133 citations · 601 across the 31 of their papers we have counts for
15 papers · 1 filter
Temperature-dependent behaviors of single spin defects in solids determined with Hz-level precision
Shaoyi Xu, Mingzhe Liu, Tianyu Xie +6
Revealing the properties of single spin defects in solids is essential for quantum applications based on solid-state systems. However, it is intractable to investigate the temperat…
99.92%-Fidelity CNOT Gates in Solids by Filtering Time-dependent and Quantum Noises
Tianyu Xie, Zhiyuan Zhao, Shaoyi Xu +6
Inevitable interactions with the reservoir largely degrade the performance of non-local gates, which hinders practical quantum computation from coming into existence. Here we exper…
Observation of uniaxial strain tuned spin cycloid in a freestanding BiFeO3 film
Zhe Ding, Yumeng Sun, Ningchong Zheng +10
Non-collinear spin order that breaks space inversion symmetry and allows efficient electric-field control of magnetism makes BiFeO a promising candidate for applications in low…
Observation of Floquet topological phases with large Chern numbers
Kai Yang, Shaoyi Xu, Longwen Zhou +7
One of the most intriguing advantage of Floquet engineering is to generate new phases with large topological invariants. In this work, we experimentally simulate a periodically que…
Experimental investigation of quantum correlations in a two-qutrit spin system
Yue Fu, Wenquan Liu, Xiangyu Ye +5
We report an experimental investigation of quantum correlations in a two-qutrit spin system in a single nitrogen-vacancy center in diamond at room temperatures. Quantum entanglemen…
Picotesla magnetometry of microwave fields with diamond sensors
Zhecheng Wang, Fei Kong, Pengju Zhao +5
Developing robust microwave-field sensors is both fundamentally and practically important with a wide range of applications from astronomy to communication engineering. The Nitroge…
Sub-nanotesla Sensitivity at the Nanoscale with a Single Spin
Zhiyuan Zhao, Xiangyu Ye, Shaoyi Xu +7
High-sensitivity detection of microscopic magnetic field is essential in many fields. Good sensitivity and high spatial resolution are mutually contradictory in measurement, which…
Experimental violation of the Leggett-Garg inequality with a single-spin system
Maimaitiyiming Tusun, Wei Cheng, Zihua Chai +4
Investigation the boundary between quantum mechanical description and classical realistic view is of fundamental importance. The Leggett-Garg inequality provides a criterion to dis…
-limited dc Quantum Magnetometry via Flux Modulation
Yijin Xie, Caijin Xie, Yunbin Zhu +8
High-sensitivity magnetometry is of critical importance to the fields of biomagnetism and geomagnetism. However, the magnetometry for the low-frequency signal detection meets the c…
Self-aligned patterning technique for fabricating high-performance diamond sensor arrays with nanoscale precision
Mengqi Wang, Haoyu Sun, Xiangyu Ye +7
To efficiently align the creation of defect center with photonics structure in nanoscale precision is one of the outstanding challenges for realizing high-performance photonic devi…
Preserving multi-level quantum coherence by dynamical decoupling
Xinxing Yuan, Yue Li, Mengxiang Zhang +6
Quantum information processing with multi-level systems (qudits) provides additional features and applications than the two-level systems. However, qudits are more prone to dephasi…
Spin Quantum Heat Engine Quantified by Quantum Steering
Wentao Ji, Zihua Chai, Mengqi Wang +6
Following the rising interest in quantum information science, the extension of a heat engine to the quantum regime by exploring microscopic quantum systems has seen a boom of inter…
Experimental Constraints on Exotic Spin-Dependent Interactions by a Magnetometer with Ensembles of Nitrogen-Vacancy Centers in Diamond
Hang Liang, Man Jiao, Yue Huang +7
Improved constraints on exotic spin-dependent interactions are established at the micrometer scale by a magnetometer with ensembles of nitrogen-vacancy (NV) centers in diamond. A t…
Quantum Anomaly Detection with a Spin Processor in Diamond
Zihua Chai, Ying Liu, Mengqi Wang +5
In the processing of quantum computation, analyzing and learning the pattern of the quantum data are essential for many tasks. Quantum machine learning algorithms can not only deal…
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…