Harnessing Quantum Uncertainty: Trustworthy Quantum Neural Computing for Quantum Utility

The Lancaster University acts as the project coordinator and central integrator. Lancaster University is a leader in the fields of quantum device physics, tensor network simulations, hybrid HPC–NISQ systems, and XAI for multimodal and biomedical datasets. Lancaster University ensures that theoretical developments are closely integrated with algorithmic implementation. Its Quantum Technology Centre (QTC), its HPC infrastructure and the AI expertise of the LIRA Centre form the computational backbone for model development, testing and benchmarking.

The LMU Munich is a research institution with many years’ expertise in the field of quantum computing (LMU is, amongst other things, a founding partner of PlanQK), LMU Munich provides support across all research-intensive work packages. As a university research group, LMU’s QAR-Lab plans to utilise the project results in teaching, in scientific publications and in funding and research projects based on IgnisQNC.

The Universidad Pablo de Olavide contributes expertise in large-scale data engineering, quantum machine learning, biomedical and biometric datasets, and XAI. The Universidad Pablo de Olavide supports the development of quantum-oriented pre-processing pipelines, the validation of NISQ-adapted algorithms on real-world datasets, and the implementation of uncertainty- and causality-aware attribution methods. Its HPC and quantum emulation infrastructure enables large-scale simulations and benchmarking, whilst also supporting public outreach and engagement with quantum technologies.

The Aqarios GmbH is a Munich-based technology company specialising in quantum computing, which develops software tools and algorithms for quantum-assisted optimisation. Aqarios GmbH ensures that the results produced by IgnisQNC are reproducible, scalable and applicable to industry. The company’s Luna platform enables hybrid workflows and thus practical applications in the fields of finance, biometric analysis and large-scale benchmark datasets. AQAR’s commitment bridges the gap between research and practical implementation and supports technology transfer as well as the commercialisation of project results.

The TU Bergakademie Freiberg contributes advanced, quantum-enabled data management, the integration of the Semantic Web, the handling of large databases and benchmarking. The TU Bergakademie Freiberg supports IgnisQNC by developing reproducible pipelines for structured quantum data, integrating knowledge graphs, and ensuring compliance with governance requirements and clinical relevance. Its expertise complements the algorithmic and industrial strengths of the other partners, thereby enabling a robust evaluation of QNNs across various application areas.