QML

The jupyter notebooks contain elegant tutorials as well as worked examples of the usage of various quantum machine learning algorithms. The topics include quantum systems, quantum computation, hybrid learning algorithms and coherent learning algorithms. The material is from an online QML course offered by uni of Toronto which ended in mid April 2019.

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
figures		figures
00_Introduction_to_Qiskit.ipynb		00_Introduction_to_Qiskit.ipynb
00_Introduction_to_the_Forest_SDK.ipynb		00_Introduction_to_the_Forest_SDK.ipynb
00_Practice_Assignment.ipynb		00_Practice_Assignment.ipynb
01_Classical_and_Quantum_Probability_Distributions-forest.ipynb		01_Classical_and_Quantum_Probability_Distributions-forest.ipynb
01_Classical_and_Quantum_Probability_Distributions-qiskit.ipynb		01_Classical_and_Quantum_Probability_Distributions-qiskit.ipynb
01_Classical_and_Quantum_Probability_Distributions.ipynb		01_Classical_and_Quantum_Probability_Distributions.ipynb
02_Measurements_and_Mixed_States-forest.ipynb		02_Measurements_and_Mixed_States-forest.ipynb
02_Measurements_and_Mixed_States-qiskit.ipynb		02_Measurements_and_Mixed_States-qiskit.ipynb
02_Measurements_and_Mixed_States.ipynb		02_Measurements_and_Mixed_States.ipynb
03_Evolution_in_Closed_and_Open_Systems-forest.ipynb		03_Evolution_in_Closed_and_Open_Systems-forest.ipynb
03_Evolution_in_Closed_and_Open_Systems-qiskit.ipynb		03_Evolution_in_Closed_and_Open_Systems-qiskit.ipynb
03_Evolution_in_Closed_and_Open_Systems.ipynb		03_Evolution_in_Closed_and_Open_Systems.ipynb
04_Classical_and_Quantum_Many-Body_Physics-forest.ipynb		04_Classical_and_Quantum_Many-Body_Physics-forest.ipynb
04_Classical_and_Quantum_Many-Body_Physics-qiskit.ipynb		04_Classical_and_Quantum_Many-Body_Physics-qiskit.ipynb
04_Classical_and_Quantum_Many-Body_Physics.ipynb		04_Classical_and_Quantum_Many-Body_Physics.ipynb
05_Gate-Model_Quantum_Computing-forest.ipynb		05_Gate-Model_Quantum_Computing-forest.ipynb
05_Gate-Model_Quantum_Computing-qiskit.ipynb		05_Gate-Model_Quantum_Computing-qiskit.ipynb
05_Gate-Model_Quantum_Computing.ipynb		05_Gate-Model_Quantum_Computing.ipynb
06_Adiabatic_Quantum_Computing.ipynb		06_Adiabatic_Quantum_Computing.ipynb
06_Adiabatic_Quantum_Computing_hw.ipynb		06_Adiabatic_Quantum_Computing_hw.ipynb
07_Variational_Circuits-forest.ipynb		07_Variational_Circuits-forest.ipynb
07_Variational_Circuits-qiskit.ipynb		07_Variational_Circuits-qiskit.ipynb
07_Variational_Circuits.ipynb		07_Variational_Circuits.ipynb
08_Sampling_a_Thermal_State-forest.ipynb		08_Sampling_a_Thermal_State-forest.ipynb
08_Sampling_a_Thermal_State-qiskit.ipynb		08_Sampling_a_Thermal_State-qiskit.ipynb
08_Sampling_a_Thermal_State.ipynb		08_Sampling_a_Thermal_State.ipynb
09_Discrete_Optimization_and_Ensemble_Learning-forest.ipynb		09_Discrete_Optimization_and_Ensemble_Learning-forest.ipynb
09_Discrete_Optimization_and_Ensemble_Learning-qiskit.ipynb		09_Discrete_Optimization_and_Ensemble_Learning-qiskit.ipynb
09_Discrete_Optimization_and_Ensemble_Learning.ipynb		09_Discrete_Optimization_and_Ensemble_Learning.ipynb
10_Discrete_Optimization_and_Unsupervised_Learning-forest.ipynb		10_Discrete_Optimization_and_Unsupervised_Learning-forest.ipynb
10_Discrete_Optimization_and_Unsupervised_Learning-qiskit.ipynb		10_Discrete_Optimization_and_Unsupervised_Learning-qiskit.ipynb
10_Discrete_Optimization_and_Unsupervised_Learning.ipynb		10_Discrete_Optimization_and_Unsupervised_Learning.ipynb
11_Kernel_Methods-forest.ipynb		11_Kernel_Methods-forest.ipynb
11_Kernel_Methods-qiskit.ipynb		11_Kernel_Methods-qiskit.ipynb
11_Kernel_Methods.ipynb		11_Kernel_Methods.ipynb
12_Training_Probabilistic_Graphical_Models.ipynb		12_Training_Probabilistic_Graphical_Models.ipynb
12_Training_Probabilistic_Graphical_Models_hw.ipynb		12_Training_Probabilistic_Graphical_Models_hw.ipynb
13_Quantum_Phase_Estimation-forest.ipynb		13_Quantum_Phase_Estimation-forest.ipynb
13_Quantum_Phase_Estimation.ipynb		13_Quantum_Phase_Estimation.ipynb
14_Quantum_Matrix_Inversion-forest.ipynb		14_Quantum_Matrix_Inversion-forest.ipynb
14_Quantum_Matrix_Inversion-qiskit.ipynb		14_Quantum_Matrix_Inversion-qiskit.ipynb
14_Quantum_Matrix_Inversion.ipynb		14_Quantum_Matrix_Inversion.ipynb
LICENSE		LICENSE
README.md		README.md
assignment_helper.py		assignment_helper.py
forest_tools.py		forest_tools.py

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