Objectives
Quantum computing holds significant promise to transform many sectors of society, from data protection and medicine to financial forecasting. However, it still faces considerable challenges, including the lack of standardised tools, tailored training programmes, accessible infrastructure, and strong industrial collaboration.
QEC4QEA addresses these challenges by unlocking the practical potential of quantum computing for science, industry, and society. It will contribute to building a sustainable European ecosystem for quantum-enhanced applications.
What We Aim to Achieve
Establish an open library of hardware-independent quantum-enhanced applications and algorithms
QEC4QEA creates an open, hardware-agnostic library of quantum-enhanced solutions as a one-stop shop. It brings together reusable quantum algorithms for simulation, optimisation, and quantum machine learning, supporting a wide range of applications across science and industry.
Foster close collaboration between scientists, hardware developers and future end-users
QEC4QEA acts as a living bridge between developers, quantum computing experts, infrastructure providers, and end users, simplifying the integration of quantum technologies into existing and emerging applications.
Provide assisted and federated access to European HPC–QC resources
The web-based platform will provide assisted access to major European HPC-QC resources, including JUNIQ (FZJ), EuroQCS-France (CEA), EuroQCS-Spain (BSC), EuroQCS-Italy (CINECA), and EuroQCS-Poland (PSNC). In addition, it will offer an open repository of quantum and hybrid HPC-QC benchmarks and methodologies.
Deliver educational programmes, benchmarking support, and dedicated helpdesk services
QEC4QEA strengthens Europe’s quantum computing and HPC capacity through tailored training and support for students, academia and industry.
Set up QC/HPC co-development platforms
QEC4QEA will provide state-of-the-art collaborative quantum computing development platforms together with excellent HPC and quantum toolsets. Built on the latest research software engineering methods, these will enable efficient development, automated benchmarking and application testing, as well as code validation, quality assurance and streamlined software maintenance.