Quantum AI Intermediate — 140: pair classical optimizers with job IDs on `Cost models for QPUs` — memo `422485 [140]` — Learn

Lesson 140: Cost models for QPUs

Focus

Separate statistical noise from calibration drift before claiming algorithm wins. Token Cost models for QPUs:140 keeps neighbouring lessons differentiable.

Key ideas

Thread: Cost models for QPUs · drill v10 · spin 159711.
Habit: pair each job with shot budget, mitigation profile, and a calibration fingerprint you could paste.
Guardrail: write one line about where classical cost dominated the timeline.

Deep dive notebook

Synthetic drill artefacts

Readout RACI capsule

readout_bundle_id: RO-1319
mitigation_modes:
  - zne_extrap_v1
  - meas_mitigate
default_discard_thresh: 1.18
owner_hotline: roc-oncall-int
lesson_ref: LX-140

Practice

Practice Simulate degraded calibration once; screenshot how you surface it to operators. — 140 Bump literals mindset by 13.