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

За: Інтелектуальна відповідальність: Вид матеріалу: Текст Серія: Springer Theses, Recognizing Outstanding Ph.D. ResearchПублікація: Cham : Springer International Publishing : Imprint: Springer, 2020Видання: 1st ed. 2020Опис: XV, 103 p. 64 illus., 15 illus. in color. online resourceТип вмісту:
  • text
Тип засобу:
  • computer
Тип носія:
  • online resource
ISBN:
  • 9783030549756
Тематика(и): Додаткові фізичні формати: Printed edition:: Немає назви; Printed edition:: Немає назви; Printed edition:: Немає назвиДесяткова класифікація Дьюї:
  • 530.12 23
Класифікація Бібліотеки Конгресу:
  • QC173.96-174.52
Електронне місцезнаходження та доступ:
Вміст:
Introduction -- Background -- Method -- Results -- Conclusion.
У: Springer Nature eBookЗведення: 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.
Тип одиниці:
Мітки з цієї бібліотеки: Немає міток з цієї бібліотеки для цієї назви. Ввійдіть, щоб додавати мітки.
Оцінки зірочками
    Середня оцінка: 0.0 (0 голос.)
Немає реальних примірників для цього запису

Introduction -- Background -- Method -- Results -- Conclusion.

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.

Немає коментарів для цієї одиниці.

для можливості публікувати коментарі.