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Quantum Advantage in Continuous-Variable Architectures

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  • Swedish Research Council
  • 1 Jan 2019 to 31 Dec 2022

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Project funded by Swedish Research Council (Grant for positions or stipends), grant 2018-03752_VR. Participating organisations named by the source: Chalmers University of Technology. Funded amount: SEK 3,000,000, as stated by the source. Runs 2019-01-01 to 2022-12-31. Keywords: Naturvetenskap, Natural Sciences, Fysik, Physical Sciences, Atom- och molekylfysik och optik, Atom and Molecular Physics and Optics. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2025-12-06); national funding data, not CORDIS. Abstract given by the source: Quantum technologies are being fervidly developed to outperform classical devices for sensing, communications, and computation. The latter application relates to the fundamental question: can any physical model of computation be efficiently simulated by a Turing machine? Quantum mechanics predicts that no, and that instead some problems, intractable for classical computers, can be solved efficiently on a quantum computer, with important applications. However, quantum advantage has not yet been convincingly demonstrated, as only small quantum processors are implemented so far. New information encodings and hardware, based on the use of Continuous-Variable (CV) systems, could improve scalability.Not all CV quantum computers yield quantum advantage. In this project, I will pinpoint the origin of quantum advantage in CV. So far, only necessary conditions were given, based on the negativity of the Wigner function. As an original methodology, I will merge this approach with time-complexity scaling arguments. This will allow me to derive sufficient conditions in terms of the scaling of the Wigner function negativity with the circuit size. First, I will consider simple architectures, and assess whether a reference scaling exists, such that if the input state negativity surpasses it, quantum advantage is displayed. Then I will generalize to arbitrary CV quantum circuits. This study is essential in order to design computationally useful quantum architectures in CV.

Original source.

Source: OpenAIRE Graph: projects of national funders, OpenAIRE, from the project data of Swedish Research Council. Retrieved 2026-10-22. Licence: Creative Commons Attribution 4.0 (OpenAIRE Graph). Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Licence: Creative Commons Attribution 4.0 (CC BY 4.0).

AI-assisted summary: The project "Quantum Advantage in Continuous-Variable Architectures" is funded by the Swedish Research Council with a grant of SEK 3,000,000, running from January 1, 2019, to December 31, 2022, involving Chalmers University of Technology. Suggested technology pillar: computing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.

Source: explore.openaire.eu · checked 22 Oct 2026 · AI-assisted summary