Sirui Lu  Biography
Education
Research Experiences
Research assistant in Prof. Luming Duan's group (Tsinghua & Michigan)
Collaboration with Dr. Xun Gao (Postdoc, Max Planck/Harvard Research Center for Quantum Optics)
Collaboration with Dr. ShengTao Wang (Postdoc, Lukin Group, Harvard University)
Research assistant in Prof. Bei Zeng's group. (University of Guelph & IQC),
Wrote a program to search quantum codes that allow to transmit both quantum and classical information. The obtained codes can encode more information compared with hybrid codes obtained from the bestknown stabilizer quantum codes. Enhanced linear programming bounds with shadow enumerators. (ISIT 2017).
Conceived a convex hull approximation method and a machine learning algorithm to separability problem. Our method outperforms the existing methods in generic cases in terms of both speed and accuracy. (Phys. Rev. A, 98:012315).
Main developer for the first NMR cloud quantum computing platform: NMRCloudQ. (Science Bulletin, 2017).
Performed numerical simulation for simulating quantum spin network – the fundamental building block of quantum spacetime at Planck scale (Communications Physics, to appear) (arXiv).
Proposed and implemented a machine learning method for quantum state tomography based on local measurement. Our approach may be scalable to a large number of qubits (arXiv).
Papers
See papers or {Google Scholar} {arXiv} {scirate} {ResearchGate}.
Talks & posters
See presentations.
Relevant Graduate Courses
Semester  School  Course name and grade  Instructor  Course Project 
2017 Fall  Harvard University  Phys285b Modern Atomic and Optical Physics II (5.0/5.0)  Prof. Mikhail Lukin  A presentation on “Quantum error correction with cat states”. (with Yicheng Bao and Zeyu Hao) 
2017 Fall  MIT  8.513 ManyBody Theory for Condensed Matter Systems (5.0/5.0)  Prof. XiaoGang Wen  I proposed a method of studying the effect of interaction on time reversal symmetryprotected topological phases from an informationtheoretic point of view. 
2018 Spring  MIT  8.371 Quantum Information Science II (5.0/5.0)  Prof. Aram Harrow & Isaac Chuang  “Towards faulttolerance with nonstabilizer codes” 
2018 Spring  MIT  6.645 Physics and engineering of superconducting qubits for quantum information processing (5.0/5.0)  Prof. William Oliver  A presentation on the 0pi qubit 
2018 Spring  MIT  6.883 Science of Deep Learning (5.0/5.0)  Prof. Aleksander Madry & Prof. Constantinos Daskalakis  “Adversarial Generation and Perturbation Elimination with GANs”. (with Mu Cong Ding and Zhiwei Ding) 
2016 Fall  Tsinghua University  Cold Atom Physics (4.0/4.0)  Prof. Hui Zhai  
   

Awards & Honors
Technical strengths
Computer Languages: Python, C/C++, Julia, Matlab, Mathematica.
Tools: LATEX, Linux, Tensorflow.
Quantum Tools: Qiskit, ProjectQ, Yao.jl, CirQ, QuTiP, Tensor Networks (e.g., ITensor)…
