QInfer - Library for Statistical Inference in Quantum Information¶
- Introduction
- 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
- Biblography
- Acknowledgements