no code implementations • 5 Jul 2023 • Keiichi Tamai, Tsuyoshi Okubo, Truong Vinh Truong Duy, Naotake Natori, Synge Todo
More specifically, we study the order-to-chaos transition in the fully-connected feedforward neural networks and the convolutional ones to show that (i) there is a well-defined transition from the ordered state to the chaotics state even for the finite networks, and (ii) difference in architecture is reflected in that of the universality class of the transition.
no code implementations • 21 Aug 2019 • Hyun-Yong Lee, Ryui Kaneko, Li Ern Chern, Tsuyoshi Okubo, Youhei Yamaji, Naoki Kawashima, Yong Baek Kim
Recent discovery of the half quantized thermal Hall conductivity in $\alpha$-RuCl$_3$, a candidate material for the Kitaev spin liquid, suggests the presence of a highly entangled quantum state in external magnetic fields.
Strongly Correlated Electrons
no code implementations • 4 Jul 2019 • Hyun-Yong Lee, Ryui Kaneko, Tsuyoshi Okubo, Naoki Kawashima
In particular, the variational energy of the LG state becomes exact(within machine precision) at two limits in the model, and the criticality at one of those is analytically derived from the LG feature.
Strongly Correlated Electrons Statistical Mechanics
no code implementations • 17 Jan 2019 • Hyun-Yong Lee, Ryui Kaneko, Tsuyoshi Okubo, Naoki Kawashima
We provide a framework for understanding the gapless Kitaev spin liquid (KSL) in the language of tensor network(TN).
Strongly Correlated Electrons Quantum Gases Statistical Mechanics
