As NP-hard routing and scheduling overwhelm exact solvers, Argo Mesh 1.0 applies QAOA sampling, classical refinement, and formal SMT verification — clearing auditable solutions for logistics, fleet safety, and resource allocation.
Data-T advances smarter optimization through industry-leading hybrid quantum sampling, classical repair, and machine-checkable constraint verification for mission-critical combinatorial problems.
NISQ proposal distributions over exponential search spaces.
Greedy bit-flip and structure-aware local search.
Z3 formal proofs for hard fleet-safety constraints.
Status, fleet, and quantum history in one console.
Raw versus refined metrics for reproducible benchmarks.
Zenodo archive and laboratory JSON snapshots.
Laboratory runs lift raw QAOA optimality from ~9% to ~24% after classical refinement.
Formal verification certifies safety constraints with machine-checkable z3 proofs.
AIS fleet telemetry feeds combinatorial routing and proximity safety checks.
Hybrid Quantum Optimization documents the three-layer architecture on Zenodo.
Same-origin proxy at /api/argomesh forwards JSON to the Hybrid Quantum Optimization backend (ArgoSea FastAPI). Converted from the ArgoSea operations console. Endpoints: /health, /status, /fleet, /verify, /quantum/runs, /quantum/latest/refined, and /overview.
Converted from ArgoSea operations console — live FastAPI overview, z3 safety proof, AIS fleet, and refined QPU job history for combinatorial optimization.
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| Job | Backend | Qubits | Shots | Raw | Refined | When |
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What's New at Data-T — Argo Mesh 1.0 API releases, hybrid quantum research, and combinatorial news.