

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