The problem we are paid to solve.
Your Fortune 500 engineering team runs tens of thousands of jobs every month on classical HPC. Some of them bleed millions. Some will benefit from quantum acceleration when the hardware matures.
Nobody can tell you which. That is the audit.
Two weeks. Four steps. One report.
Kickoff & Scope
Mutual NDA. Scoping call. We provide the on-prem CLI binary + Docker image. Your team confirms which Slurm / K8s / PBS clusters are in scope.
On-Prem Audit
CLI runs inside your firewall against scheduler logs. No raw data leaves your network. Classification + QSS + cost analysis happens locally on the head node.
Report Drafting
PDF generated locally. Technical advisor reviews the methodology and signs the final report. You see and approve the sanitized Latency Index manifest before any data crosses the firewall.
Delivery & Debrief
Board-ready PDF delivered. 2-hour debrief call with your engineering team. Top 10 workloads ranked. Next-quarter recommendations.
The 15 archetypes.
Every workload in your audit is classified against this library. Each archetype carries a hardware horizon and a confidence band — both visible to you in the final report.
Optimization
Combinatorial QAOA
Max-Cut / MIS / scheduling
Portfolio QAOA
Allocation with budget + risk constraints
MILP-mapped routing
Vehicle routing / network flow
Simulation
VQE molecular Hamiltonian
Drug discovery, small-molecule energetics
Quantum chemistry
Electronic structure beyond DFT
QPE eigenvalue
High-precision spectral problems
Search
Grover unstructured
Pre-image / SAT search
Grover-mapped CSP
Constraint satisfaction
Linear Algebra
HHL
Sparse linear systems (caveats apply)
Amplitude Estimation
Monte Carlo / derivatives / risk
Number Theory
Shor's algorithm
Factoring / discrete log
ML / Hybrid
Quantum kernel methods
SVM / classification on quantum features
Variational gradient
Quantum-assisted training
Graph / Stochastic
Quantum walks
Graph traversal / centrality
Stochastic optimization
Optimization under uncertainty
What this engagement actually buys you.
Three columns. The third column is the moat.
What we measure
- Every job classified against the 15-archetype library with high / medium / low / speculative confidence
- QSS computed per workload — five inputs, five weights, fully auditable
- Dollar-cost of every bottleneck using your supplied compute rates and observed runtime
- Earliest credible hardware horizon per archetype, with cited literature
- Queue-wait amortization across the top 10 workloads
What we deliver
- Board-ready PDF — executive summary, workload inventory, top 10 bottlenecks, QSS per workload, methodology appendix
- Methodology hash on every page — version-pinned to the public methodology PDF
- Anonymized Latency Index ranking — where you sit against industry peers (banded, not named)
- Prioritized roadmap of the workloads to track on each new QPU generation
- Two-hour debrief call with your engineering team
What we won't claim
- Specific speedup multipliers on today's NISQ-era hardware
- Quantum-advantage delivery dates we cannot defend with published evidence
- Vendor performance comparisons (IBM vs. IonQ vs. neutral-atom vs. anyone)
- ROI projections beyond classical bottleneck cost on your own infrastructure
- Forced classifications when no archetype credibly fits
This is the page no consultant writes. It is the page Fortune 500 CTOs pay for.
The Quantum Suitability Score, in practice.
Three real-shaped sample workloads, the same five inputs, three different verdicts.
VQE-mappable molecular dynamics (drug discovery)
Design-partner candidate when fault-tolerant chemistry hardware ships in stated horizon.
Monte Carlo derivatives pricing (overnight risk)
Track quarterly. Amplitude estimation has known speedup but requires hardware not yet at production fidelity.
Customer churn ML pipeline (gradient boosting on tabular data)
Classical is the right answer. No reasonable QPU horizon delivers value here. We will tell you this in writing.
Sample scores are illustrative. Real scores are computed deterministically from your scheduler logs, your compute rates, and the public methodology — and are reproducible from the inputs.
Runs inside your firewall. Period.
The audit CLI is a single signed binary. It runs on your HPC head node. It reads scheduler logs and process metadata locally. It never opens an outbound connection unless you type the consent flag.
Even then, the only data that leaves your network is the sanitized JSON manifest you reviewed yourself — hashed job names, archetype counters, aggregate cost vectors, scheduler type. No raw logs. No file paths. No user IDs. No source code.
What lands on your desk on Day 14.
A board-ready PDF. Methodology hash on every page. Signed by the technical advisor on file.
One SKU. Forty thousand dollars.
Single SKU for the first ten engagements. Tiered pricing after.
Included
- CLI license + on-prem deployment support
- Advisor-reviewed PDF report
- Anonymized Latency Index ranking
- Two-hour debrief call
- Signed methodology PDF
Not included
- Ongoing monitoring (Q3 2026 scheduler product)
- Pilot implementation work (separate SOW)
- Custom archetype development (case-by-case)
- LSF support in v1