Browsing Physics and Astronomy by Subject "tensor networks"
Now showing items 1-4 of 4
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Loop Optimization of Tensor Network Renormalization: Algorithms and Applications
(University of Waterloo, 2019-05-22)Loop optimization for tensor network renormalization (loop-TNR) is a real-space renormalization group algorithm suitable for studying 1+1D critical systems. While the original proposal by Yang et al. focused on classical ... -
Renormalization, Entanglement and Continuous Tensor Networks
(University of Waterloo, 2020-07-07)The study of the ground states of local Hamiltonians in quantum many-body and quantum field theoretic systems is a source of many research problems of great complexity. Almost in its entirety, this thesis deals with ... -
Simulating Many-Body States of Light and Matter with Tensor Networks
(University of Waterloo, 2022-09-29)When Feynman originally proposed the concept of a quantum computer, his purpose was to perform quantum simulation of complex materials. It is thus a key requirement that quantum resources can emulate physical processes ... -
Tensor Networks and the Renormalization Group
(University of Waterloo, 2018-08-24)Tensor networks are a class of methods for studying many-body systems. They give a geometrical description of the internal structure of many-body states, operators, and partition functions, that can be used to implement ...