R&D cycles are expensive.
Unreliable computational models make them worse.
We fix that upstream.
Quantum results should not be trusted just because they converged. We test whether the energy deserves trust.
Before battery developers, drug discovery teams, and materials scientists commit resources to synthesis and testing, Quantum-Clarity audits whether the electronic model they are building on is stable, sector-clean, reference-comparable, and decision-grade — or exactly why it is not.
corrections (2026)
completed
operating point
per condition
ELSD is a diagnostic layer, not a black-box molecule solver. Its value is not that every VQE result is correct. Its value is that unstable, sector-wrong, reference-incomparable, or optimizer-pathological results are not allowed to masquerade as physical discoveries.
Six domains, one audit standard
The same ensemble VQE diagnostic framework is applied across chemically distinct systems. Each domain has its own named platform and its own stage in the audit pipeline. Maturity is reported honestly per domain — Audited, Corrected, or Pending audit — not as a uniform claim of validation.
Drug discovery — metalloenzyme active sites
Independent statevector audit of the deposited ELSD metalloenzyme registry found that 12 of 13 systems with deposited statevectors pass the platform's own locked-gate criteria. The Cu²⁺ SOD apo/bound 9.2× σ ratio is numerically reproduced from deposited histories. One control (Cu_SOD_minimal_CuI) failed sector verification and the corresponding d⁹→d¹⁰ mechanistic claim was withdrawn in the corrected version.
Nitrogen fixation — Fe₄N₂ reduced-model benchmark
A prior Fe₄N₂ redox-collapse / SRDS chemistry claim was withdrawn after sector enforcement, reference comparability, and active-space limitations were identified. The corrected record now serves as a sector-aware reduced-model VQE benchmark: corrected Sẑ penalties, sector-aware checkpointing, same-active-space exact references, and physical-root ROHF selection.
Energy storage — NMC811 battery cathodes
Ni-rich NMC811 cathodes degrade fastest near 50% state of charge. ELSD has been applied to map the electronic energy landscape under symmetry-breaking perturbation, with ensemble-VQE diagnostics reporting bifurcation and multi-basin structure across Ni, Co, Mn, Al, and Co+Al systems.
Rocket propulsion — energetic materials & engine alloys
ELSD has been applied to electronic models for solid-propellant additives and metal–fuel interfaces. The diagnostic is intended as an upstream triage layer before costly synthesis or engine testing, classifying whether an electronic model is reproducible under perturbation.
CO₂ reduction — iron porphyrin redox ladder
ELSD has been applied to the iron porphyrin redox ladder relevant to molecular CO₂ reduction electrocatalysis, from resting state through CO₂ binding. A Zenodo deposit documents the ensemble-VQE results across the four-phase campaign.
Green hydrogen — PEM electrolysis & storage materials
ELSD has been applied to PEM electrolysis cathode/anode materials (Pt HER, Ir OER) and to hydride-storage systems (MgH₂, TiH₂, NaAlH₄). The diagnostic is intended as an upstream quality check before catalyst or storage-material investment.
Four superseding Zenodo records document the platform's audit-grade self-correction posture. Each correction was produced by an independent verifier that shares no code with the proprietary engine; each names what survived audit, what was withdrawn, and which open items remain; each carries its verifier tool and its primary evidence as part of the deposit so the audit is reproducible by any external reader.
Four electronic landscape regimes, one diagnostic principle
ELSD produces a regime classification, not just an energy value. The same four-class framework applies whether the system is a battery cathode, a metalloenzyme active site, a catalytic cluster, or a strongly correlated material — making the audit verdict comparable across domains.
DFT, wavefunction methods, and VQE answer different questions. ELSD is not a replacement for any established electronic-structure package. It is an audit layer: it tests whether a reduced-active-space VQE result is sector-clean, reference-comparable, reproducible across optimizer seeds, and stable under SCF rebuild — the dimensions on which conventional single-point convergence checks are silent.
| Conventional VQE / single-point | ELSD audit layer | |
|---|---|---|
| Output | Single converged energy | Audit verdict + regime classification (Rigid Stability, Coherent Open-Shell, Multi-Basin, Pathology) |
| Runs per system | One | 15–35 independent optimizer trajectories |
| Reliability signal | Implicit — convergence is assumed, not tested | Explicit — σ, sector purity (N and 2Sẑ), dominant determinant weight, SCF-root stability |
| Multi-reference systems | No built-in self-diagnostic | Classifies whether multi-reference character is structured or pathological |
| Active-space adequacy | Not assessed | Flagged via controlled fragment-extension tests |
| Decision readiness | Implicit — assumed from convergence | Explicit — decision-grade classification or flagged constraint, with the audit reproducible by an external reader from the deposited evidence |
Perturbation finds nothing to split. Single basin retained across all ensemble seeds, with SCF reference root-stable across rebuilds. The model is reliable enough to support downstream decision-making.
Multi-reference character present but well-structured. The ensemble converges within a single electronic family under sector enforcement. Results are reproducible and the model is usable with appropriate care.
Two or more distinct electronic basins coexist under the same scaffold, or the underlying SCF reference jumps between roots across rebuilds. The system cannot reliably resolve its electronic state. Results depend on starting conditions and should not be trusted without landscape diagnosis.
The active space or scaffold is too truncated, the optimizer escapes the intended sector, or convergence reaches a state that is not what the deposit describes. Ensemble seeds may agree on a wrong-sector state. Not safe to optimize against.
How ELSD is built
Four layers connecting industry problems to validated quantum computation. The diagnostic engine has been through internal self-audit (May 2026): 28/28 regression tests passing, naming corrections applied in source, four cross-record failure modes encoded as tripwires.
4 audit-pending
4 published Zenodo corrections
Engine self-audit (May 2026)
20-qubit reduced-active-space
operating point
1200+ device runs
Patent pending
Partner with us on electronically difficult targets
We work with battery developers, pharmaceutical R&D teams, catalyst designers, and materials scientists who need reliable electronic landscape classification before committing resources to synthesis, screening, or clinical-stage decisions.
Submit a candidate composition, active-site model, or dopant strategy. We return a full ELSD audit report: sector purity (N and 2Sẑ), SCF-root stability, seed-ensemble σ, regime classification, and design recommendations. No source code shared.
A defined evaluation campaign against your internal targets, with results benchmarked against your existing computational workflows. Designed for R&D teams assessing ELSD fit before a broader deployment decision.
Full platform deployed in your environment, running across your candidate pipeline on your hardware. For organizations screening many compositions or targets on an ongoing basis.
For organizations interested in platform rights, IP integration, or long-term strategic access. Details available under mutual NDA.
Bring us your electronically difficult target.
Whether it is a cathode composition, a metalloenzyme active site, a catalytic cluster, or a strongly correlated material — if conventional workflows are not giving you a reliable picture, ELSD is designed for exactly that problem.
This homepage has been updated (May 2026) to reflect Quantum-Clarity's audit-grade diagnostic-platform identity following four published Zenodo corrections and an internal engine self-audit. Several per-domain and platform pages are being rewritten to align with the same standard and may temporarily contain claims at a confidence level superseded by the published corrections linked on this page. Where any discrepancy appears, the Zenodo correction records are the authoritative source. Updates to the remaining pages are in progress and will be applied as each domain's audit completes.
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