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Kvantify and Danish Universities Launch DKK 17.4M ($2.7M USD) Quantum Software Project

Quantum Computing Report
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⚡ Quantum Brief
A DKK 17.4M ($2.7M USD) quantum software project, ODAQS, launches in Denmark, funded by Innovation Fund Denmark. It unites Kvantify with Aarhus and Aalborg Universities to develop a hardware-agnostic quantum software stack for pharmaceutical research. The three-year initiative (2026–2029) aims to eliminate technical barriers by automating quantum program generation, allowing researchers to bypass hardware-specific limitations. Reinforcement learning will optimize program configurations for current quantum machines. Led by Professor Jaco van de Pol, the project integrates programming languages, verification, and compilation to enable complex quantum chemistry calculations without deep hardware expertise, accelerating drug discovery pipelines. Kvantify will commercialize the academic research, creating industry-ready tools to reduce early-stage drug screening costs and time. The focus is on quantum chemistry applications for life sciences. The project strengthens Denmark’s quantum ecosystem, bridging experimental research and industrial adoption in pharmaceuticals, positioning the country as a leader in practical quantum software solutions.
Kvantify and Danish Universities Launch DKK 17.4M ($2.7M USD) Quantum Software Project

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Kvantify and Danish Universities Launch DKK 17.4M ($2.7M USD) Quantum Software Project Innovation Fund Denmark has awarded DKK 17.4 million ($2.7 million USD) to the Optimal Design Automation towards a Performant Quantum Software Stack (ODAQS) project. The collaboration brings together Kvantify, Aarhus University, and Aalborg University to develop a software stack that simplifies the use of quantum hardware for pharmaceutical research. Running from 2026 to 2029, the initiative intends to remove technical barriers that currently require researchers to account for the specific limitations of individual quantum machines. Technically, the ODAQS project focuses on the automation and optimization of quantum program generation. Led by Professor Jaco van de Pol, the team will utilize reinforcement learning to allow the software to autonomously identify efficient program configurations, thereby maximizing the utility of current-generation quantum hardware. The research integrates programming languages, software verification, and optimized compilation to create a hardware-agnostic environment where researchers can execute complex calculations without deep hardware expertise. The primary application for this software stack is quantum chemistry within the drug discovery pipeline. By improving the efficiency of molecular calculations, the partners aim to reduce the time and costs associated with the early-stage screening of drug candidates. Kvantify will serve as the industrial partner, translating these academic research results into reliable, industry-ready technologies. The project is designed to provide a foundational toolset for the Danish quantum ecosystem, specifically targeting the transition of quantum computing from experimental research to industrial life science applications. For more details on the ODAQS project and its partners, consult the official Kvantify news release here and the Aarhus University announcement here. March 6, 2026 Mohamed Abdel-Kareem2026-03-05T17:11:57-08:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.

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trapped-ion
drug-discovery
quantum-chemistry
quantum-ecosystem
quantum-computing
quantum-hardware
quantum-software
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Source: Quantum Computing Report