activity
19962024
most citedNematic order in square lattice frustrated ferromagnets

322 citations · 3.6k across the 81 of their papers we have counts for

collaborators

80 papers

cond-mat.str-el2024★ 15 cited

Eight-color chiral spin liquid in the bilinear-biquadratic model with Kitaev interactions

Rico Pohle, Nic Shannon, Yukitoshi Motome

Multipolar spin systems provide a rich ground for the emergence of unexpected states of matter due to their enlarged spin degree of freedom. In this study, with a specific emphasis…

cond-mat.str-el2024★ 4 cited

Human-machine collaboration: ordering mechanism of rank-2 spin liquid on breathing pyrochlore lattice

Nicolas Sadoune, Ke Liu, Han Yan +3

Machine learning algorithms thrive on large data sets of good quality. Here we show that they can also excel in a typical research setting with little data of limited quality, thro…

cond-mat.str-el2023★ 9 cited

Gravitational wave analogues in spin nematics and cold atoms

Leilee Chojnacki, Rico Pohle, Han Yan +2

Many large-scale phenomena in our Universe, such as gravitational waves, are challenging to reproduce in laboratory settings. However, parallels with condensed matter systems can p…

cond-mat.str-el2023★ 2 cited

Pinch points and half moons encode Berry curvature

Han Yan, Judit Romhányi, Andreas Thomasen +1

"Half moons", distinctive crescent patterns in the dynamical structure factor, have been identified in inelastic neutron scattering experiments for a wide range of frustrated magne…

cond-mat.str-el2022★ 38 cited

Spin Nematics Meet Spin Liquids: Exotic Quantum Phases in the Spin- Bilinear-Biquadratic Model with Kitaev Interactions

Rico Pohle, Nic Shannon, Yukitoshi Motome

Spin liquid crystals are magnetic analogs of liquid crystals, possessing properties of both liquids and solids, a typical example of which are spin nematics. Spin nematics share ma…

quant-ph2022★ 17 cited

Solution of SAT Problems with the Adaptive-Bias Quantum Approximate Optimization Algorithm

Yunlong Yu, Chenfeng Cao, Xiang-Bin Wang +2

The quantum approximate optimization algorithm (QAOA) is a promising method for solving certain classical combinatorial optimization problems on near-term quantum devices. When emp…