arXiv Machine Learning July 3, 2026 By M. Doris, S. Guo, S. M. Koh, L. Ritter, A. R. Fritsch, S. Mukherjee, I. B. Spielman, J. P. Zwolak

Q-GAIN: A Python Package for Machine Learning and Physically Informed Analysis Applications

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arXiv:2607. 02413v1 Announce Type: cross Abstract: Here we describe the quantum gas analysis and inference (Q-GAIN) Python package, which enables rapid deployment of machine learning (ML) and physics-informed analysis techniques for cold-atom experiments.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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