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  • Density Matrix and Tensor Network Renormalization 密度矩阵与张量网络重
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    • 作者: 向涛著 | 向涛编 | 无译
    • 出版社: 北京大学出版社
    • 出版时间:2024-09
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    • 作者: 向涛著| 向涛编| 无译
    • 出版社:北京大学出版社
    • 出版时间:2024-09
    • 开本:16开
    • ISBN:9787301353875
    • 版权提供:北京大学出版社

    【基本信息】

     

    Density Matrix and Tensor Network Renormalization(密度矩阵与张量网络重正化)
    丛书名:中外物理学精品书系
    著译者:向涛 著
    出版日期:202409 版次:1 开本:16开
    一级分类:参考 二级分类:学术图书
    三级分类:C11专著 中图分类:O183.2
    理科一编辑室 | 责编:潘丽娜 执行编辑:潘丽娜
    条码:9787301353875
    定价:¥158.00
    页码:464

    【读者对象】


    该领域研究人员


    【编辑推荐】


    本书是向涛院士著的张量网络态重正化群理论。

    【图书目录】


    Contents
    Preface
    Unit Used
    Notations and Graphical Representations
    List of Abbreviations
    Introduction
    1.1 Quantum Many-Body Problems
    1.2 From NRG to DMRG
    1.3 From DMRG to Tensor Network Algorithms
    1.4 Applications
    2 Basic Algebra of Tensors
    2.1 Diagrammatic Representation of Tensors
    2.2 QR and LQ Decompositions
    2.3 LU Decomposition with Partial Pivoting
    2.4 Singular Value Decomposition
    2.5 Polar Decomposition
    2.6 Higher-Order Singular Value Decomposition
    2.7 Low-Rank Approximation of Tensors
    2.8 Automatic Differentiation
    2.9 Trotter-Suzuki Decomposition
    3 Tensor Network Representation of Classical Statistical Models
    3.1 Tensor Network Models
    3.2 Matrix-Network Models
    3.3 Tensor Network Representation in the Original Lattice
    3.4 Tensor Network Representation in the Dual Space
    3.5 Vertex-Sharing Lattice Models
    3.6 Duality Properties of Tensor Network Models
    4 Tensor Network Representation of Operators
    2 Notations and Graphical Representations
    4.1 Matrix Product Operators (MPO)
    4.2 Imaginary Time Evolution Operato
    4.3 Quantum Transfer Matrix
    4.4 MPO Representation of Quantum Transfer Matrix
    5 Tensor Network Ansatz ofWave Functions
    5.1 Area Law of Entanglement Entropy
    5.2 Matrix Product States (MPS)
    5.3 One-Dimensional AKLT States
    5.4 Multiscale Entanglement Renormalization Ansatz (MERA)
    5.5 Projected Entangled Pair State (PEPS)
    5.6 Projected Entangled Simplex State (PESS)
    6 Criterion of Truncation: Symmetric Systems
    6.1 Density Matrix
    6.2 Reduced Density Matrix
    6.3 Schmidt Decomposition
    6.4 Variational Approach
    6.5 Edge and Bond Density Matrices
    7 Real-Space DMRG
    7.1 Two Kinds of Algorithms
    7.2 DMRG in the MPO Language
    7.3 Error Analysis
    7.4 Heisenberg Spin Chains
    7.5 Periodic System
    7.6 Multiple Target States
    7.7 Two-Dimensional Systems
    8 Implementation of Symmetries
    8.1 Symmetry Consideration
    8.2 Continuous Abelian Symmetries
    8.3 Spin Reflection Symmetry
    8.4 Spatial Reflection Symmetry
    8.5 Non-Abelian Symmetries
    9 DMRG with Nonlocal Basis States
    9.1 General Consideration
    9.2 Momentum-Space DMRG
    9.3 DMRG in a General Basis Space
    9.4 Optimization of Single-Particle Basis States
    9.5 Optimizing Active Basis Space
    Notations and Graphical Representations 3
    10 Matrix Product States
    10.1 The DMRG Wave Function
    10.2 Canonical Representations
    10.3 Canonical Transformation
    10.4 Implementation of Symmetries
    11 Infinite Matrix Product States
