QubitBoost™ Quantum Flight Control
API Reference v2.5.0
| Module | Endpoints | Description |
|---|---|---|
| SafetyGate | 11 | QEC trust certification — batch post-selection filtering, noise classification, Pareto optimization, and correlation detection. Hardware-validated: 38–57% LER reduction on IBM Torino and Rigetti Ankaa-3. |
| LiveGate | 4 | Real-time doom detection and early abort for QEC circuits. Estimates doom probability from mid-circuit syndrome data and calculates cost savings from aborting doomed shots. Hardware-validated: 85–95% budget savings. |
| OptGate | 3 | Adaptive QAOA optimizer and solution quality gate. Evaluates QAOA solutions for quality, checks constraint satisfaction, and provides noise-aware optimization metrics. Hardware-validated: 117–208x fewer shots than COBYLA. |
| ChemGate | 3 | VQE evaluation savings through operator selection trust gating. Validates that VQE operator subsets maintain trust guarantees. Hardware-validated: 32–42% evaluation savings. |
| GuardGate | 2 | QAOA solution quality gate — stricter quality evaluation than OptGate. Catches constraint violations and ensures solutions meet minimum approximation ratios before acceptance. |
| TomoGate | 3 | Pre-flight state certification. Classifies gate/qubit quality for tomography viability, assesses chain quality from calibration data, and serves latest backend calibrations. |
| ShotValidator | 3 | Redundant syndrome verification — scores individual shots for syndrome consistency using fan-out agreement. Hardware-validated: 100% error capture on IBM Fez. |
| Passport | 7 | Result Passport — cryptographically signed trust certificates for quantum computation results. Generates, verifies, compares, and scores trust passports across all gates. |
| Backends | 4 | Backend noise profile management. List, inspect, compare, and get recommendations for quantum hardware backends across IBM, Rigetti, IonQ, and IQM. |
| Physics | 4 | Physics-based error prediction models. Predicts T1-induced errors, maximum circuit depth, depolarizing error floor, and measurement error contributions from first principles. |
10 modules|44 endpoints|v2.5.0