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title: SQuADDS ML Inference API
sdk: docker
app_port: 7860
license: mit
---
# SQuADDS ML Inference API
Auto-generated deployment bundle for serving ML_qubit_design models with a FastAPI app.
## Live URLs
- Space repo: https://huggingface.co/spaces/SQuADDS/squadds-ml-inference-api
- Space host: https://squadds-squadds-ml-inference-api.hf.space
## Endpoints
- `GET /health`
- `GET /models`
- `POST /predict`
## Quickstart
List models:
```bash
curl https://squadds-squadds-ml-inference-api.hf.space/models
```
## Included Models
Run a sample prediction:
```bash
curl -X POST \
https://squadds-squadds-ml-inference-api.hf.space/predict \
-H 'Content-Type: application/json' \
-d '{"model_id": "transmon_cross_hamiltonian_inverse", "inputs": {"qubit_frequency_GHz": 4.85, "anharmonicity_MHz": -205.0}, "options": {"include_scaled_outputs": false}}'
```
Sample response:
```json
{
"model_id": "transmon_cross_hamiltonian_inverse",
"display_name": "TransmonCross Hamiltonian to Geometry",
"predictions": [
{
"design_options.connection_pads.readout.claw_length": 0.00011072495544794947,
"design_options.connection_pads.readout.ground_spacing": 4.571595582092414e-06,
"design_options.cross_length": 0.0002005973074119538
}
],
"metadata": {
"input_order": [
"qubit_frequency_GHz",
"anharmonicity_MHz"
],
"output_order": [
"design_options.connection_pads.readout.claw_length",
"design_options.connection_pads.readout.ground_spacing",
"design_options.cross_length"
],
"input_units": {
"qubit_frequency_GHz": "GHz",
"anharmonicity_MHz": "MHz"
},
"output_units": {
"design_options.connection_pads.readout.claw_length": "m",
"design_options.connection_pads.readout.ground_spacing": "m",
"design_options.cross_length": "m"
},
"num_predictions": 1
}
}
```
- `transmon_cross_hamiltonian_inverse`: Inverse model that predicts TransmonCross geometry parameters from target Hamiltonian values.
## Skipped Models
- `transmon_cross_cap_matrix_inverse`: No model checkpoint found. Expected one of: model/best_keras_model_one_hot_encoding.keras, model/best_keras_model_surrogate_defined_loss.keras, model/best_keras_model_model2_surrogate.keras
- `coupler_ncap_cap_matrix_inverse`: No model checkpoint found. Expected one of: model/best_keras_model_one_hot_encoding.keras, model/best_keras_model_surrogate_defined_loss.keras, model/best_keras_model_model2_surrogate.keras
- `cavity_claw_route_meander_inverse`: No model checkpoint found. Expected one of: model/best_keras_model_one_hot_encoding.keras, model/best_keras_model_surrogate.keras, model/best_keras_model_model2_surrogate.keras
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