Quantum bioinformatics is an interdisciplinary field of research that combines quantum mechanics and bioinformatics to analyze and understand biological systems and data in new ways. It leverages the principles of quantum mechanics, such as superposition, entanglement, and quantum computations, to study complex biological processes, genetic sequences, and biomolecular interactions.

Quantum algorithms can accelerate the analysis of DNA, RNA, or protein sequences and enable more efficient compression and processing of large biological datasets. Many bioinformatics tasks can be formulated as optimization problems, which could be solved more quickly through quantum computing.

Quantum bioinformatics is an emerging field with the potential to revolutionize existing paradigms in biology and medicine, but it is still in the early stages of its development.


Head of the working group
PD Dr. Sarah Sandmann

• Optimization of 4C-seq data analysis