3 papers
cond-mat.mes-hall2025
Why is topology hard to learn?
D. O. Oriekhov, Stan Bergkamp, Guliuxin Jin +5
Much attention has been devoted to the use of machine learning to approximate physical concepts. Yet, due to challenges in interpretability of machine learning techniques, the ques…
quant-ph2025
Dynamical localization in 2D topological quantum random walks
D. O. Oriekhov, Guliuxin Jin, Eliska Greplova
We study the dynamical localization of discrete time evolution of topological split-step quantum random walk (QRW) on a single-site defect starting from a uniform distribution. Usi…
cond-mat.mes-hall2024
Topological finite size effect in one-dimensional chiral symmetric systems
Guliuxin Jin, D. O. Oriekhov, Lukas Johannes Splitthoff +1
Topological phases of matter have been widely studied for their robustness against impurities and disorder. The broad applicability of topological materials relies on the reliable…