Quantum bioinformatics: a systematic review of methods, trends, and challenges.

Quantum bioinformatics shows promise in tackling complex biological data problems, with 10 key domains revealing emerging trends and methodological patterns.

• Why it matters: As biological data grows in scale and complexity, classical computational methods struggle to keep pace, creating a critical need for innovative approaches like quantum computing.
• What they did: The review systematically analyzes studies across multiple bioinformatics fields, focusing on quantum and hybrid quantum-classical methods, problem encoding, and device constraints such as noise and scalability, covering 10 domains.
• The result: Findings highlight current limitations, including noise and scalability issues, and outline future research directions, advancing the potential of quantum approaches to revolutionize biological data analysis.