no code implementations • 22 Nov 2023 • Beng Yee Gan, Daniel Leykam, Supanut Thanasilp
In this work we combine all trace-induced quantum kernels, including the commonly-used global fidelity and local projected quantum kernels, into a common framework.
no code implementations • 12 Jul 2021 • Beng Yee Gan, Daniel Leykam, Dimitris G. Angelakis
The data-embedding process is one of the bottlenecks of quantum machine learning, potentially negating any quantum speedups.