Ke Chen

First-year Graduate Student (Admitted in September 2024)

Major: Electronic Information (Focus on Quantum Computing - Quantum Error Correction)

School: School of Computer Science

University: University of Science and Technology of China

Email: kechen666@mail.ustc.edu.cn  &  ke_chen777@163.com

Address: University of Science and Technology of China, High-tech Campus

[Github] [Zhihu] [Resume] [Chinese Homepage]

About Me

Hello everyone! I am a first-year graduate student at the University of Science and Technology of China, having graduated from the Artificial Intelligence Experimental Class at Nanchang University. During my studies, I developed a strong interest in quantum computing, which I believe has immense potential. I hope to contribute to the development of universal fault-tolerant quantum computers through in-depth research in this field.

Previously, I studied the foundational knowledge of quantum computing, algorithms, compilers, simulators, and the related topics of noise and error correction. Currently, I am focusing on quantum error correction research.

As an undergraduate in Computer Science, I have built a solid knowledge foundation and gained extensive experience in classical computing tools. Initially, I focused on the application of classical computers in quantum computing. However, as my research deepened, I realized the importance of building quantum computer architectures. Therefore, I shifted my focus to quantum error correction, aiming to make breakthroughs in fault-tolerant quantum systems. Currently, I am focusing on the following research directions:

  1. Systematic Methods for Building Fault-Tolerant Quantum Computing Architectures: In classical computing systems, layered and decoupled architecture designs have significantly improved system performance and scalability. Inspired by this, I aim to explore how to apply layered decoupling strategies in quantum computers to optimize qubit organization and manipulation, thereby enhancing the stability, fault tolerance, and computational efficiency of quantum computing systems. Achieving this goal will require a long journey.
  2. Optimization Design of Quantum Error Correction Codes and Decoders: Quantum error correction technology is still in rapid development, especially facing numerous technical bottlenecks in quantum storage tasks. Therefore, I closely follow the theoretical and methodological innovations in the construction of quantum error correction codes, as well as the efficient design and implementation of decoders. My goal is to significantly improve the storage fidelity and error correction capabilities of quantum information by optimizing the performance of error correction codes and decoders, providing a solid foundation for the reliable operation of quantum computing.
  3. Accurate Modeling and Parameter Learning of Quantum Noise: The process of quantum error correction inevitably involves the precise characterization and effective handling of complex quantum noise environments. Therefore, I delve into the mathematical models of quantum noise, accurately estimate noise parameters, and explore noise suppression and error correction strategies based on these models. This is crucial for improving the practical performance of quantum computing systems and is one of the key areas I hope to research in the future.

In terms of research tools, I have a deep understanding and practical experience with classical greedy algorithms, heuristic algorithms, and artificial intelligence technologies. I also have preliminary exposure to tensor networks, a new emerging tool. Additionally, I have accumulated rich project experience and practical skills in programming practice and parallel computing, which will provide strong technical support and methodological reference for my research in quantum computing.

Apart from academic research, I am passionate about badminton. Although I have not participated in formal competitions, this sport helps me maintain a good physical and mental state during intense research periods.

I sincerely hope to connect with more outstanding researchers and like-minded peers here, to explore cutting-edge academic issues together, and share research ideas and experiences. Through in-depth communication and collaboration, I believe I can not only enhance my communication and expression skills but also gain inspiration from the collision of ideas, discovering new research perspectives and methodological paths.

Education

Undergraduate Education: 2020-2024, Artificial Intelligence Experimental Class, Ji Lian College & Information Engineering School, Nanchang University, Bachelor of Engineering.

Graduate Education:

  • 2024-Present, University of Science and Technology of China, School of Computer Science, Currently part of the Linke Lab Quantum Group, working with Professor Xie Wei on quantum computing tools, focusing on quantum error correction.

Research, Competitions, Projects, and Skills

Through the following experiences, you can get a general understanding of the knowledge and abilities I have acquired since my university days.

Quantum Computing:

  • (December 2023 - Present) Joined the Quantum Group at the School of Computer Science, University of Science and Technology of China, Linke Lab.
  • (July 2023 - August 2023) Participated in the IBM Qiskit Global Summer School 2023, completed all labs, and earned Quantum Excellence Badges.
  • (May 2023) Participated in the Origin Quantum Computing Competition, ranked in the top 10 in the preliminary round, and won second prize overall.
  • (June 2022 - September 2023) Participated in the USTC Quantum Training Program, learned quantum computing-related knowledge, and shared study materials.
  • (March 2022 - May 2022) Participated in the Huawei Hackathon Quantum Algorithm Competition, researched quantum machine learning.
  • (January 2021 - May 2022) Studied and reproduced quantum qubit mapping-related papers, gaining initial insights into quantum compilation.

