HyQCuP – Hybrid Quantum Computing Programme

Project duration: 01.01.2027 – 31.12.2027

We integrate the data in Attraqt and QMPC (MILP-based methods, E-VQE, F-VQE), as well as two use cases, as tested Python modules into the QCI Connect SDK and validate them through benchmarks and a hackathon for the DLR QCI community and industrial users.

Quantum-classical hybrid optimisation algorithms based on Attraqt’em and QMPC have been developed, but are not available within a platform-independent framework. The project bridges this gap by integrating them as Python modules into the QCI Connect SDK. In doing so, it simplifies their use for the DLR QCI community and industry, enables reproducible benchmarking and lays the foundation for scalable, industrial quantum optimisation applications.

Motivation

In Attraqt’em and QMPC, powerful hybrid algorithms were developed that combine classical factorisation strategies with quantum computing. However, these were implemented on a project-specific basis and are neither standardised nor available within a framework that can be used collaboratively. Without integration into an established SDK, their benefits remain limited to the original teams. The project addresses precisely this lack of an interface between research code and application-oriented software infrastructure.

For the DLR QCI ecosystem, this means three things: Firstly, the SDK is expanding its portfolio to include tried-and-tested hybrid optimisation algorithms with specific use cases. Secondly, the comprehensive documentation and benchmark results provide a blueprint for the community to integrate further algorithms and applications. Thirdly, the concluding hackathon enables open further development by external partners. In this way, individual project outcomes are transformed into a sustainable, shared infrastructure.

Challenge

The crux of the matter: Hybrid algorithms from Attraqt’em/QMPC have been validated, but as project-specific code they are difficult to use and compare. The gap lies in their integration into a common, platform-independent SDK. We provide algorithms, use cases, tests and benchmarks; DLR and industry partners supply the fundamentals and validation. The DLR QCI provides the SDK, hardware, standards and community to ensure that the modules can be used reproducibly, are extensible and serve as a blueprint for quantum optimisation applications.

Impact

Hybrid optimisation algorithms from DLR projects have been validated but are not available for shared use. The project integrates them as standardised modules into the QCI Connect SDK, thereby creating a platform-independent, reusable foundation. DLR QCI is thus expanding its portfolio, establishing tried-and-tested integration patterns as blueprints and making its community infrastructure available to third parties. This will strengthen Germany’s and Europe’s independent quantum software landscape, industry access and sovereignty.