QuoUSKWe aims to accelerate the adoption of quantum computing by addressing key barriers such as complex programming
interfaces, limited optimization, and fragmented development tools.
The project is structured around four main research pillars of relevant academic and industrial interest.
Compiler and Toolchain Innovation: new software tools to enhance quantum programming, integrating the Qrisp language and
building a more intuitive, reusable, and extensible compiler infrastructure based on MLIR technology. By combining classical and
quantum optimizations, the project aims at improving the quality and efficiency of algorithms running on quantum devices.
Quantum Cryptanalysis: new quantum algorithms/circuits to accelerate attacks against quantum-safe cryptosystems, which will be
used to evaluate the degree of vulnerability of post-quantum cryptographic algorithms. This research will contribute to the
development of secure systems for public, commercial, and governmental use.
Quantum Artificial Intelligence(AI) in AI-Radio Area Networks (RAN) for 6G: combines classical & quantum computing to enhance AI
methods designed for real-time threat detection, low-latency autonomous control, and the implementation of Zero-Trust
architectures in 6G AI-RAN environments.
Quantum simulation of strongly correlated systems: explores how Hamiltonian simulation and quantum algorithms can support the
ground state preparation of strongly correlated systems to address the limitations of real hardware, and unlock superpolynomial
execution for applications in materials, chemistry, and optimization domains.
A key feature of QuoUSKWe is its focus on fostering strategic research collaborations between EU and ROK universities and firms,
which will use their complementary expertise to accelerate the co-design and development of quantum technologies, ensuring both
regions remain leaders in quantum innovation.