Computer Science:

  • (February 2023 - November 2023) Served as the team leader of the Undergraduate Supercomputing Competition, successfully advanced to the IndySCC finals.
  • (January 2022 - March 2022) Participated in the ASC Student Supercomputing Challenge, responsible for molecular dynamics simulation optimization, won second prize.
  • (November 2021) Participated in the project of porting autonomous driving algorithms (e.g., YOLO) to deep learning chips (TPU).
  • (December 2020 - September 2022) Participated in various mathematical modeling competitions, highest achievement: Meritorious Winner (F Prize) in the MCM.

Embedded Systems (Microcontrollers, FPGA, Drones):

  • (November 2022 - December 2022) National FPGA Competition, responsible for porting RISC-V processors and embedded operating systems to new FPGA devices.
  • (September 2021 - November 2021) "Smart Flying" Drone Competition, responsible for algorithm design and hardware adaptation.
  • (April 2021 - June 2021) Developed a self-balancing bike using microcontrollers, responsible for software algorithm design.

Technical Stack:

  • Quantum Computing: Quantum algorithms, quantum compilation, quantum simulators, quantum machine learning.
  • Computer Science: Parallel computing, deep learning, performance optimization, mathematical modeling.
  • Embedded Systems: Microcontrollers, FPGA, drone flight control, embedded operating systems.

Through these experiences, I have accumulated rich interdisciplinary knowledge and practical experience, especially in quantum computing and computer science.

Honors and Awards

Competition Awards:

  • 2020 MathorCup University Mathematical Modeling Challenge - Big Data Competition, Third Prize
  • 2021 11th MathorCup University Mathematical Modeling Challenge, Third Prize
  • 2021 "Shenzhen Cup" Mathematical Modeling Challenge, Outstanding Paper Nomination
  • "Smart Flying" 2021 8th Unmanned Aerial Vehicle Intelligent Perception Technology Competition, Ruins Scenario Online Simulation, Third Prize
  • 2021 National Mathematical Modeling Competition, Provincial First Prize
  • 2022 ASC Student Supercomputing Challenge, Second Prize
  • 2022 12th MathorCup University Mathematical Modeling Challenge, Second Prize
  • 2022 MCM Outstanding Paper Finalist (F Prize)
  • 2022 National Mathematical Modeling Competition, Provincial Second Prize
  • 2022 National College Student Embedded Chip and System Design Competition - FPGA Innovation Design Competition, Third Prize
  • 2023 18th "Challenge Cup" Jiangxi Province College Student Extracurricular Academic Science and Technology Works Competition, Second Prize (Second Responsible Person)
  • 2023 2nd CCF "Sinan Cup" Quantum Computing Programming Challenge, University Group, Second Prize

Undergraduate Innovation and Entrepreneurship Training Program:

  • Completed the Provincial Undergraduate Innovation and Entrepreneurship Training Program at Nanchang University (Parallel Simulation Method for Gate-Level Circuit Expansion Based on Graph Theory).

Patents:

  • A Method and System for Storage and Processing of Large-Scale Marine Data (Under Application). (Author)

Scholarships:

  • (October 2021) Nanchang University Ji Lian College First Prize Scholarship
  • (October 2022) Nanchang University Ji Lian College Second Prize Scholarship

Other Experiences

  • Volunteer Service: Served as a volunteer for the 7th China International "Internet+" College Student Innovation and Entrepreneurship Competition, successfully completed the task of receiving judges.
  • Club Activities: Together with Jiang Runmin and Gao Songyang, I co-founded the Open Source Makers Association (OSMA), aiming to truly help everyone come together and learn technical content.

Interests and Hobbies

  • Sports: I enjoy running, which helps me decompress, as I can run without thinking about anything. I also enjoy playing badminton and table tennis, and I have also tried basketball and football.
  • Movies: I prefer logical and realistic movies. I hope to learn about other people's stories through movies to inspire myself, such as "Forrest Gump."
  • Reading: I currently have less time for reading, but I am very interested in books with profound insights. When I feel lost or bored, I read, such as "To Live," "Walden," and "How to Read a Book." I also hope to read "Das Kapital."
  • Entertainment: I am an avid player of League of Legends and have recently started playing Valorant. I use games for socializing and relaxation, allowing me to unwind when I'm tired. However, I now realize the importance of going out and interacting with people.