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experiment-execution

Reference guide for running individual quantum calibration experiments and interpreting their results. Use when the user asks to run a single experiment (e.g. resonator spectroscopy, qubit spectroscopy, T1, T2), inspect experiment plots with the VLM, or query experiment history and schemas via the lab tool.

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experiment-execution
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Reference guide for running individual quantum calibration experiments and interpreting their results. Use when the user asks to run a single experiment (e.g. resonator spectroscopy, qubit spectroscopy, T1, T2), inspect experiment plots with the VLM, or query experiment history and schemas via the lab tool.
# Experiment Execution Guide Reference guide for running and analyzing quantum calibration experiments. ## Tools Available ### run_experiment Execute a quantum calibration experiment. ```python run_experiment( experiment_name="resonator_spectroscopy", params={ "center_freq": 6.0, "span": 0.2, "num_points": 101, "power": -20, "num_averages": 2000 } ) ``` Returns: `{"id": "...", "status": "success", "results": {...}, "plots": [...]}` ### vlm_inspect AI-powered visual analysis of experiment plots. ```python vlm_inspect( experiment_id="20240315_103015_resonator", prompt="Is there a clear dip? What is the resonator frequency and estimated SNR?" ) ``` Returns: Text analysis of the plot. ### lab Query experiment information and history. ```python lab(action="schema", experiment_name="resonator_spectroscopy") # Get parameter schema lab(action="history_show", experiment_id="...") # Get experiment details lab(action="get_stats", experiment_id="...", array_name="...") # Get array statistics ``` ## ⚠️ Data Analysis Rules **NEVER copy raw experiment arrays into shell commands.** Large arrays will be truncated and cause syntax errors. **DO use these approaches:** 1. **VLM analysis**: `vlm_inspect(experiment_id=..., prompt="...")` - visual plot analysis 2. **Returned scalars**: `run_experiment` returns fitted values like `resonator_freq`, `t2_star`, etc. 3. **Lab stats**: `lab(action="get_stats", experiment_id=..., array_name="...")` for array statistics **DON'T do this:** ```python # BAD - will fail with syntax errors execute("python3 -c 'data = [0.1, 0.2, 0.3, ...]'") # Arrays too long! ``` ## Standard Execution Flow 1. **Run experiment** with appropriate parameters 2. **Get experiment_id** from result 3. **Display results** - ALWAYS include this tag in your response: `<experiment experiment-id="THE_EXPERIMENT_ID" />` (Replace THE_EXPERIMENT_ID with the actual ID. This shows the interactive viewer with plots.) 4. **Analyze plots** with vlm_inspect - ask about peaks, dips, resonances, SNR 5. **Extract values** from VLM analysis (frequency, linewidth, SNR) 6. **Verify success criteria** if defined 7. **If failed, adjust and retry** (up to max attempts) ## Verifying Success Criteria After running an experiment, verify results against success criteria when applicable. ### When to Verify - **DO verify** when success criteria are defined in the workflow plan - **DO verify** when numeric thresholds need checking (SNR, linewidth, depth, etc.) - **SKIP verification** if user has already seen the plot and confirmed success - **SKIP verification** if no specific success criteria were provided ### Verification Methods **Visual (VLM):** Use `vlm_inspect` to analyze plots - Ask specific questions matching the criteria - Example: "Is there a single clear peak? What is the SNR? Is it greater than 5?" - Example: "Is there a visible dip with depth > 3 dB?" **Programmatic:** Check returned data values directly - Extract values from experiment results (e.g., `snr`, `peak_frequency`, `linewidth`) - Compare against thresholds in success criteria ## Typical Parameter Ranges | Experiment | Parameter | Typical Range | |------------|-----------|---------------| | qubit_spectroscopy | start/stop | 4500-5500 MHz | | qubit_spectroscopy | step | 0.5-10 MHz | | qubit_spectroscopy | num_avs | 500-5000 | | resonator_spectroscopy | start/stop | 6000-8000 MHz | | resonator_spectroscopy | step | 0.1-1 MHz | ## Success/Failure Indicators ### Good Data (Success) - Clear single peak or dip visible - SNR >= 5 (ideally >= 8) - Peak width reasonable (5-50 MHz for qubit) - Smooth baseline, low noise ### Bad Data (Retry Needed) - No visible peak/dip - Multiple peaks (ambiguous) - SNR < 3 - High noise floor - Saturation or clipping ## Retry Strategies If experiment fails, try these adjustments: 1. **No peak found**: Expand frequency range (1.5x wider) 2. **Low SNR**: Increase num_avs (2x more averaging) 3. **Multiple peaks**: Narrow range around strongest peak 4. **High noise**: Increase num_avs, check for interference ## Example Execution ``` Task: Run resonator spectroscopy centered at 6.0 GHz Attempt 1: > run_experiment(experiment_name="resonator_spectroscopy", params={"center_freq": 6.0, "span": 0.2, "num_points": 101, "num_averages": 2000}) > Result: experiment_id = "20240315_103015_resonator" > Include in response: <experiment experiment-id="20240315_103015_resonator" /> > vlm_inspect(experiment_id="20240315_103015_resonator", prompt="Is there a clear dip? What is the frequency and SNR?") > VLM: "Clear dip visible at 5.823 GHz. Estimated SNR ~12. Clean baseline." Success! Extracted: resonator_frequency = 5.823 GHz ```
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