1
Problem
2
Challenge
3
Solution
4
Implementation
5
Summary

Deployment and governance

Evidence, gates, rollback

The Problem

What production adds

Production introduces change management, access control, budget caps, incident response, and contractual SLAs. A successful lab demo answers scientific questions; a pilot answers operational ones.

This closing chapter synthesises cross-cutting requirements from the technical chapters: encoding discipline, baselines, and evidence you can defend under review.

The Challenge

Integration risk dominates asymptotic complexity

The Challenge

Where programmes stall

Teams discover late that batching policies, data residency rules, or latency budgets invalidate a cute circuit. The mitigation is to run the hybrid stack inside the same CI harness you use for classical models, with added hooks for shot noise and calibration drift.

Programme risks to name explicitly

Evidence drift: metrics change when the classical baseline silently updates.
Capacity cliffs: cost spikes when traffic leaves the toy regime.
Rollback: document how to route 100% traffic to the last known-good classical service.

The Solution

Promotion gates written like contract clauses

The Solution

What a gate contains

Each gate states a measurement, a threshold, an owner, and a remediation action when the threshold fails. “Improve the quantum model” is not a remediation; “disable layer X and re-run parity suite” is.

Minimum gate set

  • Statistical parity on locked validation data within agreed tolerance.
  • Runtime p95 and p99 under realistic batching and region placement.
  • Reproducibility: dataset hash, dependency lockfile, seed list, shot schedule.

Implementation

YAML-style charter + CI hooks

Implementation

Encode gates in version control so diffs are reviewable. The pattern below is representative, not exhaustive.

Pair with automated evaluation jobs triggered on each merge request touching quantum code paths.

Pilot charter fragment
pilot:
  owner: platform@example.com
  success_metrics:
    - name: val_accuracy_gap_vs_classical
      max: 0.005
    - name: latency_p95_ms
      max: 120
rollback:
  traffic: blue_green_to_classical_v3
  approver: sre@example.com

Repository README (install, kernels, versions)

Summary

Ship discipline, not mystique

Summary

Closing reminder

The workshop materials deliberately run on simulators so every stakeholder can reproduce the chain of thought. When you move toward specialised hardware, keep the artefacts—QUBO definitions, logs, classical baselines—identical in spirit so comparisons remain legible.

8
chapters
GitHub
source of truth
CPU
first environment

End of this thread

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