3 papers
cs.LG2026
Toward Generative Quantum Utility via Correlation-Complexity Map
Chen-Yu Liu, Leonardo Placidi, Eric Brunner +1
We study a practical question in generative quantum machine learning: given a classical dataset, can we determine, before training, whether it is well suited to a quantum generativ…
quant-ph2024
Lindblad engineering for quantum Gibbs state preparation under the eigenstate thermalization hypothesis
Eric Brunner, Luuk Coopmans, Gabriel Matos +3
Building upon recent progress in Lindblad engineering for quantum Gibbs state preparation algorithms, we propose a simplified protocol that is shown to be efficient under the eigen…
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…