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
  • Citing QInfer and Related Projects
• 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