Closed garrison closed 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.
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.