Modelling Non-Markovian Quantum Systems Using Tensor Networks [[electronic resource] /] / by Aidan Strathearn

• Autore: Strathearn Aidan
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (113 pages)
• Disciplina: 530.12011
• Soggetto topico: Quantum physics; Mathematical physics; Statistics ; Probabilities; Quantum Physics; Theoretical, Mathematical and Computational Physics; Statistics and Computing/Statistics Programs; Probability Theory and Stochastic Processes
• Nota di contenuto: Introduction -- Background -- Method -- Results -- Conclusion.
• Sommario/riassunto: 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.
• Titolo autorizzato: Modelling Non-Markovian Quantum Systems Using Tensor Networks
• ISBN: 3-030-54975-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996418434103316
• Lo trovi qui: Univ. di Salerno
• Serie: Springer Theses, Recognizing Outstanding Ph.D. Research, . 2190-5053