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Since the theoretical benefits of Pegasos relate to its ability to train the kernel efficiently, supporting trainable quantum kernels would be useful.
The publicly accessible code for the following paper implements a version of Pegasos that is able to train parameterised quantum kernels, but it is implemented in Qiskit version 0.42.1. https://ieeexplore.ieee.org/document/10313634
The text was updated successfully, but these errors were encountered:
What should we add?
The current version of the Pegasos Quantum Support Vector Classifier does not natively support the training of the parameters in the quantum kernel.
https://qiskit-community.github.io/qiskit-machine-learning/tutorials/07_pegasos_qsvc.html
Since the theoretical benefits of Pegasos relate to its ability to train the kernel efficiently, supporting trainable quantum kernels would be useful.
The publicly accessible code for the following paper implements a version of Pegasos that is able to train parameterised quantum kernels, but it is implemented in Qiskit version 0.42.1.
https://ieeexplore.ieee.org/document/10313634
The text was updated successfully, but these errors were encountered: