Q-Bet: Bridging classical to quantum approaches, leveraging HPC and bio-inspired computational approaches, with applications in Physics, Channel Coding, and Bio-inspired AI.

Project funded by Fundação para a Ciência e a Tecnologia, I.P. (FCT) (Concurso de Projetos Exploratórios em Todos os Domínios Científicos 2023), grant 2023.14860.PEX. Funded amount: EUR 49,914.70, as stated by the source. Runs 2025-02-01 to 2026-07-31. Keywords: quantum computing and technologies, bio-inspired Artificial Intelligence (AI), High Performance Computing (HPC), Error correction codes, Exact sciences. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2025-07-20); national funding data, not CORDIS. Abstract given by the source: Bridging classical computing and quantum computing towards high-performance computing (HPC) systems involves harnessing the strengths of both approaches to tackle complex problems efficiently. Classical computing excels at executing sequential algorithms exploiting data locality and handling vast amounts of data up to some level of parallelism, while quantum computing offers the potential to solve certain problems exponentially faster through quantum parallelism and entanglement. Q-Bet will try to find a methodology to bridge the know-how acquired with 80 years from classical computing to make the leap to quantum computing, exploiting the strengths of each and overcoming the limitations of the other. This hybrid exploration of both technologies will be performed first running perfect qubits with HPC at quantum simulators in some of the fastest machines available in our datacenters at the University of Coimbra, and later on real noisy qubits from IBM (partner of the project) quantum machines. The middleware developed will foster the experimentation of new use cases in the quantum domain, namely in the physics arena by exploiting new potential agents in the form of particles sensing for solar energy conversion cells. We will also advance security problems for networks and communications by developing powerful error-correcting codes for quantum technology. Finally, we will explore bio-inspired computing and AI for performing Bayesian inference and running optimization algorithms in several domains. By integrating classical and quantum computing techniques, HPC systems can leverage the power of quantum algorithms for specific tasks while maintaining the robustness and scalability of classical systems. The exploratory nature of the project will allow integrating on a competitive environment a core team experienced in teaching and researching quantum computing. Adding new post-grads involving more departments and targeting emerging applications will be possible thanks to [shortened; the full text is on the OpenAIRE page]

Original source.

Source: OpenAIRE Graph: projects of national funders, OpenAIRE, from the project data of Fundação para a Ciência e a Tecnologia, I.P. (FCT). 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: Q-Bet is a project funded by Fundação para a Ciência e a Tecnologia, I.P., with a grant of EUR 49,914.70, running from February 1, 2025, to July 31, 2026. It aims to bridge classical and quantum computing approaches for applications in various scientific fields. Suggested technology pillar: computing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.