v0.3 · quantum · role post-~2036
**REAL quantum error mitigation** — zero-noise extrapolation (ZNE, global unitary folding) + inverse-confusion readout-error mitigation applied to the real KQUBIT H₂ VQE circuit (PennyLane default.mixed; simulator now, real hardware pluggable). ZNE removes ~89% of the noise-induced energy error (44.4 → 5.0 mHa); readout mitigation cuts the measurement TV distance to ~0. Mitigation is the genuine NISQ tool **today** — it recovers signal from noise, not a speedup. Honest: quantum's meaningful role in fusion is **post-~2036**.
KODEX KMIT is a fast, calibrated surrogate for fault-tolerant quantum hardware (not available this decade) — reproducing its result at inference speed, so it runs inside a real-time control loop or a design search where the full computation is far too slow to call.
One line, one contract — a prediction, its uncertainty, and whether the input is in-domain.
from kronos_ml import KMIT
model = KMIT() # loads the trained surrogate
y, sigma, in_domain = model.predict(x) # y = prediction
if not in_domain: # out of its trusted region
fall_back_to_full_physics() # KMIT abstains, never extrapolatesEvery KODEX code wraps the shared spine — KHALO for calibrated uncertainty and KGATE for the out-of-domain gate — so it reports how confident it is and abstains rather than extrapolate. Benchmarks are computed on held-out data with a fixed seed; pre-registered misses are kept, not hidden.
Part of the open kronos-ml package (Apache-2.0). Open-access deposits with citable DOIs are listed below.
Open-access deposits, each with a citable DOI: