Modelling Non-Markovian Quantum Systems Using Tensor Networks

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Éditeur :

Springer


Collection :

Springer Theses

Paru le : 2020-08-31

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Description
This thesis presents a revolutionary technique for modelling the dynamics of a quantum system that is strongly coupled to its immediate environment. This is a challenging but timely problem. In particular it is relevant for modelling decoherence in devices such as quantum information processors, and how quantum information moves between spatially separated parts of a quantum system.


The key feature of this work is a novel way to represent the dynamics of general open quantum systems as tensor networks, a result which has connections with the Feynman operator calculus and process tensor approaches to quantum mechanics. The tensor network methodology developed here has proven to be extremely powerful: For many situations it may be the most efficient way of calculating open quantum dynamics. This work is abounds with new ideas and invention, and is likely to have a very significant impact on future generations of physicists.

Pages
103 pages
Collection
Springer Theses
Parution
2020-08-31
Marque
Springer
EAN papier
9783030549749
EAN PDF
9783030549756

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
3451 Ko
Prix
126,59 €
EAN EPUB
9783030549756

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
5530 Ko
Prix
126,59 €