THE DEPLOYMENT LAYER FOR THE QUANTUM ERA

Your auditor will read this in two years.

NIST is deprecating RSA and ECC by 2030. DORA Article 28-30 requires audit-grade evidence on third-party ICT, quantum included. The board wants reproducible answers, not vendor brochures. Six solutions. Each ships a signed manifest a board can act on.

NIST 2030 RSA, ECC, DH-FFC deprecate. NIST IR 8547 sets 2030 deprecation, 2035 disallow. The board memo dated 2027 needs to reference the migration plan, not the intent.
DORA ART. 28-30 Third-party ICT register, audit-replay. Every EU-regulated financial entity files a register of third-party ICT (including quantum). The auditor opens the manifest, opens the vendor log, and replays.
HARVEST NOW Capture today, decrypt later. Adversaries already captured the storage exposure. The migration is the residual. Shelf-life X plus migration time Y must close before the cryptanalytic capability Z arrives.
Z REVISED 2026 Sub-500K-qubit factoring estimates published. Google Quantum AI (Mar 2026) and Coinbase (Apr 2026) public estimates pull the cryptanalytic frontier in. The Mosca inequality moves; the file the buyer was going to ship in 2027 needs revision now.
II  /  THE AUDIT CHAIN

Four steps. Every solution walks them. The auditor replays the file.

A board memo dated 2027 needs to point at a record the regulator can re-walk. Every solution in this catalog ships that record. From here forward the page references the audit chain by name; the mechanism is stated once, in this section.

01

Signed manifest

Every shipped artefact carries a `.qapp` manifest. Each input, primitive, transpiler pass, basis-gate set, mitigation primitive, seed, and bias-and-variance bound, recorded. Canonical-JSON SHA-256 in `hash.txt`. The regulator verifies the hash before trusting the file.

02

Vendor-API-verified job ID

When a tool reaches Gate 5, the hardware-run block carries vendor, backend, job_id, and a vendor-side log URL or API query. The regulator opens the URL and confirms the job ran with the recorded shots, calibration timestamp, and basis gates.

03

Tamper-evident audit ledger

Every gate transition is hash-chained into a per-tool ledger. A modification after signing breaks the chain. An EU FS-PQC examiner can re-walk the ledger byte-for-byte and confirm the manifest was not edited after the gate closed.

04

Third-party replay

Classical pre and post scripts ship with their own SHA-256s. Two runs of the tool with the same envelope (seed, optimization level, basis gates, transpiler-pass order, SDK version, calibration timestamp) produce byte-equal artefacts. The buyer's external reviewer re-runs the pipeline and confirms.

III  /  THE SIX SOLUTIONS

Each row is a separate engagement. The audit chain is shared.

01
PRACTICAL FEASIBILITY AUDIT
NO-GO MONITOR REDIRECT GO

Test the quantum claim before the budget moves.

SOLUTION 01  /  FEASIBILITYQU
BUYER METRIC 4 verdicts. NO-GO / MONITOR / REDIRECT / GO.

A quantum vendor showed pretty charts. The board wants a budget answer. Most teams have nothing defensible to point at. The Audit derives a best-case quantum runtime under stated assumptions, then runs the proposed algorithm against the strongest classical baseline. If even the best-case quantum runtime loses, the real implementation cannot beat it.

Four verdicts. Reformulation review precedes every one. The buyer leaves with a signed Manifest, a two-page board memo, a redirect path where the current candidate fails, and a citation block that names every source the analysis relied on.

WHAT THE BUYER LEAVES WITH
  • Signed Feasibility Manifest. Hashable JSON. Each input, assumption, solver run, cycle-count step, reformulation pass, and verdict, recorded.
  • Two-page board memo. The verdict per route, the assumption envelope, what would change the verdict, what to fund instead.
  • Redirect path. Where the current candidate fails, the memo names a different formulation, output requirement, or baseline that may survive.
  • Reformulation log. The audit trail of every reformulation considered. Tested, discarded, or promoted to a route.
  • Citation block. The primary methodology cited with a versioned reference. The Manifest names every source it relied on.
  • Reproducibility hash. Canonicalized SHA-256 over the full Manifest. The board signs on the hash. A re-run reproduces it.

Read the feasibility-audit page

02
POST-QUANTUM CRYPTOGRAPHY
1330d : 14h : 23m : 11s TIME TO NIST 2030 X Y Z

Your auditor asks for a Shor circuit and a T-count. What do you file?

SOLUTION 02  /  CRYPTANALYSIS PAIR
BUYER METRIC DORA Art. 28-30 filable today.

A regulated bank's audit window for post-quantum migration starts now. Most CISOs have nothing concrete to file under DORA Art. 28-30 beyond a vendor's marketing PDF. This tool produces what the CISO files instead: for each public-key asset the buyer supplies (RSA modulus, ECC curve, or DH-FFC group), the tool emits a single signed `.qapp` manifest. Inside it: the compiled Shor-family attack circuit in three decomposition variants, the per-vendor T-count and physical-qubit budget under each vendor's published roadmap, and the signed disambiguation field stating verbatim what was demonstrated and what was not.

Paired with the X+Y vs Z migration calculator (the buyer supplies shelf-life X and migration time Y; we anchor Z to the published expert-survey distribution), a hybrid-cipher recommendation anchored to FIPS 203 (ML-KEM-768), FIPS 204 (ML-DSA-65), and FIPS 205 (SLH-DSA-128s), and a KAT-verified test-vector circuit pack the buyer runs inside the HSM. The manifest is what the buyer files as DORA Art. 28-30 evidence of post-quantum migration position.

WHAT THE BUYER LEAVES WITH
  • Compiled Shor-family attack circuit per asset, in OpenQASM 3, three decomposition variants, re-runnable from inputs.
  • Per-vendor hardware-year crossover for IBM, IonQ, Quantinuum, Pasqal, and Atom Computing, sourced from the public roadmap registry.
  • X+Y vs Z migration window for the asset, anchored to the Global Risk Institute Quantum Threat Timeline 2025 expert-survey distribution. Outcome label (overdue / on-track / premature) and rationale.
  • KAT-verified ML-KEM-768 NTT and inverse-NTT structural circuits. Byte-equality check against the NIST KAT vectors. Runs inside the HSM.

What you bring to start: an RSA modulus, ECC curve, or DH-FFC group plus a signed asset-ownership attestation.

Read the cryptanalysis page

03
INDEPENDENT QUANTUM BENCHMARKING

Measure the vendor, not the brochure.

SOLUTION 03  /  BENCHMARKING PLATFORM
BUYER METRIC Scorecards auto-demote when the frontier advances.

A vendor brochure quotes a fidelity number. The buyer cannot tell whether the number was measured under conditions that match the buyer's workload, modelled from a separate calibration window, or framed for marketing. A VC technical-due-diligence partner reading the brochure cannot independently verify it; a procurement lead checking a vendor claim has no document to compare against. This tool produces the comparison document. Four benchmark protocols, all on a common discipline: randomized benchmarking + cycle benchmarking + linear cross-entropy benchmarking + Forrelation oracle.

Each fidelity number ships with a 95% bootstrap CI. An XEB number ships with a dated spoof-hardness witness naming defeated and not-defeated classical attacks AS OF the witness reference date. If the spoofing frontier moves on Tuesday, the registry updates on Wednesday and the affected scorecards demote with a dated reference. The buyer is buying a measurement, not a frozen number.

