Summary
Overview
Work History
Education
Skills
Publications
Accomplishments
Timeline
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Ran-Yu Chang

Ran-Yu Chang

Taiwan

Summary

I possess a solid theoretical foundation in quantum computing, with expertise in quantum simulation, quantum many-body systems, optimization problems, and quantum random walks. I have a deep understanding of the Variational Quantum Eigensolver (VQE) technique, which I have applied in the simulation of corrosive materials, achieving tangible research results. Additionally, I have accumulated extensive experience and technical skills in quantum dot fabrication and simulation, as well as in the application of quantum random walk algorithms.

Overview

4
4
years of professional experience

Work History

VQE Research Student

City University of Hong Kong
06.2024 - Current
  • Learning VQE and first-principles calculations
  • Researching and simulating corrosive materials using VQE

CEO

EntangleTech
11.2023 - Current
  • Company Overview: Taiwan's first quantum education platform, currently subsidized by the government
  • Quantum Educator
  • Taiwan's first quantum education platform, currently subsidized by the government

Student Research Assistant

Quantum Center, Chung Yuan Christian University
09.2023 - Current
  • Proactively proposed and conducted entanglement dynamics analysis in quantum walks, showcasing a self-driven approach to novel research avenues.
  • Demonstrated Parrondo's paradox using quantum random walks, highlighting innovative thinking and deep engagement with quantum theory.
  • Collaborated with faculty and peers to design experiments, interpret data, and present findings, further honing analytical and problem-solving skills.

Special Student

Tsinghua University Quantum Dot Laboratory
08.2023 - Current
  • Responsible for making quantum dot wafers
  • Responsible for quantum dot calculation simulation

Qiskit Advocate

IBM
08.2021 - Current
  • Maintained positive relationships with community to build and nurture dynamic partnerships.
  • Delivered friendly service and offered expert support in every interaction.

Blueqat Quantum Machine Learning Intern

I Built Foundational QNN and QLSTM Architectures.
06.2024 - 08.2024
  • Optimized machine learning models using hyperparameter tuning, reducing training time and improving accuracy.
  • Enhanced machine learning model accuracy by implementing advanced algorithms and feature engineering techniques.

Education

Undergraduate - Quantum Information and Physics

National Yang-Ming Chiao Tung University

Skills

Research design, High-Performance Computing

Publications

  • Promotion of quantum walk and verifying the Parrondo paradox on IBMQ to emerge quantum advantage, 08/01/21
  • Quantum computer application and world-class competition practice, 11/01/21
  • Faster convergence to the Parrondo paradox problem via quantum random walks algorithm, 02/01/23
  • Using Quantum random walks to predict the chemical reaction rate constant, 02/01/23
  • Taiwan Student Quantum Computer Society, 09/01/23
  • The Evolution of Entangled Quantum Walk Impacting on Physical Systems By Von Neumann Architecture, 02/01/23, Under preparation
  • Investigating Quantum Computing for Corrosion Inhibition, 02/01/24, Under preparation

Accomplishments

  • QChack, Rank 3, Phase effects of quantum random walks
  • iQuHACK 2024, Rank 3,
  • Qhack, Top 20 Project
  • IBM Challenge 2021, No.1
  • Mentor and Coach, Qiskit Hackathon Taiwan 2024

Timeline

Blueqat Quantum Machine Learning Intern

I Built Foundational QNN and QLSTM Architectures.
06.2024 - 08.2024

VQE Research Student

City University of Hong Kong
06.2024 - Current

CEO

EntangleTech
11.2023 - Current

Student Research Assistant

Quantum Center, Chung Yuan Christian University
09.2023 - Current

Special Student

Tsinghua University Quantum Dot Laboratory
08.2023 - Current

Qiskit Advocate

IBM
08.2021 - Current

Undergraduate - Quantum Information and Physics

National Yang-Ming Chiao Tung University
Ran-Yu Chang