282 citations · 1.2k across the 35 of their papers we have counts for
3 papers · 1 filter
Deep learning of topological phase transitions from entanglement aspects: An unsupervised way
Yuan-Hong Tsai, Kuo-Feng Chiu, Yong-Cheng Lai +5
Machine learning techniques have been shown to be effective to recognize different phases of matter and produce phase diagrams in the parameter space interested, while they usually…
Deep learning of topological phase transitions from entanglement aspects for two-dimensional chiral p-wave superconductors
Ming-Chiang Chung, Tsung-Pao Cheng, Guang-Yu Huang +1
Applying deep learning to investigate topological phase transitions (TPTs) becomes a useful method due to not only its ability to recognize patterns but also its statistical excell…
Effect of the lattice alignment on Bloch oscillations of a Bose-Einstein condensate in a square optical lattice
M. -C. Chung, A. R. Kolovsky
We consider a Bose-Einstein condensate of ultracold atoms loaded into a square optical lattice and subject to a static force. For vanishing atom-atom interactions the atoms perform…