{
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  "@type": "article",
  "@id": "https://anchorfact.org/kb/quantum-machine-learning",
  "headline": "Quantum Machine Learning: Tensor Networks, QNNs, and Error Mitigation",
  "description": "Quantum Machine Learning sits at the intersection of quantum computing and AI. Current research focuses on quantum error mitigation via ML, tensor network-inspired architectures, and quantum kernel methods — practical applications on noisy intermediate-scale quantum (NISQ) devices.",
  "dateCreated": "2026-05-24T02:49:13.653Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "Machine learning for practical quantum error mitigation",
      "sameAs": "https://www.nature.com/articles/s42256-024-00927-2"
    },
    {
      "@type": "CreativeWork",
      "name": "Tensor networks for quantum machine learning",
      "sameAs": "https://doi.org/10.1098/rspa.2023.0218"
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}