Before running a single OFFICIAL result, we registered a verdict for every cell of this study — which quantum error-mitigation techniques would recover truth, which would fail honestly, and which would fail dangerously — and published the file's SHA-256 hash on LinkedIn, X, and external correspondence. Then a locked pipeline ran all 35 registered cells against exact ground truth, graded them blind, and compared. Our preregistered heuristic expectations, written down before the OFFICIAL run, scored 2 out of 35. The misses are the findings.
The predictions hash was published before the OFFICIAL results existed. The byte-identical prediction file remains in the package. The v2.1 distribution updates explanatory metadata and integrity packaging only; the registered predictions and scientific result files remain the July 17 record.
Our registered heuristics predicted the opposite pattern. In this matrix, nominal noise-family labels alone did not explain the outcomes well. The more specific mechanism exposed by the recorded runs is accumulated circuit-level disturbance at the extrapolation's largest scale factor: under the disclosed per-gate convention, folded circuits can accumulate multiple expected error events and push polynomial extrapolation into saturated-data territory. This is a finding about the registered matrix, not a claim that noise family is generally irrelevant.
Every registered cell: predicted verdict, observed verdict, match. Grading definitions were sealed with the predictions: PASS = |bias| ≤ 1.6 mHa and CI covers truth · FAILS HONESTLY = misses but CI admits it · FAILS DANGEROUSLY = misses and CI excludes truth · NO_RESULT = no gradable estimate, cause recorded. Three cells returned NO_RESULT (exponential-fit non-convergence on amplitude-damping H₄ 1.5/2.5 Å and composite H₄ 2.5 Å) — registered outcomes, not omissions.
The surviving structural result is narrower and more important than the original heuristic claims: cells exist where mitigated energy reaches chemical accuracy while the noisy state's ground-state fidelity remains degraded. Correcting an expectation value does not, by itself, certify or restore the underlying state. Nearly every empirical heuristic failed; this structural claim survived. It establishes why state-resolved evidence can matter when endpoint observables are insufficient. It does not validate IQ Intel material datasets.
| family | registered band | measured | grade |
|---|---|---|---|
| ZNE · coherent | 0.00–0.50 | ~0.95 | OUT_OF_BAND |
| ZNE · amplitude damping | 0.70–0.95 | 0.90 | IN_BAND |
| ZNE · depolarizing | 0.85–0.98 | 0.37 | OUT_OF_BAND |
| none (control) | 0.00–0.30 | 0.00 | IN_BAND |
We predicted the error bars would be honest about noise they understood and blind to noise they did not. The registered expectation was inverted in this matrix: coverage failed where we expected it to be strongest. Sweep statements: depolarizing and amplitude damping HELD; coherent DID_NOT_HOLD.
The predictions were never revised after any run. The package preserves the prediction file, sequencing disclosure, run metadata, and outcome files. External publication timestamps provide the independent preregistration record.
The complete annotated referee package: all 35 graded cells with raw data, the predictions file byte-identical to the published hash, fit diagnostics for every extrapolation, coverage data, cost ledger, NOISE_LOUDNESS.md, SEQUENCING_DISCLOSURE.md, CLAIM_SCOPE.md, Dockerfile, and a quickstart that replays one graded cell end to end. Ground-truth values remain chained to the v1.0 validation package used by the OFFICIAL July 17 run (hash above). The v2.1 release changes explanatory metadata and integrity packaging only; the scientific result record is preserved.
SaC is compatible with conventional gate-model quantum workflows. The circuits used in this study are not proprietary IQ Intel-only representations. The architecture processes standard quantum-circuit constructions and established computational elements used in conventional simulation workflows, including QASM-form circuits, parameterized gate sequences, Pauli-operator Hamiltonians, VQE-style optimization paths, and related state evolution or measurement procedures.
The significance is compatibility, not universal simulator equivalence. These studies demonstrate that standard quantum circuits can be processed and independently checked within the SaC architecture while retaining direct access to the resulting state information. They do not establish support for every circuit family, backend, noise model, or workload implemented by conventional quantum simulators.
This provides the bridge to IQ Intel's materials work: standard quantum circuits can enter the same computational architecture that is subsequently used to generate and retain state-resolved material-process data. The material datasets remain separate products with separate physical-validation requirements.
This study demonstrates limitations of endpoint-only inference and the value of falsification-first validation. It shows that the preregistered heuristics used here were poor predictors of the observed mitigation behavior, and Layer 3 shows that an improved endpoint observable does not by itself certify the underlying quantum state.
It does not validate IQ Intel material datasets, physical-process trajectory generation, or commercial service outputs. NMC811-IQ, MagNet-IQ, and client-specific datasets must be evaluated separately against their own predeclared physical targets, acceptance criteria, and validation evidence.
This page demonstrates the validation discipline: sealed predictions, truth-blind grading, and misses published as prominently as hits. It also demonstrates the information gap: corrected endpoint observables do not by themselves certify the underlying state. IQ Intel material datasets address a different problem and are validated separately against dataset-specific physical targets and acceptance criteria. No self-registration; submit your details for manual review and we respond when there is a fit.