Blog
- PPCA: The Minimal Generative Model · 8 min read
Deriving probabilistic PCA as the maximum-likelihood solution of a linear-Gaussian latent-variable model, and how it reduces to classical PCA.
- Representing Atomic Environments for ML Potentials · 7 min read
A survey of how local atomic environments are represented in machine-learning interatomic potentials, from Behler-Parrinello symmetry functions to CACE.
- The Self-Consistent Hartree-Fock Method · 4 min read
Self-consistent unrestricted Hartree-Fock for Majorana zero modes in a quantum-dot–superconducting-nanowire hybrid, the method behind my master's thesis.
- Measuring the non-Markovianity of a Quantum System · 11 min read
Characterizing non-Markovianity in open quantum systems via canonical decoherence rates and the trace-distance measure of information flow.