WHAT THE BUYER LEAVES WITH
  • Randomized benchmarking + cycle benchmarking + linear XEB + Forrelation, on a single signed manifest. Manifest SHA-256: `a00bf101f5be38fe3b5139cc470d1c5914997bb4d812d6eb129a7eca7743c0fb`.
  • 95% bootstrap CI on every fidelity number. No point estimates. No hidden uncertainty.
  • Dated spoof-hardness witness on every XEB scorecard. Demotion protocol when the frontier registry advances.
  • Provable classical lower bound on every Forrelation number. A vendor that beats the bound classically refutes a published theorem.

What you bring to start: a vendor scorecard claim, fidelity number, or XEB result you cannot independently verify.

Read the benchmarking page

04
VENDOR-AGNOSTIC QUANTUM COMPILATION

One circuit. Four vendors. One audit.

SOLUTION 04  /  VENDOR-AGNOSTIC TRANSPILER
BUYER METRIC 4 vendor cost surfaces in parallel.

The buyer hands over one circuit in OpenQASM 3 or as a Qiskit object. The tool returns four side-by-side artefacts the buyer can submit to four vendors, each with a deterministic cost manifest reporting depth, T-count, 2Q-gate count, SWAP overhead per the vendor coupling-map family, idle-time fraction, and predicted total infidelity with a bootstrap 95% CI.

Heavy-hex (IBM Heron r2). All-to-all trapped-ion (IonQ Tempo). Zoned-racetrack trapped-ion (Quantinuum H3). Neutral-atom Rydberg (Pasqal Orion β). Where a vendor is genuinely worse for a workload, the manifest says so. The 156-physical-qubit number is not a logical-qubit number and the registry row carries `logical_qubit_count: 0` to make the distinction unambiguous. Manifest SHA-256: `aa69456755e2027fda5ec65cc650683babd3af8e89623cc561ea3545b3dab738`.

WHAT THE BUYER LEAVES WITH
  • Four vendor-native artefacts per circuit, ready for submission to each vendor runtime.
  • Deterministic cost manifest per vendor: depth, T-count, 2Q-gate count, SWAP overhead, idle-time fraction, predicted infidelity with 95% CI.
  • Reproducibility envelope. Same seed, optimization level, basis gates, transpiler-pass order, SDK version, calibration timestamp, byte-equal artefacts.
  • Honest cost surfaces per vendor. Heavy-hex SWAP overhead on long-range circuits. All-to-all idle-time fraction on sparse layers. Zone shuttling cost flagged in `tbd_components`. Pasqal digital and analog wall-time reported separately, never collapsed.

What you bring to start: one OpenQASM 3 circuit and a target accuracy.

Read the transpiler page

05
QUANTUM CHEMISTRY FOR BATTERIES
H Li O S Mn Fe Co Ni

Your DFT-PBE reference. Audited at quantum-grade fidelity.

SOLUTION 05  /  CHEMISTRY COMPILER + BATTERY MATERIALS
BUYER METRIC Voltage delta target: 25 to 50 meV vs in-house DFT-PBE.

VP R&D at a battery-cell company (Samsung SDI / CATL / LG Energy / BASF Battery Materials) reads a DFT-PBE prediction for Li-intercalation voltage on a candidate cathode. The customer chemist team cannot easily benchmark that prediction against a quantum-grade method without standing up an in-house quantum chemistry program. This tool returns the comparison: for a sample cathode (LiNiO2, LiCoO2, Li-rich-NMC, or a customer-supplied variant), the tool returns a predicted Li-intercalation voltage in volts with a 95% CI and a delta to the customer's in-house DFT-PBE reference in meV. Target accuracy: within 25 to 50 meV of reference, the operative window for cell-grade voltage prediction.

No H2 or LiH trivial-pass. CCSD(T) is exact for those systems and a passing run on H2 demonstrates only that the compiler emits a syntactically valid circuit. The discriminator system is one where the classical method genuinely struggles (static correlation in stretched H4, or open-shell multireference in [2Fe-2S]). The classical baseline is keyed off `system_class` via an explicit handler matrix. CCSD(T) is rejected for periodic battery cathodes; AFQMC + DMET is the default; DFT-PBE / HSE06 is the customer-facing comparison anchor.

