cv

Basics

Name Chi Zhang
Email czh4@iu.edu
Phone (812) 671-7220
Summary Ph.D. candidate in Computer Engineering at Indiana University Bloomington, researching machine learning, agentic AI, and quantum computing.

Education

  • 2024 - 2028.05

    Bloomington, USA

    Ph.D. Candidate
    Indiana University
    Computer Engineering
  • 2023.01 - 2024

    Bloomington, USA

    Graduate Student
    Indiana University
    Mathematics
  • 2018.09 - 2022.06

    Beijing, China

    Master of Science
    Institute of Theoretical Physics, Chinese Academy of Sciences
    Theoretical Physics
  • 2014.09 - 2018.07

    Nanjing, China

    Bachelor of Science
    Nanjing University
    Physics

Work

  • 2026.05 - 2026.08
    Research Intern
    Lawrence Berkeley National Laboratory (LBNL)
    Worked with Dr. Yilun Xu on quantum state discrimination for superconducting hardware, combining repetition encoding, neural decoding of joint I-Q readout signals, and calibration matched to mid-circuit measurement conditions.
    • Quantum State Discrimination
    • Superconducting Quantum Hardware
    • Mid-Circuit Measurements
    • Neural Decoding
  • 2024.09 - present
    Research Assistant
    Department of Intelligent Systems Engineering, Indiana University
    Develop graph neural networks and diffusion models for parameter initialization in variational quantum algorithms, and build datasets for quantum optimization. Since September 2026, develop LLM-based multi-agent systems for quantum error mitigation, with planning, review, memory retrieval, and reproducible evaluation.
    • Generative AI
    • Variational Quantum Algorithms (VQAs)
    • Graph Neural Networks (GNNs)
    • Denoising Diffusion Probabilistic Models (DDPMs)
    • Multi-Agent Systems
    • Quantum Error Mitigation
  • 2023.08 - 2024.09
    Data Scientist
    NLP-Lab, Indiana University
    Developed quantum natural language processing (QNLP) pipelines for sentiment classification, semantic similarity, and ambiguity resolution using classical word embeddings and quantum encodings. Trained lab members through lectures on category theory, quantum computing, and combinatory categorial grammar (CCG).
    • Quantum Computing
    • Quantum Natural Language Processing
    • Category Theory
    • Combinatory Categorial Grammar
  • 2023.05 - 2025.05
    Associate Instructor
    Department of Mathematics, Indiana University
    Graded homework assignments and led recitation sections for undergraduate courses in mathematics, serving 130 students in total.

Publications

Services

  • 2026
    Posters Program Committee Member
    IEEE International Conference on Quantum Computing and Engineering (QCE) 2026
    Posters Program
  • 2026
    Reviewer
    Computer Physics Communications
    Journal reviewer
  • 2025.09
    Student Volunteer
    IEEE International Conference on Quantum Computing and Engineering (QCE) 2025
    Student Volunteer
  • 2025.07
    Posters Program Committee Member
    IEEE International Conference on Quantum Computing and Engineering (QCE) 2025
    Posters Program
  • 2025.05
    Reviewer
    International Conference on Computer-Aided Design (ICCAD) 2025
    Track 1.3 AI Algorithms and Applications

Awards

Skills

Programming
Python
Qiskit
Lambeq
PennyLane
Pytorch
TensorFlow
Scikit-learn
Numpy
Pandas
SpaCy
NLTK
NetworkX
C
C++
C#
FORTRAN
Mathematica
UNIX
Git
Docker
MySQL
LaTeX
HTML
Mathematics
Differential Geometry
Algebraic Topology
Algebraic Geometry
Category Theory
Graph Theory
Formal Language Theory
Stochastic ODEs
Dynamical Systems
Physics
Quantum Mechanics
Quantum Computing
String Theory
Particle Physics
Condensed Matter Physics
Quantum Field Theory
Linguistics
General Linguistics
Historical Linguistics
Natural Language Processing
Combinatory Categorial Grammar

Languages

Chinese
Native
English
Fluent
Spanish
Intermediate
Japanese
Beginner