Cytnx user guide and examples

Cytnx is a library designed for Quantum physics simulations using GPUs and CPUs.

• Introduction

• Install & Usage of Cytnx
  • Conda install
    • Using Python API after Conda install
    • Using C++ API after Conda install
• Advanced Install of Cytnx
  • Build/Install Cytnx from source
    • Dependencies
    • Compiling process
    • Using Python API after self-build install
    • Using C++ API after self-build install
  • Check Cytnx version
  • Generate API documentation
• User Guide
  • Overview
    • Start reading
    • Advanced topics
  • Contents
    • 1. Conventions
    • 2. Device
    • 3. Tensor
    • 4. Storage
    • 5. Scalar
    • 6. Tensor notation
    • 7. UniTensor
    • 8. Contraction
    • 9. Tensor decomposition
    • 10. Iterative solver
    • 11. Linear algebra
    • 12. Common APIs
• Examples
  • 1. Exact Diagonalization
    • 1.1. Bit representation of basis states
    • 1.2. Implementation
    • 1.3. Simulation Results
  • 2. iTEBD
    • 2.1. Imaginary time evolution
    • 2.2. Update procedure
  • 3. DMRG
    • 3.1. The model– XY chain
    • 3.2. Basic components
    • 3.3. Preparing the MPO
    • 3.4. Preparing the MPS and enviroments
    • 3.5. Optimization of MPS (update sweep)
    • 3.6. Compare DMRG Results
  • 4. iDMRG
    • 4.1. Initialization
    • 4.2. Update procedure
• Common usage
  • 1. Set same value for all blocks in UniTensor with Symmetry
  • 2. Check current Blas/Lapack integer size
• Performance tuning
  • Tensordot with input cache
  • Access single element of Tensor in C++

• API Documentation
• Paper
• Github
• 5-mins Blitz intro slide

• Developer

Indices and tables

• Index

• Module Index

• Search Page