I’m Ruilin Zhou, a third-year CSE PhD student at UCSC. I’m broadly interested in the areas of quantum networks, quantum computing, and quantum cryptography. My current research is on protocol and model design in future quantum networks, compiler and architecture of distributed quantum computing, and modeling and simulation for quantum networks. My advisor is Chen Qian.

I received my Bachelor’s degree from Beijing University of Posts and Telecommunications in Applied Physics and my Master’s degree from Northwestern University in Electrical Engineering.

Experience

2018 - Research intern at ISI, USC: Conducting research on using quantum annealing to solve isomorphic graph problems (Mentor: Itay Hen )
2018 - Research Intern at Renmin University of China and Tsinghua University: Experiment research on Ion trap quantum computing (Mentor: Xiang Zhang)
2020 - Research intern at Northwestern University: Research on developing time-aware Transformers for recommendation system (Mentor: Kunpeng Zhang)
2019 - Algorithm scientist intern at Wisutech, Beijing.

Publication

• Izquierdo, Zoe Gonzalez, Ruilin Zhou, Klas Markström, and Itay Hen. “Discriminating nonisomorphic graphs with an experimental quantum annealer.” Physical Review A 102, no. 3 (2020): 032622.
• Wang, Qingmin, Ruilin Zhou, Xuying Wang, Yunsheng Guo, Yanan Hao, Ming Lei, and Ke Bi. “Wideband terahertz absorber based on Mie resonance metasurface.” AIP Advances 7, no. 11 (2017): 115310.
• Yu, Shuai, Jia Wang, Tian Zhang, Ruilin Zhou, Jian Dai, Yue Zhou, and Kun Xu. “Performance optimization for plasmonic refractive index sensor based on machine learning.” In 17th International Conference on Optical Communications and Networks (ICOCN2018), vol. 11048, pp. 563-567. SPIE, 2019.
• Zhou, Ruilin, Yuhang Gan, and Yi Liu. “Towards Flow Scheduling in A Quantum Data Center.” Proceedings of the 1st Workshop on Quantum Networks and Distributed Quantum Computing. 2023.
• Ruilin, Zhou, et al.” A Simulator of Atom-Atom Entanglement with atomic Ensembles and Quantum Optics”, QCE 2023

Education

• B.S. in Applied Physics, Beijing University of Posts and Telecommunications, 2015-2019
• M.S in Electrical Engineering, Northwestern University, 2019-2021
• Ph.D. in Computer Science Engineering, 2021-2026

Teaching

TA: CSE 120 Computer Architecture, Fall 2022 TA: CSE 102 Introduction to Analysis of Algorithms, Winter 2023 TA: CSE 102 Computational Models, Fall 2023