WHAT THE BUYER LEAVES WITH
  • Voltage prediction with 95% CI, delta to in-house DFT-PBE reference in meV, per sample cathode CIF.
  • Chemistry compilation report. Active-space construction, mapping, ansatz, tapering, transpilation report per vendor.
  • Classical baseline report. Method choice keyed off `system_class`. CCSD(T) rejected for periodic cathodes; AFQMC + DMET default; DFT-PBE / HSE06 customer-facing anchor.
  • Manifest with `chemistry_config_battery_alternate` block populated when the run target is a periodic cathode. Lattice vectors, k-point grid, supercell size, pseudopotential, boundary conditions, recorded.

What you bring to start: a CIF (crystal structure) and a DFT-PBE reference voltage from your in-house workflow.

Read the chemistry page

06
MITIGATION + MEASUREMENT SPINE
0 3.0 y

Every quantum number you publish is two answers. The screen value, and the bias bound.

SOLUTION 06  /  MITIGATION + MEASUREMENT SPINE
BUYER METRIC 10 to 100x shot-bill reduction on observable-heavy workloads.

Zero-noise extrapolation (ZNE) with pulse-stretching or gate-folding noise families, an analyticity diagnostic gating the bias bound, and Lindblad-truncation-derived bias certificates. Classical shadows (Clifford, Pauli, derandomised) with shadow sample-complexity certificates per prediction. Cycle benchmarking and randomized benchmarking emit the noise profile that downstream estimators consume.

On a 4-qubit GHZ Z-parity reference circuit under injected per-2Q-gate depolarising noise of rate 0.005 to 0.01, the ZNE-mitigated estimator CI overlaps the closed-form ideal value 1.0 within the bias bound. The Pauli-shadow predictor estimates ⟨Z⊗⁴⟩ within the shadow sample-complexity bound when N ≥ shadow_bound. The spine is what the other tools plug into: the cryptanalysis hardware run consumes its certificate hash, benchmarking consumes its noise profile, the transpiler infidelity prediction consumes its bias bound, and the chemistry voltage CI consumes its mitigated estimator.

WHAT THE BUYER LEAVES WITH
  • ZNE-mitigated estimator with explicit bias bound (Lindblad-truncation derivation) and 95% CI on every value.
  • Classical-shadow predictor with shadow sample-complexity certificate per prediction. No prediction emitted without the certificate.
  • Noise profile from cycle benchmarking + RB. Sparse Pauli channel, recovered to bootstrap CI on synthetic injection ground truth.
  • Cross-primitive overlap test. ZNE estimator CI and shadow estimator CI must overlap on the same reference circuit; the spine fails at gate if they do not.

Read the mitigation page

IV  /  HOW THE SOLUTIONS FEED EACH OTHER

Mitigation is the hub. Every other tool plugs into it. Arrows name the artifact each tool emits to the next. Feasibility gates the engagement; the board memo is the destination.

verdict-gated engagement verdict-gated engagement verdict-gated engagement calibration-traced attack circuit noise profile + CI bias-bounded estimator mitigated estimator shot-bill reduction primitive vendor-pinned cost surface voltage memo DORA-filable manifest FeasibilityQu Cryptanalysis Benchmarking Mitigation Transpiler Chemistry Board memo

Amber arrows touch the mitigation hub. Dark arrows reach the board memo. The diagram is the catalog's connective tissue stated once.

V  /  ENGAGEMENT MODEL

Three tiers. One posture across the catalog.

Posture inherited from the FeasibilityQu engagement and applied across the catalog. Specific pricing surfaced at the scoping call.

CATALOG
FINAL  /  REQUEST ENGAGEMENT

Pick a solution.
Bring an asset.

The brochures look the same. The manifests do not. Book a 30-minute catalog walkthrough; we line the buyer's asset against the closest solution and quote scope on the call.

[email protected]