69 citations · 72 across the 2 of their papers we have counts for
5 papers
Experimental demonstration of adversarial examples in learning topological phases
Huili Zhang, Si Jiang, Xin Wang +7
Classification and identification of different phases and the transitions between them is a central task in condensed matter physics. Machine learning, which has achieved dramatic…
Observation of non-Hermitian topology with non-unitary dynamics of solid-state spins
Wengang Zhang, Xiaolong Ouyang, Xianzhi Huang +7
Non-Hermitian topological phases exhibit a number of exotic features that have no Hermitian counterparts, including the skin effect and breakdown of the conventional bulk-boundary…
Entangling Nuclear Spins by Dissipation in a Solid-state System
Xin Wang, Huili Zhang, Wengang Zhang +7
Entanglement is a fascinating feature of quantum mechanics and a key ingredient in most quantum information processing tasks. Yet the generation of entanglement is usually hampered…
Experimental Test of Leggett's Inequalities with Solid-State Spins
Xianzhi Huang, Xiaolong Ouyang, Wenqian Lian +9
Bell's theorem states that no local hidden variable model is compatible with quantum mechanics. Surprisingly, even if we release the locality constraint, certain nonlocal hidden va…
Machine Learning Topological Phases with a Solid-state Quantum Simulator
Wenqian Lian, Sheng-Tao Wang, Sirui Lu +11
We report an experimental demonstration of a machine learning approach to identify exotic topological phases, with a focus on the three-dimensional chiral topological insulators. W…