{
  "id": "lib-process:quantum-computing--quantum-neural-network-training",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "quantum-neural-network-training",
    "description": "Design and train quantum neural networks (QNNs) for machine learning tasks,\naddressing challenges like barren plateaus and optimizing training strategies.",
    "libraryPath": "library/specializations/domains/science/quantum-computing/quantum-neural-network-training.js",
    "specialization": "quantum-computing",
    "example": "const result = await orchestrate('quantum-neural-network-training', {\n  task: 'regression',\n  architecture: { layers: 4, qubits: 8 },\n  dataset: { X_train, y_train, X_test, y_test }\n});",
    "usesAgents": [
      "qnn-trainer"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:quantum-computing--quantum-neural-network-training",
      "to": "skill-area:mathematical-reasoning",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:quantum-computing--quantum-neural-network-training",
      "to": "skill-area:compiler-implementation",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:quantum-computing--quantum-neural-network-training",
      "to": "skill-area:language-design",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:quantum-computing--quantum-neural-network-training",
      "to": "domain:quantum-computing",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:quantum-computing--quantum-neural-network-training",
      "to": "role:research-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:quantum-computing--quantum-neural-network-training",
      "to": "workflow:experiment-design",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:quantum-computing--quantum-neural-network-training",
      "to": "specialization:quantum-computing",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:quantum-computing--quantum-neural-network-training",
      "to": "lib-agent:quantum-computing--qnn-trainer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}