Phase 1 · data-backed core
**REAL VQE** (PennyLane) — variational quantum eigensolver for a molecular (H₂) Hamiltonian; runs on a simulator now and on real quantum hardware (`KODEX_QC_BACKEND=ibm` + token), same code path. Recovers the exact ground state to **0.0002 mHa**; a bundled depolarizing-noise sweep shows p=0.5% → 5.56 mHa (why there's no advantage yet). Honest: no quantum advantage this decade (~8–10 yr out); the tooling is real today.
KODEX KQUBIT 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 KQUBIT
model = KQUBIT() # loads the trained surrogate
y, sigma, in_domain = model.predict(x) # y = qml prediction
if not in_domain: # out of its trusted region
fall_back_to_full_physics() # KQUBIT 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: