← Curriculum track ← Learn hub
Quanta GenAI Curriculum · Quantum AI · Basic

Quantum AI Basic — 022: isolate post-selection bias on `Shot budgeting for early demos` — memo `419101 [22]`

Lesson 022: Shot budgeting for early demos

Focus

Separate statistical noise from calibration drift before claiming algorithm wins. Token Shot budgeting for early demos:22 keeps neighbouring lessons differentiable.

Key ideas

Deep dive notebook

Synthetic drill artefacts

Noise-model YAML lite

model_id: QN-4204
pauli_twirl: "warm_start"
  depolarizing_p: 0.00622
  readout_assignment: asymmetric_0
  lesson_anchor: cohort_15

Practice

Practice Paste the circuit scaffold into an experiment wiki stub and annotate topology constraints. — 22 Bump literals mindset by 22.