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

QEC•VQE•QAOA•Calibration•Benchmarking

existing workflows

Quantum SDKs & Runtimes

Qiskit•Braket SDK•Cirq•PennyLane•Custom pipelines

unchanged execution

QUBITBOOST, EXECUTION GOVERNANCE

DriftRadar, Observability

Observe + select the backend that is stable right now

LiveGate, Early-Flight

Abort runs at round 2 when the signal says they will not recover

SafetyGate, In-Flight

Trust / Defer decoded results

OptGate, QAOA Optimization

Adaptive QAOA optimization

ChemGate, VQE Optimization

VQE cost reduction + safety gating

ShotValidator, QEC Shot Quality

Filter corrupted shots via syndrome agreement

Decisions are statistical, auditable, and reversible.

RESULT PASSPORT

v1.0

Provenance•Trust Score•Gate Scores•Policy Decision•HMAC Signature

Decoders & Control

• Production decoders

• MWPM

• Custom decoders

Evidence only

No control flow

Quantum Execution Platforms

IBM Fez•IBM Torino•IBM Marrakesh•Rigetti Ankaa-3•IonQ Aria•IonQ Forte•IQM Garnet•IQM Emerald

Observability

• Decisions

• Confidence intervals

• Cost impact

• Backend health

No circuit modification

Decoder-agnostic

Fail-closed under uncertainty

6 gates, 5 vendors, 8 backends

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 Validated

OptGate: 180+ circuits, 180K+ shots. ChemGate: 44.2% eval reduction on IBM Fez caffeine 16q (n=8, Apr 2026), reaches HF energy. ShotValidator: 216K shots, 74% mean capture across 9 configs (6/9 hit 100%).

120 calibration snapshots

Rigetti

Ankaa-3

Hardware Demo

OptGate: ISWAP-native trained model (448 shots). DriftRadar: single-round stub on Ankaa-3 (n=8K, beta). The earlier 57.3% SafetyGate Ankaa claim was withdrawn after the raw-data audit; multi-round QEC validation pending.

10 calibration snapshots

IonQ

Aria, Forte

Calibration Validated

OptGate: Vendor-specific model (192 shots). MS gate, full connectivity. Result Passport signed end-to-end.

14 calibration snapshots

IQM

Garnet, Emerald

Calibration Validated

OptGate: Vendor-specific model (192 shots). CZ native gate model.

2 calibration snapshots

Quantinuum

Enterprise Tier

Trapped-ion, signed Result Passport. EUR 8 per shot, available on Enterprise tier. Used for compliance-grade workloads where shot-cost is dominated by signed-record value.

connected via vendor SDK

146 calibration snapshots across 5 vendors and 8 backends. 6 gates hardware-validated on IBM Heron, plus DriftRadar cross-backend signal. Cross-backend consistency <0.5% AR variance on IBM hardware.

Last refresh May 2026. Rigetti currently a single-round stub for DriftRadar; multi-round QEC validation pending.

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:

Inside user applicationsAs a cloud-hosted serviceAs a sidecar alongside execution pipelinesOn-premise within restricted environments

No outbound data sharing is required for decision-making.

DESIGN GUARANTEES

No modification of circuits or algorithms

No interference with scheduling or queueing

No dependency on proprietary hardware features

Explicit fail-closed behavior under uncertainty

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