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

QECVQEQAOACalibrationBenchmarking
existing workflows

Quantum SDKs & Runtimes

QiskitBraket SDKCirqPennyLaneCustom pipelines
unchanged execution

QUBITBOOST — EXECUTION GOVERNANCE

TomoGate— Pre-Flight
Go / No-Go before execution
LiveGate— Early-Flight
Abort doomed runs early
SafetyGate— In-Flight
Trust / Defer decoded results
GuardGate— Solution Quality
Validate before deployment
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
TPP v1.0
ProvenanceTrust ScoreGate ScoresPolicy DecisionHMAC Signature

Decoders & Control

• Production decoders

• MWPM

• Custom decoders

Evidence only

No control flow

Quantum Execution Platforms

IBM FezIBM TorinoIBM MarrakeshRigetti Ankaa-3IonQ AriaIonQ ForteIQM GarnetIQM Emerald

Observability

• Decisions

• Confidence intervals

• Cost impact

• Backend health

No circuit modification
Decoder-agnostic
Fail-closed under uncertainty
7 gates, 4 vendors, 8 backends validated

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: 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 Validated

ChemGate: 42% eval savings on Ankaa-3. OptGate: ISWAP-native trained model (448 shots).

10 calibration snapshots

IonQ

Aria, Forte

Calibration Validated

OptGate: Vendor-specific model (192 shots). MS gate, full connectivity.

14 calibration snapshots

IQM

Garnet, Emerald

Calibration Validated

OptGate: 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:

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