ACOS Introduction

The Quality Assurance Challenge

Quantum computing hardware is inherently noisy and variable. Gate fidelities change with calibration cycles, environmental conditions, and device drift. Organizations running production quantum workloads need assurance that their computations meet quality standards.

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Key Challenges

Calibration Drift

Quantum devices require regular calibration. Between calibrations, performance can degrade unpredictably.

No Quality Guarantees

Traditional quantum execution provides no proof of execution quality. You get results, but no indication of their reliability.

Static Optimization

Circuits optimized for one calibration may not be optimal for the next. Manual re-optimization is impractical.

Compliance Requirements

Regulated industries need auditable proof of computational quality.

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The ACOS Solution

ACOS addresses these challenges with three integrated components:

1. Attestation Engine

Provides cryptographic certificates of execution quality:

{
  "attestation_id": "att_abc123",
  "job_id": "job_xyz789",
  "backend": "ionq_aria",
  "quality_score": 0.95,
  "fidelity_estimate": 0.97,
  "calibration_timestamp": "2026-02-06T10:00:00Z",
  "signature": {
    "algorithm": "ML-DSA-65",
    "value": "base64:..."
  }
}

2. Continuous Optimizer

Automatically adapts circuits to current hardware conditions:

optimizer = ContinuousOptimizer()

# Uses latest calibration data
result = optimizer.optimize(
    circuit=circuit,
    backend="ionq_aria",
    use_current_calibration=True
)

# Circuit now optimized for current device state

3. Quality Monitor

Real-time tracking of execution quality:

monitor = QualityMonitor()

status = monitor.get_status("ionq_aria")
print(f"Current fidelity: {status.fidelity:.2%}")
print(f"Trend: {status.trend}")  # 'improving', 'stable', 'degrading'

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Attestation Architecture

┌─────────────────────────────────────────────────────────────┐
│                    Attestation Flow                          │
├─────────────────────────────────────────────────────────────┤
│                                                             │
│  [Circuit]──>[Execution]──>[Results]──>[Attestation]       │
│       │            │            │              │            │
│       ▼            ▼            ▼              ▼            │
│  ┌─────────┐ ┌──────────┐ ┌─────────┐ ┌──────────────┐     │
│  │ Input   │ │ Backend  │ │ Output  │ │ Certificate  │     │
│  │ Hash    │ │ Metrics  │ │ Quality │ │ + Signature  │     │
│  └─────────┘ └──────────┘ └─────────┘ └──────────────┘     │
│                                                             │
└─────────────────────────────────────────────────────────────┘

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Quality Metrics

ACOS tracks multiple quality dimensions:

Metric	Description	Target
Fidelity Estimate	Estimated output fidelity	>95%
Gate Error Rate	Aggregate gate errors	<0.5%
Readout Error	Measurement errors	<1%
Circuit Depth	Optimized vs original	-30%
T1/T2 Compliance	Decoherence check	Pass

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Continuous Optimization

The optimizer considers current calibration data:

Input

• Original circuit
• Target backend
• Current calibration

Optimization Steps

1. Gate Decomposition: Native gate set
2. Topology Mapping: Qubit connectivity
3. Error-Aware Routing: Avoid low-fidelity qubits
4. Gate Cancellation: Remove redundancies
5. Pulse Optimization: Hardware-level tuning

Output

• Optimized circuit
• Expected improvement
• Quality predictions

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Monitoring Capabilities

Real-Time Dashboard

• Current fidelity levels
• Queue depths
• Calibration status
• Anomaly alerts

Historical Analysis

• Trend visualization
• Performance patterns
• Maintenance predictions

Alerting

• Webhook notifications
• Email alerts
• PagerDuty integration

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Attestation Types

Type	Contents	Use Case
execution	Single job attestation	Standard jobs
batch	Multi-job attestation	Batch processing
continuous	Time-window attestation	Production systems
comparative	A/B comparison attestation	Optimization validation

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Integration with Other Modules

With Evidence

Attestations can be included in Evidence bundles:

evidence = evidence_client.generate(
    job_id="job_xyz789",
    include_attestation=True
)

With Network

Attestations for distributed executions:

result = network.execute(
    circuit=circuit,
    backends=["ionq", "ibm"],
    attestation=True
)

With NavCore

Position attestations for critical navigation:

position = gps.get_position(
    attestation=True
)

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Getting Started

Ready to add quality assurance to your quantum workloads?

1. Quick Start Guide - Get your first attestation
2. API Reference - Explore the ACOS API
3. Monitoring Guide - Set up quality monitoring
4. Benchmark Guide - Continuous benchmarking

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