Essential Information
Name: Juan Yao
Position: Assistant researcher
Email：yaoj3@sustech.edu.cn

Research Field
Quantum Simulation on Quantum Many- and Few-Body Problems Computational
Methods for Quantum Systems
Machine Learning Application to Quantum Systems

Educational Background
2008–2012, Bachelor, Fudan University, Shanghai, China.
2012–2016, Ph.D., The University of Hong Kong, Hong Kong.
2017–2019, Postdoc, Institute for Advanced Study of Tsinghua University, Beijing, China.

Working Experience
2019-2020, Research Assistant, Center for Quantum Computing, Peng Cheng Laboratory, Shenzhen, China.
2020-now, Research Assistant, Shenzhen Institute for Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen.

Papers and Patents
Juan Yao and Shizhong Zhang, Phys. Rev. A 90, 023608, (2014). Bose-Hubbard models with staggered flux: Quantum phases, collective excitation, and tricriticality.
Juan Yao and Shizhong Zhang, Phys. Rev. A 97, 043612 (2018). Normal State Properties of a Resonantly Interacting p-wave Fermi Gas.
Juan Yao, Ran Qi and Pengfei Zhang, Phys. Rev. A 97, 043626 (2018). Strongly Interacting high-partial wave Bose Gas.
Juan Yao, Boyang Liu, Mingyuan Sun, and Hui Zhai, Phys. Rev. A 98, 041601(R) (2018). Controlled transport between Fermi superfluids through a quantum point contact.
Juan Yao, Pengfei Zhang, Ran Qi and Hui Zhai, Phys. Rev. A 99, 012701 (2019). Three-Body Problem of Bosons nearby a d-wave Resonance.
Juan Yao, Hui Zhai and Ren Zhang, Phys. Rev. A 99, 010701(R) (2019). Efimov Enhanced Kondo Effect in Alkaline and Alkaline-earth Atomic Gas Mixture.
Juan Yao, Yadong Wu, Jahyun Koo, Binghai Yan and Hui Zhai, Phys. Rev. Research 2, 013287 (2020). Active learning algorithm for computational physics.