Welcome to QuLearn’s documentation!

Contents:

• Installation
  • Requirements
  • Dependencies
  • Installation Methods
  • Verifying Installation
• API Documentation
  • DataGenTorch
  • PriorTorch
  • DataGenCapacity
  • DataGenFat
  • DataGenRademacher
  • UniformPrior
  • NormalPrior
  • gen_dataset_capacity()
  • generate_samples_b_fat()
  • generate_samples_r_fat()
  • gen_synthetic_features()
  • gen_synthetic_features_normal()
  • gen_synthetic_labels_fat()
  • gen_sigmas()
  • generate_lhs_samples()
  • generate_model_lhs_samples()
  • fat_shattering_dim()
  • check_shattering()
  • normalize_const()
  • RademacherLoss
  • memory()
  • fit_rand_labels()
  • parity_all_hamiltonian()
  • parities_all_observables()
  • sequence2parity_observable()
  • MeasurementType
  • CircuitLayer
  • IQPEmbeddingLayer
  • HatBasisQFE
  • Linear2DBasisQFE
  • RYCZLayer
  • AltRotCXLayer
  • AltRXCXLayer
  • IQPERYCZLayer
  • IQPEAltRotCXLayer
  • HadamardLayer
  • ParallelIQPEncoding
  • ParallelEntangledIQPEncoding
  • TwoQubitRotCXMPSLayer
  • EmbedU
  • MeasurementLayer
  • HamiltonianLayer
  • rademacher()
  • EpochType
  • SupervisedTrainer
  • RidgeRegression
  • probabilities_to_dictionary()
  • samples_to_dictionary()
  • all_bin_sequences()
  • parities_outcome()
  • parities_outcome_probs()