42 citations · 123 across the 15 of their papers we have counts for
4 papers · 1 filter
Prethermal ripplons in quenched binary Bose-Einstein condensates
Yanda Geng, Stephen Eckel, Gretchen K. Campbell +1
Prethermal states--long-lived quasi-equilibrium configurations--occur in a wide range of physical systems that exhibit fast dephasing or reconfiguration followed by slow relaxation…
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…
Can machine learning for quantum-gas experiments be explainable?
I. B. Spielman amd J. P. Zwolak
Virtually all aspects of many-body atomic physics are challenging: experiments are technically demanding, datasets have become enormous, and the memory and CPU requirements for cla…
Repeated weak measurements: watching quantum correlations evolve
Emine Altuntas, Ian B. Spielman
Experimental access to many-body quantum systems is often limited by measurement backaction, and key dynamical properties are typically obtained by perturbing a system and measurin…