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Efficient Parameter Optimisation for Quantum Kernel Alignment: A
  Sub-sampling Approach in Variational Training

Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training

5 January 2024
M. E. Sahin
Benjamin C. B. Symons
Pushpak Pati
F. Minhas
Declan Millar
M. Gabrani
J. Robertus
Stefano Mensa
ArXiv (abs)PDFHTML

Papers citing "Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training"

1 / 1 papers shown
Qiskit Machine Learning: an open-source library for quantum machine learning tasks at scale on quantum hardware and classical simulators
M. E. Sahin
Edoardo Altamura
Oscar Wallis
Stephen P. Wood
Anton Dekusar
Declan Millar
Takashi Imamichi
Atsushi Matsuo
Stefano Mensa
VLMAI4CE
194
11
0
23 May 2025
1