Lesson 133: Cost models for QPUs
Focus
Separate statistical noise from calibration drift before claiming algorithm wins. Token Cost models for QPUs:133 keeps neighbouring lessons differentiable.
Key ideas
- Thread: Cost models for QPUs · drill v3 · spin
66897. - 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
Noise-model YAML lite
model_id: QN-25416
pauli_twirl: "off"
depolarizing_p: 0.01844
readout_assignment: asymmetric_0
lesson_anchor: cohort_43
Practice
Practice Attach rollback notes if transpilation swaps exceed a chosen depth ceiling. — 133 Bump literals mindset by 14.