{
  "annotation_id": "d463cd49-32a7-4cd2-952e-a53d76601895",
  "date_created": "2026-02-17T05:53:11.939000Z",
  "date_modified": "2026-02-17T05:53:11.939000Z",
  "file_hash": "7473c18d1dd18e32353e9ef98d50b23d257ad046544029e55bda3cef6c2621b0",
  "private": false,
  "record": {
    "abstract": "Hybrid quantum systems combine the unique advantages of different physical platforms with the goal of realizing more powerful and practical quantum information processing devices. Mechanical systems, such as bulk acoustic wave resonators, feature a large number of highly coherent harmonic modes in a compact footprint, which complements the strong nonlinearities and fast operation times of superconducting quantum circuits. Here, we demonstrate an architecture for mechanical resonator-based quantum computing, in which a superconducting qubit is used to perform quantum gates on a collection of mechanical modes. We show the implementation of a universal gate set, composed of single-qubit gates and controlled arbitrary-phase gates, and showcase their use in the quantum Fourier transform and quantum period finding algorithms. These results pave the way toward using mechanical systems to build crucial components for future quantum technologies, such as quantum random-access memories.",
    "arxiv_id": "2601.07825",
    "authors": [
      "Yu Yang",
      "Igor Kladaric",
      "Martynas Skrabulis",
      "Michael Eichenberger",
      "Stefano Marti",
      "Simon Storz",
      "Jonathan Esche",
      "Raquel Garcia Belles",
      "Max-Emanuel Kern",
      "Andraz Omahen",
      "Arianne Brooks",
      "Marius Bild",
      "Mateo Fadel",
      "Yiwen Chu"
    ],
    "categories": [
      "quant-ph"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "Mechanical Resonator-based Quantum Computing",
    "url": "https://arxiv.org/abs/2601.07825",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "8c228b29-8239-4d3e-b85d-2bcf1d12d193",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}