Code

Some Packages/code I wrote without vibe coding:

Numerical linear algebra:

1. Fast Large Scale Eigenvalue problem Solver with Gamblet Method (Matlab)

Machine Learning:

1. Kernel Flow Method for image data (Matlab)

2. Random matrix based Classification (Matlab) [People nowadays call this sketching :) ]

3. Operator Learning for Quantum Materials (Pytorch)

Material Sciences:

1. 1-D and 2-D Quantum Materials dynamics+spectral calculation (Python + Julia)

2. A DFT code that converges for 2D materials with thousands of atoms but NOT for ten thousands of atoms. (Siesta + C)

Quantum:

1. Block Encoding for Pairing Hamiltonian (Python-Qiskit)

Joint work with Codex:

1. Compilation for state preparation (Python)

2. Stacking dependent tight binding model computation (Python)