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NEASQC, a major European project uniting academic experts and industrial end‑users, focused on designing quantum‑enabled applications capable of leveraging NISQ (Noisy Intermediate‑Scale Quantum) systems that will become available in the near future.

Driven by real industrial needs, NEASQC explored high‑value use cases such as drug discovery, CO₂ capture, smart energy systems, natural language processing, breast cancer detection, probabilistic risk assessment, and hydrocarbon well optimisation. The overarching ambition was to demonstrate that meaningful quantum advantage can already emerge during the NISQ era.

Key achievements of NEASQC

NISQ‑ready industrial use cases

  • Development of concrete applications across healthcare, chemistry, energy, environment and finance.
  • Early demonstrations showing where NISQ approaches can support optimisation, simulation and classification tasks.

New quantum software techniques

  • Advances in variational algorithms, quantum machine learning, quantum chemistry and error‑mitigation strategies.
  • Hybrid quantum–classical methods designed to extract value despite noisy hardware.

A common toolset for European users

  • Delivery of an open, shared software environment enabling new industrial actors to experiment with NISQ computing.
  • Tools for algorithm design, simulation, benchmarking and workflow integration.

Strengthening the European NISQ ecosystem

  • Training materials, documentation and demonstrators enabling broader adoption.
  • Engagement of a growing community of academic and industrial stakeholders.

NEASQC demonstrated that practical quantum computing is already emerging, as NISQ systems can deliver advantages for selected industrial and scientific tasks. The project delivered validated use cases, new algorithmic techniques, an open toolset and a strengthened European user community.
The European Commission commended the technical quality of the publications and  results and encouraged the consortium to pursue continued collaboration on future quantum initiatives.

Our role

Bull has played a critical role in the project, coordinating it and contributing expertise at the intersection of quantum computing, HPC and AI:

  • Hybrid HPC–quantum integration, enabling realistic evaluation of NISQ workflows.
  • Algorithmic expertise applied to several use cases to assess potential quantum advantage.
  • Expertise in quantum physics and chemistry applied to several use cases 
  • Contributions to the shared toolset, helping to build components aimed at industrial adoption.
  • Expertise in software engineering and open-source, guiding academic and industrial partners toward producing high quality open source software
  • Support for community building through dissemination and user engagement.

These contributions strengthened Bull’s position as a key European player in hybrid HPC/quantum technologies.

Funding Program
H2020
Project Duration
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