API Reference¶
- Abstract Model Classes
- Derived Models
- Introduction
PoisonedModel
- Model corrupted by likelihood errorsBinomialModel
- Model over batches of two-outcome experimentsGaussianHyperparameterizedModel
- Model over Gaussian outcomes conditioned on two-outcome experimentsMultinomialModel
- Model over batches of D-outcome experimentsMLEModel
- Model for approximating maximum-likelihood estimationRandomWalkModel
- Model for adding fixed random walk to parametersGaussianRandomWalkModel
- Model for adding gaussian random walk to parameters
- 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
- Introduction
SimplePrecessionModel
- Model of a single qubit undergoing Larmor precessionUnknownT2Model
- Model of a single qubit undergoing Larmor precession with finite decoherenceNoisyCoinModel
- Classical coin flip model corrupted by a noisy processNDieModel
- Custom Models
test_model()
- Method to run suite of tests on a model instance
- Quantum Tomography
- Utility Functions