Datasets:
language:
- en
license: mit
pretty_name: Quantum Control Pulse Instability
task_categories:
- tabular-classification
tags:
- clarusc64
- stability-reasoning
- quantum-computing
- control-pulses
- calibration
- nisq
- tabular
size_categories:
- n<1K
quantum-control-pulse-instability-v0.1
What this dataset does
This dataset evaluates whether models can detect instability in quantum control pulse regimes.
Each row represents a simplified control scenario where quantum gates are implemented through microwave or optical pulse sequences.
The task is to determine whether the pulse regime remains stable or becomes unstable due to drift, noise, or synchronization failures.
Core stability idea
Quantum control relies on precise pulse timing, amplitude stability, and calibration.
Instability emerges when control drift and noise accumulate faster than calibration and feedback mechanisms can compensate.
Signals that interact include:
- qubit count
- pulse amplitude stability
- pulse timing jitter
- calibration drift
- cross-talk
- thermal noise
- control feedback latency
- pulse sequence length
- measurement error
No single variable determines collapse. Instability emerges from interactions between noise, drift, and control feedback delay.
Prediction target
label = 1 → control pulse instability
label = 0 → stable control regime
Row structure
Each row contains proxies describing control system stability:
- qubit count
- pulse amplitude proxy
- pulse timing jitter proxy
- calibration drift proxy
- cross-talk proxy
- thermal noise proxy
- control feedback latency proxy
- pulse sequence length
- measurement error proxy
Evaluation
Predictions must follow:
scenario_id,prediction
Example:
QP101,0
QP102,1
Run evaluation:
python scorer.py --predictions predictions.csv --truth data/test.csv --output metrics.json
Metrics produced:
accuracy
precision
recall
f1
confusion matrix
Structural Note
This dataset reflects latent quantum stability geometry expressed through observable control system proxies.
The dataset generator and underlying stability rules are not included.
This dataset is not a quantum hardware simulator. It is a compact stability-reasoning benchmark.
License
MIT