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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#

  • 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

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Welcome to quimb’s documentation!

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1. Installation

By Johnnie Gray
© Copyright 2015-2021, Johnnie Gray.