类别
职称
邮件
bsanders@ustc.edu.cn
地址
物质楼B1207-1
个人简介
Our research is focused on using the rich theory of Quantum Mechanics to advance the knowledge of physical phenomena, protocols and their implementation. Current areas of research include machine learning to control nonlinear quantum systems, classical and quantum algorithms for simulation, wavelet theory, collective Rydberg blockade and its application to many body Physics, scalable quantum networks, quantum walks, topological orders, quantum annealing, measures of coherence, quantum channels and their decomposition, quantum cryptography and classical discord.
相关论文
- Observation of topological edge states in parity-time-symmetric quantum walks. Nature Physics 13, 1117-1123 (2017).
- Strong Coherent Light Amplification with Double Electromagnetically Induced Transparency Coherences. Scientific Reports 7, 1-8 (2017).
- Cooperative light scattering in any dimension. Physical Review A 95, 1-5 (2017).
- Unity-Efficiency Parametric Down-Conversion via Amplitude Amplification. Physical Review Letters 118, 1-6 (2017).
- Hybrid mode tunability in metamaterial nanowaveguides. Optical Engineering 56, 027105-027105 (2017).
- Loophole-Free Bell Tests and the Falsification of Local Realism. Journal of Student Science and Technology 10, 23-31 (2017).
- Learning in quantum control: High-dimensional global optimization for noisy quantum dynamics. Neurocomputing 268, 116-126 (2017).
- Creating cat states in one-dimensional quantum walks using delocalized initial states. New Journal of Physics 18, 093025 (2016).
- Designing High-Fidelity Single-Shot Three-Qubit Gates: A Machine-Learning Approach. Physical Review Applied 6, 054005 (2016).
- Enhanced nonlinear susceptibility via double-double electromagnetically induced transparency. Physical Review A 94, 053832 (2016).