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

I obtained my B.S. in physics from the University of California, San Diego and M.S. in Experiment Particle Physics from The Graduate University for Advanced Studies, SOKENDAI.

Recent Update

Keywords Topics: $C$ = {Quantum Computing, Quantum Machine Learning, AI security, Differential Geometry and Lie Groups} . If we define two events \(x=\text{research}\), \(y=\text{publication}\), \(c =\text{rand}(C)\), \(P(y|x+c) \approx P(X>\mu+3\sigma) = \int_{\mu+3\sigma}^{\inf} \frac{1}{\sqrt{2 \pi \sigma^2} } e^{-\frac{(x-\mu)^2}{2\sigma^2}} dx\) The path to a sound research is complicated, especially the one that convinces yourself, you have fully committed your soul and life into a work.

AI Security

The on-going work includes the attack on various fine-tuned and pretrained AI models, like Llama2-7B, Llama3.1-8B-Instruct, Qwen, DeepSeek and GPT family Model. Coming soon!

Quantum Machine Learning

Recently, I published research in newly developed feature extraction algorithm on graphs that could be applied with VQCs in limited

Tensor-Based Binary Graph Encoding for Variational Quantum Classifiers

Tensor-Based Binary Graph Encoding for Variational Quantum Classifiers

Search for Nearly Mass-Degenerate Higgsinos Using Low-Momentum Mildly Displaced Tracks in pp Collisions at s= 13 TeV with the ATLAS Detector

APS Physics Review Letters Vol.132 2401.14046

Overnight Stock Movement Prediction with Contextualized Embedding Incorporating News and Stock

Overnight Stock Movement Prediction with Contextualized Embedding Incorporating News and Stock