Renormalization group theory of tensor network states provides a
powerful tool for studying quantum many-body problems and a new
paradigm for understanding entangled structures of complex systems.
In recent decades the theory has rapidly evolved into a universal
framework and language employed by researchers in fields ranging
from condensed matter theory to machine learning. This book
presents a pedagogical and comprehensive introduction to this field
for the first time. After an introductory survey on the major
advances in tensor network algorithms and their applications, it
introduces step-by-step the tensor network representations of
quantum states and the tensor-network renormalization group methods
developed over the past three decades. Basic statistical and
condensed matter physics models are used to demonstrate how the
tensor network renormalization works. An accessible primer for
scientists and engineers, this book would also be ideal as a
reference text for a graduate course in this area.
General
Imprint: |
Cambridge UniversityPress
|
Country of origin: |
United Kingdom |
Release date: |
August 2023 |
Authors: |
Tao Xiang
|
Pages: |
470 |
ISBN-13: |
978-1-00-939870-1 |
Categories: |
Books
|
LSN: |
1-00-939870-9 |
Barcode: |
9781009398701 |
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