SOURCE-LINKED INTELLIGENCE
Quantum Virtual Ecosystem for a unified Runtime for agnostic Software Engineering
cosystem for a unified Runtime for agnostic Software Engineering 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
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 4999637.5
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.