1.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Zhejiang UniversityCN156 papers
- Chinese Academy of SciencesCN141 papers
- University of Chinese Academy of SciencesCN122 papers
- National Astronomical ObservatoriesCN107 papers
- Nanjing UniversityCN69 papers
- Peking UniversityCN64 papers
- Tsinghua UniversityCN54 papers
- Shanghai Astronomical ObservatoryCN53 papers
- Beijing Normal UniversityCN50 papers
- Purple Mountain ObservatoryCN50 papers
- University of Science and Technology of ChinaCN49 papers
- Shanghai Jiao Tong UniversityCN41 papers
7 papers · 2 filters
Validating quantum-supremacy experiments with exact and fast tensor network contraction
Yong Liu, Yaojian Chen, Chu Guo +11
The quantum supremacy experiment, such as Google Sycamore [Nature \textbf{574}, 505 (2019)], poses great challenge for classical verification due to the exponentially-increasing co…
Digital simulation of non-Abelian anyons with 68 programmable superconducting qubits
Shibo Xu, Zheng-Zhi Sun, Ke Wang +31
Non-Abelian anyons are exotic quasiparticle excitations hosted by certain topological phases of matter. They break the fermion-boson dichotomy and obey non-Abelian braiding statist…
A universal programmable Gaussian Boson Sampler for drug discovery
Shang Yu, Zhi-Peng Zhong, Yuhua Fang +21
Gaussian Boson Sampling (GBS) exhibits a unique ability to solve graph problems, such as finding cliques in complex graphs. It is noteworthy that many drug discovery tasks can be v…
Sensitivity-enhanced magnetometry using nitrogen-vacancy ensembles via adaptively complete transitions overlapping
Bao Chen, Bing Chen, Xinyi Zhu +3
Nitrogen-vacancy (NV) centers in diamond are suitable sensors of high-sensitivity magnetometry which have attracted much interest in recent years. Here, we demonstrate sensitivity-…
Preserving Entanglement in a Solid-Spin System Using Quantum Autoencoders
Feifei Zhou, Yu Tian, Yumeng Song +6
Entanglement, as a key resource for modern quantum technologies, is extremely fragile due to the decoherence. Here, we show that a quantum autoencoder, which is trained to compress…
Experimental quantum adversarial learning with programmable superconducting qubits
Wenhui Ren, Weikang Li, Shibo Xu +21
Quantum computing promises to enhance machine learning and artificial intelligence. Different quantum algorithms have been proposed to improve a wide spectrum of machine learning t…
Noise prediction and reduction of single electron spin by deep-learning-enhanced feedforward control
Nanyang Xu, Feifei Zhou, Xiangyu Ye +7
Noise-induced control imperfection is an important problem in applications of diamond-based nano-scale sensing, where measurement-based strategies are generally utilized to correct…