407 citations · 3.9k across the 91 of their papers we have counts for
91 papers
Realizing Non-Physical Actions through Hermitian-Preserving Map Exponentiation
Fuchuan Wei, Zhenhuan Liu, Guoding Liu +4
Quantum mechanics features a variety of distinct properties such as coherence and entanglement, which could be explored to showcase potential advantages over classical counterparts…
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…
Configured Quantum Reservoir Computing for Multi-Task Machine Learning
Wei Xia, Jie Zou, Xingze Qiu +5
Amidst the rapid advancements in experimental technology, noise-intermediate-scale quantum (NISQ) devices have become increasingly programmable, offering versatile opportunities to…
Theory on variational high-dimensional tensor networks
Zidu Liu, Qi Ye, Li-Wei Yu +2
Tensor network methods are powerful tools for studying quantum many-body systems. In this paper, we investigate the emergent statistical properties of random high-dimensional tenso…
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…