Two-Flag Fault-Tolerant Quantum Error Correction
Extending concatenated Steane codes beyond single-flag limitations for distances 3-9. Investigating resource optimization for scalable quantum computing implementations using Stim framework.
CS and Mathematics @ Duke
Quantum Computing Researcher • Full-Stack Developer • AI/ML Enthusiast
I'm an undergraduate at Duke, but my journey with code started long before college—back in second grade, when I was dragging colorful blocks around in Scratch, and later in fifth grade, when I shipped my first iOS app. What began as tinkering quickly turned into a love for building and problem-solving that's stayed with me ever since.
Over the years, that spark has led me down all sorts of paths—late nights wrestling with competitive programming problems, the thrill of debugging my first quantum circuit, the joy of seeing people actually use something I built. Whether it's algorithms, machine learning, or full-stack development, I still feel the same excitement I did writing that very first line of code.
At heart, I'm driven by curiosity. Every project is a chance to dive deeper, to explore the unknown, and to chase the moment when a messy problem finally clicks into place. That's what keeps me building.
My research journey spans quantum computing, machine learning, and computer vision. Each project represents a unique challenge I've tackled, from developing novel error correction methods to creating AI systems that solve real-world problems.
Extending concatenated Steane codes beyond single-flag limitations for distances 3-9. Investigating resource optimization for scalable quantum computing implementations using Stim framework.
Developing diffusion-based image editing model trained on 10,000+ real human edits from Chinese and Japanese social media. Addressing privacy-preserving data collection and cultural diversity in aesthetic preferences.
Created deep learning model for automated skin burn wound detection achieving 92% accuracy. Constructed and labeled 1,000+ burn wound images in collaboration with local hospital.
Conducted quantum computing research on XXZ Heisenberg model for quantum algorithm development. Self-learned quantum mechanics and linear algebra within one week.
A curated selection of projects that showcase my approach to design and development.
Click on projects for detailed information.
Always continue, never break;
I'm always excited to discuss new ideas, whether it's about quantum computing, AI projects, or potential collaborations. Feel free to reach out — I'd love to hear from you!