适合人群:Researchers in statistical physics, quantum information scientists, computational scientists, physics students with an interest in numerical methods, and professionals in the field of quantum computing and algorithms.
Recent years have shown important and spectacular convergences between techniques traditionally used in theoretical physics and methods emerging from modern mathematics (combinatorics, probability theory, topology, algebraic geometry, etc). These techniques, and in particular those of low-dimensional statistical models, are instrumental in improving our understanding of emerging fields, such as quantum computing and cryptography, complex systems, and quantum fluids. This book sets these issues into a larger and more coherent theoretical context than is currently available. For instance, understanding the key concepts of quantum entanglement (a measure of information density) necessitates a thorough knowledge of quantum and topological field theory, and integrable models. To achieve this goal, the lectures were given by international leaders in the fields of exactly solvable models in low dimensional condensed matter and statistical physics.
Exact Methods in Low-dimensional Statistical Physics and Quantum Computing分类索引数据信息
ISBN:9780199574612
出版日期:2010-6-18 适合人群:Researchers in statistical physics, quantum information scientists, computational scientists, physics students with an interest in numerical methods, and professionals in the field of quantum computing and algorithms.