    11.1 Translation Invariant MPS
    11.2 Transfer Matrix and Canonical Transformation
    11.3 Expectation Values of Physical Observables
    11.4 String Order Parameter
    11.5 MPS with a Finite Unit Cell
    12 Determination of MPS
    12.1 Variational Optimization
    12.2 Excited states
    12.3 Imaginary Time Evolution
    12.4 Purification
    13 Continuous Matrix Product States
    13.1 Lattice Discretization of Continuous Quantum Field Theory
    13.2 Continuum limit of MPS
    13.3 Expectation Values
    13.4 Canonicalization
    13.5 Determination of Continuous MPS
    14 Classical Transfer Matrix Renormalization
    14.1 Classical Transfer Matrix
    14.2 TMRG
    14.3 Fixed-Point MPS: One-site Approach
    14.4 Fixed-Point MPS: Two-Site Approach
    14.5 Corner Transfer Matrix Renormalization
    15 Criterion of Truncation: Nonsymmetric Systems
    15.1 Nonsymmetric Density Matrix
    15.2 Transformation Matrices
    15.3 Canonicalization of the Transformation Matrices
    15.4 Biorthonormalization
    15.5 Low-Rank Approximation to the Environment Density Matrix
    16 Renormalization of Quantum Transfer Matrices
    16.1 Quantum Transfer Matrix and Thermodynamics
    16.2 Correlation Functions
    4 Notations and Graphical Representations
    16.3 QTMRG
    16.4 Thermodynamics of the Heisenberg Spin Chain
    17 MPS Solution of QTMRG
    17.1 Biorthonormal MPS
    17.2 Biorthonormalization
    17.3 Fixed-Point Equations
    17.4 Translation Invariant System with a Finite Unit Cell
    18 Dynamical Correlation Functions
    18.1 Spectral Functions
    18.2 Continued-Fraction Expansion
    18.3 Dynamical Moments
    18.4 Lanczos-DMRG Method
    18.5 Dynamical Calculations with MPS
    18.6 Correction-Vector Method
    18.7 Spin Structure Factor of the Heisenberg Model
    19 Time-Dependent Methods
    19.1 Pace-Keeping DMRG
    19.2 Time-Evolving Block Decimation
    19.3 Adaptive Time-Dependent DMRG
    19.4 Folded Transfer Matrix Method
    20 Tangent-Space Approaches
    20.1 Tangent Vectors of Uniform MPS
    20.2 Time-Dependent Variational Principle
    20.3 Single-mode excitations
    20.4 Excitations Represented with PEPS
    21 Tree Tensor Network States
    21.1 Canonical Representation
    21.2 Canonicalization
    21.3 Husimi lattice
    21.4 Determination of Tree Tensor Network State
    21.5 Upper Bound of the Correlation Length
    21.6 Thermodynamics
    22 Two-Dimensional Tensor Network States
    22.1 PEPS
    22.2 Variational Optimization
    22.3 Imaginary Time Evolution
    22.4 Tensor Derivatives by Automatic Differentiation
    Notations and Graphical Representations 5
    22.5 Contraction of Double-Layer Tensor Networks
    23 Coarse-Graining Tensor Renormalization
    23.1 Coarse-Graining Approaches
    23.2 TRG
    23.3 Second Renormalized TRG
    23.4 Determination of the Environment Tensor
    23.5 Tensor Network Renormalization (TNR)
    23.6 Loop Tensor Network Renormalization (Loop-TNR)
    23.7 HOTRG
    23.8 Second Renormalized HOTRG
    23.9 Comparison of Different Methods
    23.10 Three-Dimensional Classical Models
    23.11 Two-Dimensional Quantum Lattice Models
    Appendix A Other Numerical Methods
    A.1 Power Method
    A.2 Lanczos Method
    A.3 Conjugate Gradient Method
    A.4 Arnoldi Method
    A.5 Quantum Monte Carlo Simulation
    References
    Index

     

     

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