Analog learning route¶
Use atom geometry, waveforms and addressed controls to design small local experiments. Follow the lessons in order when the control model is new to you. Each includes a prediction, executable output and a change to try.
| Stage | Lesson | Command |
|---|---|---|
| Beginner | Global drive and state-space choice | python3 examples/user/tracks/quantum_experimentalist/01_beginner_global_ahs_en.py |
| Waveforms | Ramp and hold | python3 examples/user/tracks/quantum_experimentalist/02_foundation_waveform_design_en.py |
| Local detuning | Time dependence and site weights | python3 examples/user/tracks/quantum_experimentalist/03_applied_local_detuning_en.py |
| Local Rabi | A pi pulse on one atom | python3 examples/user/tracks/quantum_experimentalist/04_advanced_local_rabi_en.py |
| Expert practice | Target checks and reference compilation | python3 examples/user/tracks/quantum_experimentalist/05_expert_reference_compile_en.py |
The first lesson makes the state-space choice explicit. The following lessons separate waveform shape, spatial weights and coherent phase. Local detuning shifts energies; local Rabi drives transitions. Neither a target validation nor a compiled schedule establishes laboratory performance.
Apply the sequence in Rabi oscillations and finite interactions, which includes a duration scan, independent reference, bilingual reports and raw results. Move to the D-A-D experiment when gate preparation or readout helps answer your question.
The examples use local mock targets and CPU simulation. The reference compiler produces public representations for inspection. It does not allocate production channels, emit a private device payload or submit to hardware. For dynamic addressing, see local Rabi controls; continuous mask interpolation and parameterized frame topology remain unsupported.