Q-VERSE

Q-VERSE will focus on a wide spectrum of algorithmic approaches, directly and indirectly related to quantum computing. Namely, Quantum Machine Learning (QML) and Quantum Optimization, where Q-VERSE will integrate tools for robust quantum software validation, realistic simulation under noise, and adaptive test case assessment. By embedding noise characterization, transfer learning techniques, and support for multiple real-world noise models, Q-VERSE will bridge the gap between idealized simulation environments and noisy quantum hardware, thus enabling scalable, trustworthy, and platform-agnostic quantum software development.

Next, Q-VERSE will translate the developed enablers and modules in cross-platform, technology-agnostic open quantum standard. The project will build the necessary interfaces and building blocks to support, OpenQASM which serves as the universal quantum assembly language, and Quantum Intermediate Representation (QIR) which provides LLVM-based compilation targets that support classical control flow and hardware-agnostic program representation. Q-VERSE’s goal is to create a universal intermediate representation (IR) that can compile to multiple quantum assembly languages (QASM variants, Quil, QIR) and implement dynamic backend capability discovery allowing runtime detection of hardware features, gate sets, and connectivity constraints. All these will be supported from a standardized API, which, in its first stages, will support RESTful, gRPC APIs for quantum job submission that align with emerging industry standards, with the necessary Eclipse Qrisp SDK bindings. The SDK will also support the connection with quantum annealing-based algorithms.

Field	Value
Grant Agreement ID	101293734
Funding Organization	European Commission
Funding Programme	HORIZON-CL4-2025-03
Topic	HORIZON-CL4-2025-03-DIGITAL-EMERGING-02
Total Budget	4.999.637,50 EUR
K3Y Budget	206.250,00 EUR
Link	Project Link in EU Funding & Tenders Portal