arXiv Machine Learning By Andrew Qing He, Wei Cai, Sihong Shao

Weak Adversarial Neural Pushforward Method for the Wigner Transport Equation

Read the original on arXiv Machine Learning →

arXiv:2604. 08763v2 Announce Type: replace-cross Abstract: We extend the Weak Adversarial Neural Pushforward Method to the Wigner transport equation governing the phase-space dynamics of quantum systems.

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arXiv AI
Jun 16

Optimal Transport for Machine Learners

arXiv:2505. 06589v2 Announce Type: replace-cross Abstract: Modern machine learning repeatedly manipulates probability measures: empirical datasets, generated samples, latent distributions, class-conditional laws, particle systems, weights of wide networks and attention patterns.

By Gabriel Peyr\'e
arXiv AI
Jun 19

AI-enhanced tuning of quantum dot Hamiltonians toward Majorana modes

arXiv:2601. 02149v4 Announce Type: replace-cross Abstract: We propose a neural network-based model capable of learning the broad landscape of working regimes in quantum dot simulators, and using this knowledge to autotune these devices - based on transport measurements - toward obtaining Majorana modes in the structure.

By Mateusz Krawczyk, Jaros{\l}aw Paw{\l}owski