2 papers
quant-ph2024
Machine-learning certification of multipartite entanglement for noisy quantum hardware
Andreas J. C. Fuchs, Eric Brunner, Jiheon Seong +5
Entanglement is a fundamental aspect of quantum physics, both conceptually and for its many applications. Classifying an arbitrary multipartite state as entangled or separable -- a…
quant-ph2024
Feature Map for Quantum Data in Classification
Hyeokjea Kwon, Hojun Lee, Joonwoo Bae
The kernel trick in supervised learning signifies transformations of an inner product by a feature map, which then restructures training data in a larger Hilbert space according to…