{
  "annotation_id": "b3e6557f-22f7-42c7-9a08-b0107d0b1edd",
  "date_created": "2026-02-17T05:53:23.796000Z",
  "date_modified": "2026-02-17T05:53:23.796000Z",
  "file_hash": "9e2eaa8ebb6b4d13bf5e2bd5a3e216a1e20407c6790e66bd32084871ded54f96",
  "private": false,
  "record": {
    "abstract": "Quantum state tomography is essential for characterizing quantum systems, but it becomes infeasible for large systems due to exponential resource scaling. Overlapping tomography addresses this challenge by reconstructing all $k$-body marginals using few measurement settings, enabling the efficient extraction of key information for many quantum tasks. While optimal schemes are known for qubits, the extension to higher-dimensional qudit systems remains largely unexplored. Here, we investigate optimal qudit overlapping tomography, constructing local measurement settings from generalized Gell-Mann matrices. By establishing a correspondence with combinatorial covering arrays, we present two explicit constructions of optimal measurement schemes. For $n$-qutrit systems, we prove that pairwise tomography requires at most $8 + 56\\left\\lceil \\log_{8} n \\right\\rceil$ measurement settings, and provide an explicit scheme achieving this bound. Furthermore, we develop an efficient algorithm to determine the optimal order of these measurement settings, minimizing the experimental overhead associated with switching configurations. Compared to the worst-case ordering, our optimized schedule reduces switching costs by approximately 50\\%. These results provide a practical pathway for efficient characterization of qudit systems, facilitating their application in quantum communication and computation.",
    "arxiv_id": "2601.10059",
    "authors": [
      "Shuowei Ma",
      "Qianfan Wang",
      "Lvzhou Li",
      "Fei Shi"
    ],
    "categories": [
      "quant-ph"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "Optimal qudit overlapping tomography and optimal measurement order",
    "url": "https://arxiv.org/abs/2601.10059",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "7d779dd4-e68a-4b8b-b195-120f5d1d4b7e",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}