Thermodynamics based on neural networks
D Wagner, A Klümper, J Sirker - Physical Review B, 2024 - APS
We present three different neural network (NN) algorithms to calculate thermodynamic
properties as well as dynamic correlation functions at finite temperatures for quantum lattice …
properties as well as dynamic correlation functions at finite temperatures for quantum lattice …
Neural Network Thermodynamics
D Wagner, A Klümper, J Sirker - arXiv preprint arXiv:2311.13799, 2023 - arxiv.org
We present three different neural network algorithms to calculate thermodynamic properties
as well as dynamic correlation functions at finite temperatures for quantum lattice models …
as well as dynamic correlation functions at finite temperatures for quantum lattice models …
Bayesian Modelling Approaches for Quantum States--The Ultimate Gaussian Process States Handbook
Y Rath - arXiv preprint arXiv:2308.07669, 2023 - arxiv.org
Capturing the correlation emerging between constituents of many-body systems accurately
is one of the key challenges for the appropriate description of various systems whose …
is one of the key challenges for the appropriate description of various systems whose …
Neural quantum state methods for simulating quantum many-body systems
D Hofmann - 2023 - pure.mpg.de
Neural quantum state methods for simulating quantum many-body systems Page 1 Neural
quantum state methods for simulating quantum many-body systems Dissertation zur Erlangung …
quantum state methods for simulating quantum many-body systems Dissertation zur Erlangung …
[PDF][PDF] Bayesian Modelling Approaches for Quantum States
Y Rath - 2023 - kclpure.kcl.ac.uk
Capturing the correlation emerging between constituents of many-body systems is one of
the key challenges to describe various quantum systems accurately. This thesis discusses …
the key challenges to describe various quantum systems accurately. This thesis discusses …