QInfer - Library for Statistical Inference in Quantum Information¶

  • Introduction
    • Installing QInfer
    • Citing QInfer
    • Getting Started
  • User’s Guide
    • Simple Estimation Functions
    • Representing Probability Distributions
    • Designing and Using Models
    • Sequential Monte Carlo
    • Experiment Design Heuristics
    • Randomized Benchmarking
    • Quantum Tomography
    • Learning Time-Dependent Models
    • Performance and Robustness Testing
    • Parallel Execution of Models
    • Interoperability
  • API Reference
    • Abstract Model Classes
    • Derived Models
    • Probability Distributions
    • Domains
    • Experiment Design Algorithms
    • GPU-Accelerated Models
    • IPython/Jupyter Support
    • Mixin Classes for Model Development
    • Parallelized Models
    • Performance Testing
    • Randomized Benchmarking
    • Resampling Algorithms
    • Simple Estimation
    • Sequential Monte Carlo
    • Testing Models
    • Quantum Tomography
    • Utility Functions
  • Development Guide
    • Writing Documentation
    • Unit and Documentation Testing
  • Biblography
  • Acknowledgements

Indices and tables¶

  • Index
  • Module Index
  • Search Page

Table Of Contents

  • QInfer - Library for Statistical Inference in Quantum Information
    • Indices and tables

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