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