INTEGRATIONS & DEPLOYMENT
Drop into your existing quantum stack. No rip-and-replace.
QubitBoost works alongside your current SDKs, decoders, and cloud environments as a lightweight governance layer.
QUBITBOOST IN A REAL QUANTUM STACK
Integrates around quantum execution without modifying circuits, decoders, or hardware.
User Workloads
Quantum SDKs & Runtimes
QUBITBOOST — EXECUTION GOVERNANCE
Decoders & Control
• Production decoders
• MWPM
• Custom decoders
Evidence only
No control flow
Quantum Execution Platforms
Observability
• Decisions
• Confidence intervals
• Cost impact
• Backend health
QubitBoost operates as an execution governance layer with seven gates spanning pre-flight validation, real-time abort, QEC trust certification, solution quality validation, optimization control, VQE cost optimization, and QEC shot quality filtering. Each consumes evidence from existing execution and intervenes only when confidence or economic thresholds are violated.
HARDWARE VALIDATED
Multiple gates hardware-validated on real quantum processors across vendors. All gates trained on real calibration data. No synthetic benchmarks.
IBM Quantum
Fez, Torino, Marrakesh
Hardware ValidatedOptGate: 180+ circuits, 180K+ shots. ChemGate: IBM Fez validated (caffeine, warfarin). VQE-TAO: 32% eval savings. ShotValidator: 216K shots, 100% error capture in 6/9 configs.
120 calibration snapshots
Rigetti
Ankaa-3
Hardware ValidatedChemGate: 42% eval savings on Ankaa-3. OptGate: ISWAP-native trained model (448 shots).
10 calibration snapshots
IonQ
Aria, Forte
Calibration ValidatedOptGate: Vendor-specific model (192 shots). MS gate, full connectivity.
14 calibration snapshots
IQM
Garnet, Emerald
Calibration ValidatedOptGate: Vendor-specific model (192 shots). CZ native gate model.
2 calibration snapshots
146 calibration snapshots across 4 vendors and 8 backends. 4 gates hardware-validated on real QPUs. Cross-backend consistency <0.5% AR variance on IBM hardware.
Feb 2026. Rigetti upgraded from digital twin to hardware validated.
SUPPORTED INTEGRATION SURFACES
Cloud & Execution Platforms
QubitBoost integrates with managed quantum platforms through SDK- and API-level hooks.
Validated backends:
- •IBM Quantum — Fez, Torino, Marrakesh (hardware validated)
- •Rigetti — Ankaa-3 via AWS Braket (hardware validated)
- •IonQ — Aria, Forte via AWS Braket (calibration validated)
- •IQM — Garnet, Emerald (calibration validated)
Does not require control of scheduling, transpilation, or hardware configuration.
Decoder & Control-Plane Integration
QubitBoost is decoder-agnostic. It consumes evidence already produced during execution.
Evidence sources:
- •Syndrome histories
- •Decoder diagnostics
- •Cost metrics
- •Backend health signals
Compatible with production decoders, standard decoders, and custom pipelines.
No decoder logic is modified.
DEPLOYMENT MODES
SDK Mode
Embedded directly into user workflows for evaluation or research use.
Shadow Mode
Decisions are logged but not enforced. Used for validation and calibration.
Enforced Mode
Abort, defer, or certify decisions are applied automatically.
Managed / Enterprise
Deployed as a service with observability, audit logging, and rollout controls.
PYTHON SDK
Drop-in governance for any quantum workflow. Install and start in three lines.
# pip install qubitboost-sdk[qiskit]
from qubitboost_sdk import LiveSession
with LiveSession(backend="ibm_fez", doom_threshold=0.7) as session:
result = session.run(circuit, shots=10000)
print(result.doom_rate) # governance score
print(result.aborted) # True if doom detected
Backend extras: [ibm], [braket], [qm], [full]
Infrastructure Placement
Depending on requirements, QubitBoost can run:
No outbound data sharing is required for decision-making.
DESIGN GUARANTEES
QubitBoost integrates around quantum execution, not inside it.
ENTERPRISE INTEGRATION
Full enterprise integration documentation — including decoder adapters, deployment playbooks, governance controls, and audit considerations — is available on request.
REQUEST DOCUMENTATION