For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
Stanza is an open-source Python framework for tuning up quantum devices. We built it while automating the tune-up of 128 double quantum dots, designing it to be easy to use while solving the real challenges we hit along the way. We open-sourced it so the community can use and build upon it too.
What is Stanza?
Stanza helps you characterize and calibrate quantum devices by providing:
YAML-based device configuration - Define your device topology once, reuse it everywhere
Decorator-based routines - Write tune-up sequences as simple Python functions
Automatic logging - Sessions and data are logged automatically in HDF5 or JSONL formats
Resource management - Access devices, loggers, and instruments through a unified context
Result chaining - Build complex workflows by passing results between routines
Type safety - Built on Pydantic for configuration validation and type checking
Architecture
Stanza separates concerns into three layers:
1. Configuration Layer (YAML)
Define your device topology, routine parameters, and instrument connections: