Sirui Lu - Biography


Research Experiences

Research assistant in Prof. Luming Duan's group (Tsinghua & Michigan)

  • Bachelor Thesis: “Applications and Implementations of Quantum Random Unitaries”.

Collaboration with Dr. Xun Gao (Postdoc, Max Planck/Harvard Research Center for Quantum Optics)

Collaboration with Dr. Sheng-Tao Wang (Postdoc, Lukin Group, Harvard University)

  • Implemented a convolutional neural network based method for measuring the topological number for chiral topological insulators (with a solid-state quantum simulator) (Phys. Rev. Lett. 122, 210503) (arXiv).

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 best-known 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).


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 Many-Body Theory for Condensed Matter Systems (5.0/5.0) Prof. Xiao-Gang Wen I proposed a method of studying the effect of interaction on time reversal symmetry-protected topological phases from an information-theoretic point of view.
2018 Spring MIT 8.371 Quantum Information Science II (5.0/5.0) Prof. Aram Harrow & Isaac Chuang “Towards fault-tolerance with non-stabilizer 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 0-pi 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

  • Chi-Sun Yeh Prize (Highest honor for physics undergraduates at Tsinghua University).

  • Tsinghua Xuetang Talents Program.

  • Qualcomm Scholarship.

Technical strengths

  • Computer Languages: Python, C/C++, Julia, Matlab, Mathematica.

  • Tools: LATEX, Linux, Tensorflow.

  • Quantum Tools: Qiskit, Project-Q, Yao.jl, CirQ, QuTiP, Tensor Networks (e.g., ITensor)…