Python · ARTIQ · experimental automation · hardware/software integration
I build software for trapped-ion experiments, connecting experiment requests and orchestration to deterministic control, monitoring, calibration, analysis, and traceable results. My work sits at the boundary between experimental physics and control systems, and I’m interested in applying that experience to scalable quantum-computer platforms.
- Trapped-ion Control Stack — A Python reference platform for experiment control, covering typed requests, preflight checks, compilation and execution adapters, scans, calibration workflows, APIs and monitoring, analysis, and traceable run records. It distinguishes software simulation and electrical emulation from physical-ion verification.
- Control Systems Case Study — A concise, sanitized walkthrough of control architecture, adapter boundaries, failure handling, and verification evidence in an ARTIQ/Kasli-SoC context.
- Python experiment-control software, ARTIQ workflows, and deterministic sequencing
- APIs and services for experiment submission, monitoring, and results
- Calibration and automation, testing, CI, documentation, and reproducibility
- Integration across experimental workflows, control electronics, and software
I bring hands-on trapped-ion control experience and am interested in contributing to reliable control software for scalable quantum systems.