Autonomous qubit calibration.
The whole suite, in your browser.
The quantum-control field sells autonomous tune-up: sweep a control, measure the qubit, fit the response, set the optimum — no human in the loop. Those are algorithms that run on measured data, and they're developed against simulators / digital twins. Here is the whole suite, as the same pure-i64 Rust a native sink runs, compiled to wasm — from single-qubit tune-up through two-qubit gates, crosstalk, robust pulse design, and a signed multi-step campaign. Most autonomously recover a hidden device parameter from a blind sweep — hit new device and watch them find any value.
The standard calibration algorithm, made byte-exact deterministic (the outcome hashes
identically on every machine) and attested by a signed, joule-metered
wai.quantum.calibration receipt whose evidence content-addresses the exact sweep.
Honest boundary: a simulated device (no cryostat) under a clean model — what is not
approximate is the reproducibility.
Rabi gate tune-up
Ramsey · T2 dephasing
Randomized benchmarking
Readout discrimination
Charge-stability tuning · silicon spin
Two-qubit gate · cross-resonance
DRAG · leakage suppression
Crosstalk characterization
Robust optimal control · noise-robust pulse design
Calibration campaign · signed lineage
The standard calibration algorithm — made deterministic and receipted
Each panel runs an autonomous fit that discovers a value it was never told: the π-pulse amplitude, the detuning and dephasing time, the average gate fidelity, the readout threshold. What the badges show is the part that is reproducible: the recovered value and the full sweep hash identically on every machine (no float in the run), and every run carries a signed, joule-metered receipt whose evidence content-addresses the exact sweep — a calibration you can put in an auditor's hands, reproduce from the git repo, and verify with only a public key. Reference engine + spec in the open-standards repo, Apache-2.0.