
- Research Council of Finland
- 1 Sep 2025 to 31 Aug 2029
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Project funded by Research Council of Finland, grant 371062. Participating organisations named by the source: Aalto University. Funded amount: EUR 464,285, as stated by the source. Runs 2025-09-01 to 2029-08-31. Keywords: Computer and information sciences. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2025-07-06); national funding data, not CORDIS. Abstract given by the source: A single quantum computer is often thought of as a distributed system instead of a single computational unit. The units in the distributed system are imperfect and a great challenge in quantum computing is to deal with faults in the units. The main goal of this project is to design algorithmic methods that 1) operate at scale and in real-time to address the effects of imperfections and 2) distribute a computation effectively across a distributed quantum computer. We employ a unified framework provided by the theory of quantum graph states (QGS). There are systematic and efficient translations between quantum circuits and QGS which offers us a clean way to design parallel algorithms that efficiently handle the faults.
Source: OpenAIRE Graph: projects of national funders, OpenAIRE, from the project data of Research Council of Finland. 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 "Distributing Quantum Computations using Defect-Free Graph States" is funded by the Research Council of Finland with EUR 464,285, running from September 2025 to August 2029, focusing on algorithmic methods for distributed quantum computing. 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