38 citations · 137 across the 10 of their papers we have counts for
10 papers
Machine learning the arrow of time in solid-state spins
Xiang-Qian Meng, Zhide Lu, Ya-Nan Lu +9
Understanding the emergence of the thermodynamic arrow of time in microscopic systems is of fundamental importance, particularly given that unitary evolution preserves time-reversa…
Dynamical freezing and enhanced magnetometry in an interacting spin ensemble
Ya-Nan Lu, Dong Yuan, Yixuan Ma +10
Understanding and controlling non-equilibrium dynamics in quantum many-body systems is a fundamental challenge in modern physics, with profound implications for advancing quantum t…
Observation of topological prethermal strong zero modes
Feitong Jin, Si Jiang, Xuhao Zhu +42
Symmetry-protected topological phases cannot be described by any local order parameter and are beyond the conventional symmetry-breaking paradigm for understanding quantum matter.…
Prethermal Time-Crystalline Corner Modes
Si Jiang, Dong Yuan, Wenjie Jiang +2
We demonstrate the existence of prethermal discrete time crystals whose sub-harmonic response is entirely localized to zero-dimensional corner modes. Within the exponentially long…
Exact Quantum Many-Body Scars in Higher-Spin Kinetically Constrained Models
Dong Yuan, Shun-Yao Zhang, Dong-Ling Deng
We discover a variety of exact quantum many-body scars in higher-spin kinetically constrained models, through the recently developed DMRG-S algorithm [Zhang et al., Phys. Rev. Lett…
Embedding Quantum Many-Body Scars into Decoherence-Free Subspaces
He-Ran Wang, Dong Yuan, Shun-Yao Zhang +3
Quantum many-body scars are non-thermal excited eigenstates of non-integrable Hamiltonians, which could support coherent revival dynamics from special initial states when scars for…
Enhancing Quantum Adversarial Robustness by Randomized Encodings
Weiyuan Gong, Dong Yuan, Weikang Li +1
The interplay between quantum physics and machine learning gives rise to the emergent frontier of quantum machine learning, where advanced quantum learning models may outperform th…
Extracting Quantum Many-Body Scarred Eigenstates with Matrix Product States
Shun-Yao Zhang, Dong Yuan, Thomas Iadecola +2
Quantum many-body scarred systems host nonthermal excited eigenstates immersed in a sea of thermal ones. In cases where exact expressions for these special eigenstates are not know…
Quantum Information Scrambling in Quantum Many-body Scarred Systems
Dong Yuan, Shun-Yao Zhang, Yu Wang +2
Quantum many-body scarred systems host special non-thermal eigenstates that support periodic revival dynamics and weakly break the ergodicity. Here, we study the quantum informatio…
Solving the Liouvillian Gap with Artificial Neural Networks
Dong Yuan, He-Ran Wang, Zhong Wang +1
We propose a machine-learning inspired variational method to obtain the Liouvillian gap, which plays a crucial role in characterizing the relaxation time and dissipative phase tran…