Q-GAIN is a Python package implementing ML classification, object detection, and physics-informed metrics for analyzing images of atomic BECs, demonstrated on MNIST, soliton detection, and vortex identification tasks.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cond-mat.quant-gas 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Q-GAIN: A Python Package for Machine Learning and Physically Informed Analysis Applications
Q-GAIN is a Python package implementing ML classification, object detection, and physics-informed metrics for analyzing images of atomic BECs, demonstrated on MNIST, soliton detection, and vortex identification tasks.