In this thesis we investigate the structure of quantum many-body systems. We explore how quantum systems evolve on their own, how the classical environment can influence, impair, inhibit the dynamics of controlled quantum systems, how entanglement grows in closed quantum systems, and how tools from the study of classical chaos can help us to characterise and quantify this growth. We propose tools for controlling quantum systems to achieve useful tasks; we develop algorithms for the quantum simulation of other, infinitely large quantum systems, making use of a formalism — tensor networks —familiar from classical studies of quantum behaviour. We investigate how inspiration from physics can be used to develop further quantum and classical algorithms, in quantum simulation, machine learning, and beyond.
Date of Award | 1 Jul 2021 |
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Original language | English |
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Awarding Institution | |
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Supervisor | Peter Sollich (Supervisor) & Andrew Green (Supervisor) |
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The dynamics and control of quantum information out of equilibrium
Barratt, F. (Author). 1 Jul 2021
Student thesis: Doctoral Thesis › Doctor of Philosophy