Datasets
Models
30 lines (29 with data), 3.3 kB
The following are modifications or improvements to original notebooks prior to August 31, 2023.
All PennyLane Python Quantum Machine Learning Demos 8/31/23 Seminar.
Please refer to the authors' models for the published primary work.
PL13 Equivariant Graph Original PennyLane Model,
PL14 Time Series Original PennyLane Model,
PL15 Geometric QML Original PennyLane Model,
PL16 Generalization in QML Original PennyLane Model,
PL17 Function Fitting Original PennyLane Model,
PL18 Many Body Original PennyLane Model,
PL19 Learn from Experiments, Classification Original PennyLane Model,
PL20 Tensor Network Original PennyLane Model,
PL21 Approximate Kernel Original PennyLane Model,
PL22 Quantum GANs Original PennyLane Model,
PL23 Unitary Designs Original PennyLane Model,
PL24 Quantum Kernels, Classification Original PennyLane Model,
PL25 Haar Measure Original PennyLane Model,
PL26 Learn QNNs, Speed Original PennyLane Model,
PL27 Kernel Scikit-Learn Original PennyLane Model,
PL28 Keras Layers Original PennyLane Model,
PL29 Torch Layers Original PennyLane Model,
PL30 Fourier Series Original PennyLane Model,
PL31 Quantum Graph RNN Original PennyLane Model,
PL32 Quanvolutional NN Original PennyLane Model,
PL33 Ensemble Classification Original PennyLane Model,
PL34 Quantum Transfer Learning Original PennyLane Model,
PL35 Photonic Quantum NN Original PennyLane Model,
PL36 GANs Cirq TensorFlow Original PennyLane Model,
PL37 Data-Reuploading Original PennyLane Model,
PL38 Variational Classifier Original PennyLane Model.