148 citations · 524 across the 18 of their papers we have counts for
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cond-mat.quant-gas2020
Heuristic machinery for thermodynamic studies of SU(N) fermions with neural networks
Entong Zhao, Jeongwon Lee, Chengdong He +4
The power of machine learning (ML) provides the possibility of analyzing experimental measurements with an unprecedented sensitivity. However, it still remains challenging to probe…
cond-mat.quant-gas2020★ 16 cited
Effective statistical fringe removal algorithm for high-sensitivity imaging of ultracold atoms
Bo Song, Chengdong He, Zejian Ren +3
High-sensitivity imaging of ultracold atoms is often challenging when interference patterns are imprinted on the imaging light. Such image noises result in low signal-to-noise rati…