Analog-Digital Hybrid researcher track¶
Follow one state through gate operations and Analog evolution, then add shared parameters, scans and noise. Each lesson has a prediction, an executable example, result interpretation and exercises. Start after gates and coherence and global Analog drive.
| Lesson | Run from the repository root | What you will check |
|---|---|---|
| Beginner: shared state | python3 examples/user/tracks/hybrid_researcher/01_beginner_first_shared_state_en.py |
State continuity and a reset control produce different readout probabilities. |
| Shared parameters | python3 examples/user/tracks/hybrid_researcher/02_foundation_canonical_parameters_en.py |
One phase reaches both the RZ angle and the Analog drive. |
| Parameter scans | python3 examples/user/tracks/hybrid_researcher/03_applied_parameter_sweep_en.py |
Every point has the correct binding, status and probability. |
| Physical dephasing | python3 examples/user/tracks/hybrid_researcher/04_advanced_physical_noise_en.py |
A readout rotation reveals coherence loss against an ideal control. |
| Expert: resource planning | python3 examples/user/tracks/hybrid_researcher/05_expert_resource_planning_en.py |
The applied method, precision and worker count agree with the accepted plan. |
The scripts run local CPU simulations. Hybrid hardware execution, parallel quantum branches, mid-circuit measurement and feedback are not supported. Dynamic local addressing is available as a deterministic serial Analog control; time-dependent addressing describes that interface.
For interface details, use Local Hybrid simulation and Hybrid parameters. To turn a completed run into figures, see standard experiment visualization.