Research Interests

I work on questions at the intersection of quantum information theory, quantum computation, and learning systems.

Focus Areas

1) Resource-Theoretic Understanding of Quantum Advantage

I study how operational resources such as coherence, entanglement, and nonstabilizerness determine the cost and power of information-processing tasks.

2) Efficient Characterization and Estimation

I am interested in practical protocols for fidelity estimation and related certification tasks, especially when full tomography is infeasible.

3) Quantum Theory Meets Intelligent Systems

A current direction is using language models and AI workflows to accelerate scientific reasoning in quantum information.

Current Questions

• How can we quantify useful nonclassical resources in high-dimensional systems with experimentally meaningful costs?
• Which discrimination or estimation tasks offer the cleanest gap between classically simulable and genuinely quantum measurements?
• What are robust ways to integrate LLM-based tools into formal quantum research pipelines?

Methods and Style

• Analytical techniques from information theory.
• Resource-theoretic formulations with operational interpretations.
• Cross-disciplinary prototyping with modern AI tooling.

If our interests overlap, feel free to reach out by email.