Reinforcement Learning for Quantum Gate Control
A model-free reinforcement learning workflow for pulse-level two-qubit gate control, evaluated under modeled detuning noise.
Open project →I study quantum computing
and build tools for research.
Research projects in quantum computing and particle physics, alongside software I develop.
Distributed Variational Quantum Linear Solver
A distributed variational solver that partitions a linear system across local quantum processors and coordinates them through classical optimization.
Open project →Federated Variational Quantum Linear Solver
A federated protocol that keeps submatrices on local NISQ clients while a central classical server coordinates parameter updates.
Open project →Machine-Learned Jet Time and Trackless Jet Vertexing
Deep learning for collider timing and time-based reconstruction of displaced vertices, supported by a TensorFlow and C++ workflow.
Open project →Machine Learning for Top Quark Effective Theory
Neural networks within the SMEFT framework, using learned likelihood scores and Fisher information to constrain new-physics couplings.
Open project →Patchouli: A Knowledge Capture Plugin
A Codex plugin that turns concepts, questions, and clarifications from learning conversations into reviewed, linked Markdown cards in a local Obsidian vault.
Open project →