{
  "generated_at": "2026-04-11T02:52:17.016202+00:00",
  "space": {
    "repo_id": "SQuADDS/squadds-ml-inference-api",
    "title": "SQuADDS ML Inference API",
    "sdk": "docker",
    "app_port": 7860,
    "license": "mit",
    "host": "https://squadds-squadds-ml-inference-api.hf.space",
    "repo_url": "https://huggingface.co/spaces/SQuADDS/squadds-ml-inference-api"
  },
  "models": [
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      "id": "transmon_cross_hamiltonian_inverse",
      "display_name": "TransmonCross Hamiltonian to Geometry",
      "description": "Inverse model that predicts TransmonCross geometry parameters from target Hamiltonian values.",
      "artifact_dir": "artifacts/transmon_cross_hamiltonian_inverse",
      "model_path": "model/best_inverse_model_surrogate_defined_loss.keras",
      "input_names_path": "X_names",
      "input_names_format": "text_lines",
      "output_names_path": "y_columns.npy",
      "output_names_format": "npy",
      "x_scaler_pattern": "scalers/scaler_X_{name}.save",
      "y_scaler_pattern": "scalers/scaler_y_{name}_one_hot_encoding.save",
      "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"
      },
      "sample_request": {
        "model_id": "transmon_cross_hamiltonian_inverse",
        "inputs": {
          "qubit_frequency_GHz": 4.85,
          "anharmonicity_MHz": -205.0
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        "options": {
          "include_scaled_outputs": false
        }
      },
      "sample_response": {
        "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
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        ],
        "metadata": {
          "input_order": [
            "qubit_frequency_GHz",
            "anharmonicity_MHz"
          ],
          "output_order": [
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            "design_options.connection_pads.readout.ground_spacing",
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          "input_units": {
            "qubit_frequency_GHz": "GHz",
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          "output_units": {
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            "design_options.connection_pads.readout.ground_spacing": "m",
            "design_options.cross_length": "m"
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          "num_predictions": 1
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      },
      "status": "ready",
      "status_detail": "",
      "tags": [
        "inverse-design",
        "transmon",
        "hamiltonian"
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      "prediction_output_index": 0
    },
    {
      "id": "transmon_cross_cap_matrix_inverse",
      "display_name": "TransmonCross Cap Matrix to Geometry",
      "description": "Inverse model that predicts TransmonCross geometry parameters from cap matrix targets.",
      "artifact_dir": "",
      "model_path": "",
      "input_names_path": "X_names",
      "input_names_format": "text_lines",
      "output_names_path": "y_columns.npy",
      "output_names_format": "npy",
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      "status_detail": "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",
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        "cap-matrix"
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    {
      "id": "coupler_ncap_cap_matrix_inverse",
      "display_name": "NCap Coupler Cap Matrix to Geometry",
      "description": "Inverse model that predicts NCap coupler geometry from cap matrix targets.",
      "artifact_dir": "",
      "model_path": "",
      "input_names_path": "X_names",
      "input_names_format": "text_lines",
      "output_names_path": "y_columns.npy",
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      "input_units": {},
      "output_units": {},
      "sample_request": null,
      "sample_response": null,
      "status": "missing_model_artifact",
      "status_detail": "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",
      "tags": [
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        "coupler",
        "cap-matrix"
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    {
      "id": "cavity_claw_route_meander_inverse",
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      "description": "Inverse model that predicts cavity claw RouteMeander geometry from target cavity frequency and kappa.",
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      "model_path": "",
      "input_names_path": "X_names",
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      "input_units": {},
      "output_units": {},
      "sample_request": null,
      "sample_response": null,
      "status": "missing_model_artifact",
      "status_detail": "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",
      "tags": [
        "inverse-design",
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        "readout"
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}