Skip to main content

Cryogenic silicon neuromorphic processor for quantum computing - CRYOPROC

Image: OJB Quantum, CC BY 4.0, via Wikimedia Commons (licence). Cropped and resized. Image credits
  • Research Council of Finland
  • 1 Sep 2022 to 30 Sep 2025

Project page and source record Share by email Share on LinkedIn

Participants, websites and capabilities are shown to signed-in members.Sign in or request access

Project funded by Research Council of Finland, grant 350325. Participating organisations named by the source: VTT Technical Research Centre of Finland. Funded amount: EUR 273,130, as stated by the source. Runs 2022-09-01 to 2025-09-30. Keywords: Physical sciences. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2026-07-23); national funding data, not CORDIS. Abstract given by the source: The booming field of quantum computing offers unprecedented exponential computational speedup. However, there are still a lot of challenges to realizing large-scale quantum computers. One of them is related to the ultra-low-power dissipation requirement for cryogenic electronics controlling quantum bits (qubits) and correcting their errors. Commercial nano-transistors dissipate too much power at low temperatures to be used for cryogenic electronics in a future quantum computer consisting of millions of qubits. Here we propose an alternative, non von Neuman processor architecture based on brain-neuron-mimicking artificial neural networks functioning down to 1 Kelvin (-272 Celsius). Fabricated within standard Si transistor technology, our cryo-neuromorphic processor offers fast and ultra-low-power computation capabilities to control large numbers of qubits. Moreover, it can be co-integrated with spin qubits on the same silicon chip, thus offering great scalability prospects.

Original source.

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 CRYOPROC project, funded by the Research Council of Finland with EUR 273,130, aims to develop a cryogenic silicon neuromorphic processor for quantum computing. It runs from September 1, 2022, to September 30, 2025, and involves VTT Technical Research Centre of Finland. 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