Hi! I’m Yizhuo, a fourth-year Ph.D. student in Computer Science at Yale University, advised by Prof. Jakub Szefer (Northwestern University) and Prof. Yongshan Ding.
My research aims to enable reliable, scalable, and efficient quantum computation. I study how physical device properties, qubit interactions, and hardware constraints shape quantum system design. I examine how physical errors affect computational behavior and performance at both the circuit and logical levels, with particular interest in quantum error correction. I also investigate reliability, security, and privacy challenges, including unwanted interference and information leakage, and explore methods for protecting quantum computations and data.
Thanks for visiting my website! Feel free to reach out if you’d like to exchange ideas, ask a question, or just say hello.
I am currently seeking internship and research visit opportunities for Summer 2027.
PhD in Computer Science, 2028 (Expected)
Yale University
September 2023 – Present
B.Sc. in Physics, 2023
University of Science and Technology of China (USTC)
September 2019 – July 2023
Atomic and Molecular Physics track
Minor in Computer Science and Technology
I study what syndrome histories reveal about logical operations in qLDPC codes. I developed likelihood-based inference using exact fault marginalization and scalable approximations to identify logical instructions and circuits while reducing computation and memory costs. I also analyzed identification limits and evaluated refinements for cases with low identification accuracy.
Manuscript · 2026
EPAR predicts how physical layout affects the robustness of superconducting quantum processors by connecting electromagnetic modeling, effective Hamiltonians, and control-pulse response. I co-developed the framework and constructed superconducting circuit models and chip layouts from target Hamiltonians, including layout implementation in Qiskit Metal. The framework quantifies deviations between intended and effective qubit connectivity and the sensitivity of parasitic couplings to local parameter variations.
DAC · 2026
OQRAM protects delegated coherent quantum queries for clients with limited quantum resources. I co-designed protocols using encrypted and shuffled database layouts with quantum-secure address masking, and co-developed their security and resource analyses. These analyses establish online quantum communication linear in the combined address and ciphertext register widths and quantify classical database refresh costs.
arXiv preprint · 2026 · Equal contribution
I investigate how unwanted interactions between superconducting qubits affect workload isolation and leak information. In QubitHammer, I designed and validated pulse-level attacks on IBM and Rigetti processors and implemented Rigetti experiment workflows in Python with Amazon Braket for calibration retrieval, hardware execution, and measurement analysis. In separate readout-crosstalk work, I characterized correlations between measurement outcomes to quantify crosstalk and information leakage.
QubitHammer · HOST 2026
Readout crosstalk · QSec@CCS 2025 Best Paper Award
Instructors: Sean Barrett, Mehdi Ghiassi-Nejad, Caitlin Hansen, and Alison Sweeney
