You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Create a loss function inherited from SVCLoss using data batcher functions as described in [1].
Add it to existing kernel alignment notebook.
[1] Sahin, M. E., Symons, B. C., Pati, P., Minhas, F., Millar, D., Gabrani, M., ... & Mensa, S. (2024). Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training. arXiv preprint arXiv:2401.02879.
The text was updated successfully, but these errors were encountered:
SVCLoss
using data batcher functions as described in [1].[1] Sahin, M. E., Symons, B. C., Pati, P., Minhas, F., Millar, D., Gabrani, M., ... & Mensa, S. (2024). Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training. arXiv preprint arXiv:2401.02879.
The text was updated successfully, but these errors were encountered: