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cond-mat.quant-gas2026
Q-GAIN: A Python Package for Machine Learning and Physically Informed Analysis Applications
M. Doris, S. Guo, S. M. Koh +5
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 fo…
cond-mat.quant-gas2025
Efficient production of sodium Bose-Einstein condensates in a hybrid trap
Yanda Geng, Shouvik Mukherjee, Swarnav Banik +6
We describe an apparatus that efficiently produces Na Bose-Einstein condensates (BECs) in a hybrid trap that combines a quadrupole magnetic field with a far-detuned optical…
cond-mat.quant-gas2024★ 4 cited
The Rayleigh-Taylor instability in a binary quantum fluid
Yanda Geng, Junheng Tao, Mingshu Zhao +4
Instabilities, where small fluctuations seed the formation of large-scale structures, govern dynamics in a variety of fluid systems. The Rayleigh-Taylor instability (RTI), present…