qiskit-community / prototype-quantum-kernel-training

Toolkit for training quantum kernels in machine learning applications
https://arxiv.org/abs/2105.03406
Apache License 2.0
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Change inline notebook images to links #5

Closed garrison closed 2 years ago

garrison commented 2 years ago

Preview at https://github.com/IBM-Quantum-Prototypes/quantum-kernel-training/blob/linkify-images/docs/background/qkernels_and_data_w_group_structure.ipynb

Works around https://github.com/jupyter/notebook/issues/3278#issuecomment-992752682.

Comments on wording welcome.

jenglick commented 2 years ago

Suggested wording for that last paragraph:

To define our problem instances, we'll pick two different subgraphs, one for 7 qubits and one for 10 qubits, shown in this (linked) image. Then, using the parametrized fiducial state in Eq. (3), we train the quantum kernel with QKA to learn a set of parameters.