26 citations · 76 across the 7 of their papers we have counts for
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Experimental realization of Wheeler's delayed-choice experiment with dual selections
Xiaowan Yang, Xinglei Yu, Liangsheng Li +5
Wheeler's delayed-choice experiment demonstrates wave-particle duality of particles using different experimental configurations of a Mach-Zehnder interferometer. In a quantum versi…
Experimental quantification of quantum coherence for a set of quantum states
Tianle Zheng, Liangsheng Li, Wenting Zhou +1
We present a direct experimental verification of quantum coherence for a set of quantum states in a basis-independent manner. We find that the theory of quantum coherence for a set…
Factorization dynamics between quantum Fisher information and quantum coherence
Xinzhi Zhao, Xinglei Yu, Liangsheng Li +2
Quantum Fisher information (QFI) quantifies the sensitivity of a quantum state to a parameter change and plays a key role in quantum metrology. Meanwhile, quantum coherence is a cr…
Toward Heisenberg Scaling in Non-Hermitian Metrology at the Quantum Regime
Xinglei Yu, Xinzhi Zhao, Liangsheng Li +4
Non-Hermitian quantum metrology, an emerging field at the intersection of quantum estimation and non-Hermitian physics, holds promise for revolutionizing precision measurement. Her…
Genuine multipartite entanglement verification with convolutional neural networks
Yi-Jun Luo, Xuan Leng, Chengjie Zhang
In recent years, the detection of genuine multipartite entanglement (GME) via machine learning has received scant attention. Here, we employ convolutional neural networks (CNNs), a…
Experimental investigation of uncertainty relations for non-Hermitian operators
Xinzhi Zhao, Xinglei Yu, Wenting Zhou +4
Uncertainty relations for Hermitian operators have been confirmed through many experiments. However, previous experiments have only tested the special case of non-Hermitian operato…
Detecting genuine multipartite entanglement via machine learning
Yi-Jun Luo, Jin-Ming Liu, Chengjie Zhang
In recent years, supervised and semi-supervised machine learning methods such as neural networks, support vector machines (SVM), and semi-supervised support vector machines (S4VM)…