MODELLING NON-MARKOVIAN QUANTUM SYSTEMS USING TENSOR NETWORKS
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 n…
Read More ↓Title Statements
- Full title :MODELLING NON-MARKOVIAN QUANTUM SYSTEMS USING TENSOR NETWORKS.
Summary
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.
Read More ↓Edition Statements
- Publication Date:2020.
Publication Statements
- Publisher(s):Springer Nature
- Place of Publication:S.l
- Language:eng
- Publication Date:2020.
Edition Identifiers
- ISBN:3030549747, 9783030549749
- oclc:on1160237556
Table of Contents
Introduction -- Background -- Method -- Results -- Conclusion.
Read More ↓Writers
No reviews yet. Be the first to rate this work.
Rate & Review