36 citations · 65 across the 7 of their papers we have counts for
7 papers
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…
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…
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…
Gate-tunable phase transition in a bosonic Su-Schrieffer-Heeger chain
Lukas Johannes Splitthoff, Miguel Carrera Belo, Guliuxin Jin +3
Metamaterials engineered to host topological states of matter in controllable quantum systems hold promise for the advancement of quantum simulations and quantum computing technolo…
Topological Entanglement Stabilization in Superconducting Quantum Circuits
Guliuxin Jin, Eliska Greplova
Topological properties of quantum systems are one of the most intriguing emerging phenomena in condensed matter physics. A crucial property of topological systems is the symmetry-p…
Scalable Hamiltonian learning for large-scale out-of-equilibrium quantum dynamics
Agnes Valenti, Guliuxin Jin, Julian Léonard +2
Large-scale quantum devices provide insights beyond the reach of classical simulations. However, for a reliable and verifiable quantum simulation, the building blocks of the quantu…
Topological dynamics of gyroscopic and Floquet lattices from Newton's laws
Ching Hua Lee, Guangjie Li, Guliuxin Jin +2
Despite intense interest in realizing topological phases across a variety of electronic, photonic and mechanical platforms, the detailed microscopic origin of topological behavior…