The code of life and quantum computing come together - A groundbreaking project paves the way for the next breakthrough in the bioeconomy
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, as well as 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 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.
What is quantum computing?
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.
