From the 7 of 186 papers with an AI index.
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- Tsinghua UniversityCN57 papers
- Institute of Modern PhysicsCN56 papers
- Peking UniversityCN55 papers
- University of Science and Technology of ChinaCN53 papers
- South China Normal UniversityCN48 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT47 papers
- University of TarapacáCL46 papers
- Zhejiang UniversityCN46 papers
- Beihang UniversityCN44 papers
- National Centre for Nuclear ResearchPL44 papers
- University of TurinIT44 papers
- Carnegie Mellon UniversityUS43 papers
10 papers · 1 filter
Quantum Nonlocality under Latency Constraints
Dawei Ding, Zhengfeng Ji, Pierre Pocreau +2
The paper extends Bell inequality theory by explicitly incorporating spacetime latency constraints, introducing latency‑constrained games to compare classical and quantum correlati…
Observation of flat-band skin effect
Xulong Wang, Dongyi Wang, Congwei Lu +4
Symmetry-protected ideal flat bands in one-dimensional (1D) Hermitian lattices are populated by compact localized states (CLS) - a special class of localization with wavefunctions…
Transit Noise in Spin Squeezing Experiments with Coated Rubidium Vapor Cell
Yujie Ji, Peiying Li, Yanhong Xiao +2
Spin squeezing can suppress quantum projection noise via interparticle entanglement, therefore enabling measurement sensitivities beyond the standard quantum limit. In practice, ho…
Taming Trotter Errors with Quantum Resources
Xiangran Zhang, Jue Xu, Qi Zhao +1
Quantum simulation is a cornerstone application of quantum computing, yet how fundamental quantum resources--entanglement and non-stabilizerness (``magic")--shape simulation fideli…
Certifying entanglement dimensionality by -reduction moments
Changhao Yi, Xiaodi Li, Huangjun Zhu
In this paper, we combine the k-reduction map, the moment method, and the classical shadow method into a practical protocol for certifying the entanglement dimensionality. Our appr…
High-Accuracy Temporal Prediction via Experimental Quantum Reservoir Computing in Correlated Spins
Yanjun Hou, Juncheng Hua, Ze Wu +6
Physical reservoir computing provides a powerful machine learning paradigm that exploits nonlinear physical dynamics for efficient information processing. By incorporating quantum…