Start here: quantum circuits, scientific software, and a public research notebook

This blog is where I want to make my work more legible: not only finished papers or polished projects, but also the intermediate explanations that make hard ideas easier to enter.

My center of gravity is quantum hardware, especially superconducting and hybrid semiconductor-superconductor circuits. A lot of the interesting work lives between equations, numerical tools, fabrication constraints, and intuition. For example, a driven qubit might be summarized by a time-dependent Hamiltonian such as

$$H(t) = -\frac{1}{2}\left(\epsilon(t)\sigma_z + \Delta\sigma_x\right),$$

but understanding what the symbols mean physically requires a slower conversation.

I also want to write about the tools around the research: Python simulations, scientific visualization, numerical methods, and the practical habits that make research more reproducible.

import numpy as np

time = np.linspace(0, 1, 500)
drive = np.sin(2 * np.pi * time)

The goal is simple: build a public notebook for people who are curious about quantum physics, computation, and the philosophical questions that appear when science changes what is possible.