16 citations · 18 across the 3 of their papers we have counts for
4 papers
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…
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…
Quantum Amplitude Amplification Operators
Hyeokjea Kwon, Joonwoo Bae
In this work, we show the characterization of quantum iterations that would generally construct quantum amplitude amplification algorithms with a quadratic speedup, namely, quantum…
A hybrid quantum-classical approach to mitigating measurement errors
Hyeokjea Kwon, Joonwoo Bae
When noisy intermediate scalable quantum (NISQ) devices are applied in information processing, all of the stages through preparation, manipulation, and measurement of multipartite…