This special session is part of CIBB 2026 – 21st International
Conference on Computational Intelligence Methods for
Bioinformatics and Biostatistics, Sapienza University of Rome,
September 2-4, 2026.
The session explores the emerging intersection between Quantum
Artificial Intelligence (QAI) and Bioinformatics/Biostatistics.
High-dimensional biological data – spanning genomics,
transcriptomics, proteomics, single-cell sequencing, and
molecular interaction networks – poses computational challenges
that often exceed the scalability of classical methods. Quantum
computing offers alternative paradigms for optimization,
sampling, and kernel-based models central to modern
bioinformatics pipelines.
Topics include:
– Quantum and quantum-inspired learning for sequence and
phylogenetic analysis
– Graph-based representations and quantum kernels
– Biomolecular structure modeling
– Clustering and classification of omics data
– Combinatorial optimization in molecular design
– Hybrid quantum-classical workflows for NISQ devices
– Noise-resilient algorithms and benchmarking
Organizers: Roberto Schiattarella, Autilia Vitiello,
Giovanni Acampora
Proceedings: Springer Lecture Notes in Bioinformatics (LNBI)
Conference website: https://cibb2026.teralab.ai