Shiwen An

Biography

I am a Ph.D. candidate at Institute of Science Tokyo (formerly Tokyo Institute of Technology), where I am supervised by Prof. Konstantinos Slavakis and advised by Prof. Jun Sakuma. My research focuses on the intersection of quantum computing, machine learning, and AI security.

I obtained my B.S. in Physics from the University of California, San Diego and M.S. in Experimental Particle Physics from KEK

Quantum Software Development

LogosQ is a quantum computing library written in Rust. The library focuses on efficient quantum circuit simulation and optimization. For more information, tutorials, and documentation, please visit https://logosqbook.vercel.app/. If you are interested in optimization and computation in Rust, feel free to check it out!

Quantum Machine Learning

I have recently published research on novel feature extraction algorithms for graphs that can be effectively applied with Variational Quantum Circuits (VQCs) in resource-limited settings. This work bridges classical graph theory with quantum machine learning techniques.

AI Security

My ongoing work includes security analysis and attacks on various fine-tuned and pretrained AI models, including Llama2-7B, Llama3.1-8B-Instruct, Qwen, DeepSeek, and GPT family models. This research aims to understand and improve the robustness of large language models against adversarial attacks.