Revisiting the dynamics of Bose-Einstein condensates in a double well by deep learning with a hybrid network

Fast Correlated-Photon Imaging Enhanced by Deep Learning

(2021) Zhan-Ming Li et al.   Optica

Machine Learning Non-Markovian Quantum Dynamics

(2020) I. A. Luchnikov et al.   PHYSICAL REVIEW LETTERS

Deep Learning for Feynman’s Path Integral in Strong-Field Time-Dependent Dynamics

(2020) Xiwang Liu et al.   PHYSICAL REVIEW LETTERS

Practical Phase-Modulation Stabilization in Quantum Key Distribution via Machine Learning

(2019) Jing-Yang Liu et al.   Physical Review Applied

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans

(2019) Lingxi Xie et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Neural-network quantum state tomography

(2018) Giacomo Torlai et al.   Nature Physics

Machine Learning Topological Invariants with Neural Networks

(2018) Pengfei Zhang et al.   PHYSICAL REVIEW LETTERS

Effective two-mode description of a few ultra-cold bosons in a double-well potential

(2018) Jacek Dobrzyniecki et al.   PHYSICS LETTERS A

Generation of Bose-Einstein Condensates’ Ground State Through Machine Learning

(2018) Xiao Liang et al.   Scientific Reports

Learning phase transitions by confusion

(2017) Evert P. L. van Nieuwenburg et al.   Nature Physics

Machine learning phases of matter

(2017) Juan Carrasquilla et al.   Nature Physics

Crossing Over from Attractive to Repulsive Interactions in a Tunneling Bosonic Josephson Junction

(2017) G. Spagnolli et al.   PHYSICAL REVIEW LETTERS

Solving the quantum many-body problem with artificial neural networks

(2017) Giuseppe Carleo et al.   SCIENCE

Quantum-Enhanced Machine Learning

(2016) Vedran Dunjko et al.   PHYSICAL REVIEW LETTERS

Josephson effect in fermionic superfluids across the BEC-BCS crossover

(2015) G. Valtolina et al.   SCIENCE

Dynamics in asymmetric double-well condensates

(2014) H. M. Cataldo et al.   PHYSICAL REVIEW A

Ordering of Small Particles in One-Dimensional Coherent Structures by Time-Periodic Flows

(2011) D. O. Pushkin et al.   PHYSICAL REVIEW LETTERS

Machine Learning for Precise Quantum Measurement

(2010) Alexander Hentschel et al.   PHYSICAL REVIEW LETTERS