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Core User Guide
1. Installation
2. Basics
3. Built-in & Random States & Operators
4. Calculating Quantities
5. Eigen-Solving & Other Linear Algebra
6. Distributed Parallelism - MPI
7. Time Evolution
Tensor Network Guide
1. Tensor Network Basics
2. Drawing Tensor Networks
3. 1D Tensor Networks & Algorithms
4. 2D Tensor Networks & Algorithms
5. Quantum Circuit Simulation
6. Tensor Network Design
Examples
1. 2D Antiferromagnetic Model Example
2. Quenching a Random Product State
3. MPI Interior Eigensolve with Lazy, Projected Operators
4. Example - Tensor Renormalization Group (TRG)
5. Tensor Network Random Unitary Evolution
6. Periodic DMRG and Calculations
7. MPS Evolution with TEBD
8. Basic MERA Manipulations & Optimization
9. Optimizing a Tensor Network using Tensorflow
10. Tensor Network Training of Quantum Circuits
11. Bayesian Optimizing QAOA Circuit Energy
Developer Notes
Changelog
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Core User Guide
Core User Guide
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1. Installation
1.1. Required Dependencies
1.2. Optional Dependencies
2. Basics
2.1. Basic Representation
2.2. Basic Operations
2.3. Combining Objects - Tensoring
2.4. Removing Objects - Partial Trace
3. Built-in & Random States & Operators
3.1. States
3.2. Operators
3.3. Random States & Operators
4. Calculating Quantities
4.1. Approximate Spectral Functions
5. Eigen-Solving & Other Linear Algebra
5.1. Dense / full decomposition
5.2. Partial decomposition
6. Distributed Parallelism - MPI
6.1. Modes of execution
6.2. MPI pool
6.3. An Example
7. Time Evolution
7.1. Basic Usage
7.2. Methods of Updating
7.3. Computing on the fly
7.4. Time-Dependent Evolutions
