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experiment-execution

run quantum calibration experiments

Published by NVIDIA Updated Jul 14
Covers Benchmarking NVIDIA Simulation Quantum Computing

Description

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.

SKILL.md

Experiment Execution Guide

Reference guide for running and analyzing quantum calibration experiments.

Tools Available

run_experiment

Execute a quantum calibration experiment.

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.

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.

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:

# 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

ExperimentParameterTypical Range
qubit_spectroscopystart/stop4500-5500 MHz
qubit_spectroscopystep0.5-10 MHz
qubit_spectroscopynum_avs500-5000
resonator_spectroscopystart/stop6000-8000 MHz
resonator_spectroscopystep0.1-1 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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