1 citations · 1 across the 1 of their papers we have counts for
6 papers
Tangle of Spin Double Helices in the Honeycomb Kitaev- Model
Jheng-Wei Li, Nihal Rao, Jan von Delft +2
We investigate the ground-state nature of the honeycomb Kitaev- model in the material-relevant parameter regime through a combination of classical and quantum simulations. The c…
Machine-Learned Phase Diagrams of Generalized Kitaev Honeycomb Magnets
Nihal Rao, Ke Liu, Marc Machaczek +1
We use a recently developed interpretable and unsupervised machine-learning method, the tensorial kernel support vector machine (TK-SVM), to investigate the low-temperature classic…
Inferring Hidden Symmetries of Exotic Magnets from Detecting Explicit Order Parameters
Nihal Rao, Ke Liu, Lode Pollet
An unconventional magnet may be mapped onto a simple ferromagnet by the existence of a high-symmetry point. Knowledge of conventional ferromagnetic systems may then be carried over…
Weak-measurement-induced phases and dephasing: broken symmetry of the geometric phase
Kyrylo Snizhko, Nihal Rao, Parveen Kumar +1
Coherent steering of a quantum state, induced by a sequence of weak measurements, has become an active area of theoretical and experimental study. For a closed steered trajectory,…
Weak-measurement-induced asymmetric dephasing: manifestation of intrinsic measurement chirality
Kyrylo Snizhko, Parveen Kumar, Nihal Rao +1
Geometrical dephasing is distinct from dynamical dephasing in that it depends on the trajectory traversed, hence it reverses its sign upon flipping the direction in which the path…
Revealing the Phase Diagram of Kitaev Materials by Machine Learning: Cooperation and Competition between Spin Liquids
Ke Liu, Nicolas Sadoune, Nihal Rao +2
Kitaev materials are promising materials for hosting quantum spin liquids and investigating the interplay of topological and symmetry-breaking phases. We use an unsupervised and in…