demos/demonstrations_v2/tutorial_diffable_shadows/metadata.json at 776081c5d42245d54d1dc1b24374b4eddf970d19 · PennyLaneAI/demos · GitHub

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{
    "title": "Estimating observables with classical shadows in the Pauli basis",
    "authors": [
        {
            "username": "Qottmann"
        }
    ],
    "executable_stable": true,
    "executable_latest": true,
    "dateOfPublication": "2022-10-07T00:00:00+00:00",
    "dateOfLastModification": "2026-03-27T00:00:00+00:00",
    "categories": [
        "Algorithms",
        "Quantum Computing"
    ],
    "tags": [],
    "previewImages": [
        {
            "type": "thumbnail",
            "uri": "/_static/demo_thumbnails/regular_demo_thumbnails/thumbnail_estimating_observables_classical_shadows_Pauli_Basis.png"
        }
    ],
    "seoDescription": "Classical shadows in the Pauli basis",
    "doi": "",
    "references": [
        {
            "id": "Huang2020",
            "type": "article",
            "title": "Predicting Many Properties of a Quantum System from Very Few Measurements",
            "authors": "Hsin-Yuan Huang, Richard Kueng, John Preskill",
            "year": "2020",
            "journal": "",
            "url": "https://arxiv.org/abs/2002.08953"
        },
        {
            "id": "Huang2021",
            "type": "article",
            "title": "Efficient estimation of Pauli observables by derandomization",
            "authors": "Hsin-Yuan Huang, Richard Kueng, John Preskill",
            "year": "2021",
            "journal": "",
            "url": "https://arxiv.org/abs/2103.07510"
        },
        {
            "id": "Yen",
            "type": "article",
            "title": "Deterministic improvements of quantum measurements with grouping of compatible operators, non-local transformations, and covariance estimates",
            "authors": "Tzu-Ching Yen, Aadithya Ganeshram, Artur F. Izmaylov",
            "year": "2022",
            "journal": "",
            "url": "https://arxiv.org/abs/2201.01471"
        }
    ],
    "basedOnPapers": [],
    "referencedByPapers": [],
    "relatedContent": [
        {
            "type": "demonstration",
            "id": "tutorial_classical_shadows",
            "weight": 1.0
        },
        {
            "type": "demonstration",
            "id": "ml_classical_shadows",
            "weight": 1.0
        }
    ]
}