A major research and innovation initiative
The central idea behind the Q-GEN project is the quantum-based modeling and application of biological phenomena.
“The project combines DNA, the fundamental code of life, with quantum computing, which utilizes the quantum mechanical behavior of nature to perform computations. This combination opens up new possibilities for the analysis of biological data as well as for DNA applications and breeding. For example, bioinformatics is a highly promising application area for quantum computing, whose methods and computational power are developing rapidly worldwide,” says Professor Ilkka Tittonen of Aalto University.
Quantum computing can solve problems that are too complex for current computational methods.
“Biological and, in particular, genomic data is accumulating at an unprecedented rate, but it is so complex that we are not yet able to fully utilize it. Breakthroughs do not come from the amount of data, but from how it can be interpreted. With quantum computing, we can approach biological problems in a completely new way,” says project coordinator and research manager Sirja Viitala from Luke.
Q-GEN builds a strategic advantage for Finland by combining two national strengths: quantum technology and the life sciences. At the same time, it supports Finland’s quantum strategy and the EU’s bioeconomy strategy, while strengthening Europe’s competitiveness.
First breakthroughs in the coming years?
Quantum computing can be utilized, for example, in the design of bio-based materials, the development of industrial enzymes, bioinformatics, and genomic breeding.
Q-GEN builds direct pathways from research to commercial solutions. In addition to research organizations, the project involves extensive collaboration with companies to advance research and the testing of practical applications. At the same time, expertise is being built that combines quantum science, biology, and data-driven innovation development.
In the project, Luke is examining how quantum computing could enhance genomic breeding. Quantum methods can enable more detailed modeling of genetic interactions, which speeds up breeding decisions and supports the development of more sustainable and productive traits.
“Genomic breeding is based on our ability to utilize genomic data and understand biological complexity. With quantum computing, we can process significantly large datasets and potentially model genetic interactions in greater detail. This can significantly accelerate breeding and open up opportunities to develop even more sustainable and productive solutions in the bioeconomy,” explains Sirja Viitala from Luke.
A responsible and ethical technological transformation builds a more sustainable future
Combining quantum computing and biotechnology offers new ways to address the major challenges of our time, such as climate change, the sustainable use of natural resources, and improving food security.
The project takes into account the societal impacts of technology by integrating ethical, legal, and societal perspectives into research and innovation. The goal is to ensure that the resulting solutions are not only technologically advanced but also safe, acceptable, and supportive of the transition toward a sustainable bioeconomy.
"Responsible and trustworthy research and innovation require continuous multidisciplinary dialogue both within the consortium and between the consortium and different sectors of society. It is important to speak openly about the limits and possibilities of technology in order to avoid unfounded expectations and unnecessary fears. Together, we examine the space of justification and explain to ourselves and others what we do and why,” say Pekka Mäkelä (HSSH, University of Helsinki) and Raul Hakli (Practical Philosophy, University of Helsinki), describing the work of their work package.