SOURCE-LINKED INTELLIGENCE
The first utility-oriented, agnostic software platform for quantum-centric drug discovery
aser, the first platform-agnostic, explainable, customer-centric quantum software tool, to be operated by the end-user. With EIC funding, we will develop advanced algorithms for quantum chemistry and machine learning that will solve real-life drug R&D problems beyond the scope of classical resources. Kvaser will empower R&D scientists to run molecular and biochemical simulations on modern hardware with unmatched speed and accuracy, enabling high precision quantum chemistry calculations for efficient and accelerated drug discovery. Drug discovery,Computer sciences,Algorithms and complexity,Quantum computing,Big data,Life sciences R&D,Pharmaceutical R&D,Machine learning,Digital services
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2499999
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.