qiskit-metapackage
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Review all the qiskit-machine-learning tutorials
According to @Guillermo-Mijares-Vilarino, these are the tasks included in this issue:
- [x] Add notes and comments to the tutorials.
- [x] Quantum Neural Networks
- [x] Neural Network Classifier & Regressor
- [x] Quantum Kernel Machine Learning
- [x] qGANs for Loading Random Distributions
- [x] Torch Connector and Hybrid QNNs
- [x] Torch Runtime
- [x] Pegasos Quantum Support Vector Classifier
- [x] Quantum Kernel Training for Machine Learning Applications
- [x] Saving, Loading Qiskit Machine Learning Models and Continuous Training
- [x] Effective Dimension of Qiskit Neural Networks
- [x] Check and improve the checklist
- [x] Use the checklist to review the tutorials
- [x] Quantum Neural Networks
- [x] Neural Network Classifier & Regressor
- [x] Quantum Kernel Machine Learning
- [x] qGANs for Loading Random Distributions
- [x] Torch Connector and Hybrid QNNs
- [x] Torch Runtime
- [x] Pegasos Quantum Support Vector Classifier
- [x] Quantum Kernel Training for Machine Learning Applications
- [x] Saving, Loading Qiskit Machine Learning Models and Continuous Training
- [x] Effective Dimension of Qiskit Neural Networks
I'll do this.
All done. Here are all of my comments.
We are currently focused on the qiskit-tutorials at the moment. This is put on hold.