QSTToolkit package v1.1.0

Subpackages

• qsttoolkit.data Subpackage
  • Individual States
    • binomial_dm()
    • binomial_state()
    • cat_dm()
    • cat_state()
    • gkp_dm()
    • gkp_state()
    • num_dm()
    • num_state()
  • State Batches
    • BinomialStates
    • CatStates
    • CoherentStates
    • FockStates
    • GKPStates
    • NumStates
    • RandomStates
    • States
    • ThermalStates
  • Datasets
    • optical_state_dataset()
  • Noise
    • additive_gaussian_noise()
    • affine_transformation()
    • apply_measurement_noise()
    • gaussian_convolution()
    • mixed_state_noise()
    • salt_and_pepper_noise()
• qsttoolkit.tomography Subpackage
  • Traditional QST
    • Maximum Likelihood Estimation (MLE) Quantum State Tomography
  • Deep Learning QST
    • Convolutional Neural Network (CNN) Quantum State Discrimination
    • Generative Adversarial Network (GAN) Quantum State Tomography
    • Multitask Regression/Classification Network Quantum State Reconstruction
  • Global QST Utility Functions
    • Husimi_Q_measurement_operators()
    • QuantumStateTomography
    • log_likelihood()
    • measurement_operators()
    • parameterise_density_matrix()
    • parametrize_density_matrix()
    • photon_number_measurement_operators()
    • positivity_constraint()
    • reconstruct_density_matrix()
    • trace_constraint()

Additional Submodules

• qsttoolkit.plots Submodule
  • plot_Hinton()
  • plot_Husimi_Q()
  • plot_Wigner()
  • plot_hinton()
  • plot_occupations()
• qsttoolkit.quantum Submodule
  • expectation()
  • fidelity()
  • maximally_mixed_state_dm()
  • random_positive_semidefinite_dm()