Finland is launching Q-GEN, an internationally unique research and innovation project that combines quantum computing and the life sciences. In the future, quantum computing could enable, for example, the development of new types of biomaterials and industrial enzymes, and more precise and efficient methods of genomic breeding. The project is building a bioeconomy that utilizes biological data with unprecedented precision, ethically and safely.
The Q-GEN project, funded by Business Finland, is led by the Natural Resources Institute Finland (Luke). Partners include Aalto University, VTT, and the University of Helsinki.
A major research and innovation initiative
The central idea behind the Q-GEN project is to use quantum computing for studying 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 new possibilities for analyzing biological data for breeding. For example, bioinformatics is a highly promising application area for quantum computing, where the 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 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 to develop practical applications. The project builds expertise that combines quantum science, biology, and data-driven innovation development.
In the project, VTT studies how quantum computing could enhance the development of enzymes and biomaterials. The structure and properties of enzymes and biomaterials can be tailored, and quantum computing can accelerate the development of new, more efficient and sustainable solutions.
“By combining quantum computing with artificial intelligence, our goal is to process larger datasets than previously possible and to develop materials with predictable and controllable properties. This will help us accelerate materials development and create increasingly productive and sustainable solutions for the bioeconomy,” says Mikko Mäkelä, Research Professor at VTT.
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.
For more information
Mikko Mäkelä, Research Professor, VTT, [email protected], +358 50 598 0361
Sirja Viitala, project coordinator and research manager, [email protected], +358 29 532 6636
Ilkka Tittonen, [email protected], +358 40 543 7564
Quantum computing is a method of computation in which data processing is based on phenomena in quantum mechanics rather than the bit logic of traditional computers.
In a conventional computer, data is represented as bits, which exist in either a 0 or a 1 state. A quantum computer uses qubits, which can exist simultaneously in combinations of the 0 and 1 states. This is called superposition. Furthermore, the states of two or more qubits can be entangled in a way that cannot be explained classically. In the study of correlations between genes or biomarkers, this property is expected to prove extremely useful.
During computation, quantum states can be amplified or suppressed so that correct answers emerge with greater probability. A quantum computer does not, therefore, “try all options at once” in a straightforward manner, but rather utilizes quantum mechanics in ways that, for certain problems, can be far more efficient than classical algorithms.
