Computation times

04:25.956 total execution time for demos files:

Studying realistic bosonic qubits using the bosonic backend (run_GKP_bosonic.py)	03:27.336	0.0 MB
Sampling quadratures of non-Gaussian states using the bosonic backend (run_sampling_bosonic.py)	00:40.733	0.0 MB
An introduction to the bosonic backend (run_intro_bosonic.py)	00:17.887	0.0 MB
Advanced time-domain photonic circuits (run_advanced_time_domain.py)	00:00.000	0.0 MB
Blackbird programming language (run_blackbird.py)	00:00.000	0.0 MB
Boson sampling and the permanent (run_boson_sampling.py)	00:00.000	0.0 MB
Quantum gate synthesis (run_gate_synthesis.py)	00:00.000	0.0 MB
Gate teleportation (run_gate_teleportation.py)	00:00.000	0.0 MB
CV quantum gate visualizations (run_gate_visualization.py)	00:00.000	0.0 MB
Gaussian boson sampling and the Hafnian (run_gaussian_boson_sampling.py)	00:00.000	0.0 MB
Gaussian cloning (run_gaussian_cloning.py)	00:00.000	0.0 MB
Hamiltonian simulation (run_hamiltonian_simulation.py)	00:00.000	0.0 MB
Instantaneous quantum polynomial (run_iqp.py)	00:00.000	0.0 MB
Minimizing the amount of correlations (run_minimizing_correlations.py)	00:00.000	0.0 MB
Quantum information with polarized light (run_polarization.py)	00:00.000	0.0 MB
Measurements and post-selection (run_post_selection.py)	00:00.000	0.0 MB
Quantum neural network (run_quantum_neural_network.py)	00:00.000	0.0 MB
Scattershot Boson Sampling (run_scattershot_bs.py)	00:00.000	0.0 MB
Quantum state learning (run_state_learner.py)	00:00.000	0.0 MB
Basic tutorial: quantum teleportation (run_teleportation.py)	00:00.000	0.0 MB
Time-domain photonic circuits (run_time_domain.py)	00:00.000	0.0 MB
Optimization & machine learning with TensorFlow (run_tutorial_machine_learning.py)	00:00.000	0.0 MB
Squeezer characterization (squeezer_tests.py)	00:00.000	0.0 MB
Executing programs on X8 devices (tutorial_X8.py)	00:00.000	0.0 MB

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