{
  "annotation_id": "26c8af83-5b21-48a2-9e82-d685f31cea15",
  "date_created": "2026-03-02T18:01:45.857000Z",
  "date_modified": "2026-03-02T18:01:45.857000Z",
  "file_hash": "133ba3c23057e57c35292e46f8a328aaa1e599e5b2371636d096911bfc517789",
  "private": false,
  "record": {
    "abstract": "So far proposed quantum computers use fragile and environmentally sensitive\nnatural quantum systems. Here we explore the notion that synthetic quantum\nsystems suitable for quantum computation may be fabricated from smart\nnanostructures using topological excitations of a neural-type network that can\nmimic natural quantum systems. These developments are a technological\napplication of process physics which is a semantic information theory of\nreality in which space and quantum phenomena are emergent.",
    "arxiv_id": "quant-ph/0111026",
    "authors": [
      "Reginald T. Cahill"
    ],
    "categories": [
      "quant-ph"
    ],
    "doi": "10.1117/12.454619",
    "title": "Smart Nanostructures and Synthetic Quantum Systems",
    "url": "https://arxiv.org/abs/quant-ph/0111026"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "ae6a2023-3fe0-463b-a021-9691fa874f0a",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}