Sustainable Quantum Bioinformatics

Masanari Asano, Irina Basieva, Andrei Yu. Khrennikov +1 more

John A. Sidles

Luigi Accardi, Wolfgang Freudenberg, Masanori Ohya

Sidra Patel, Purvesh Kolpe, Anushka Singh +3 more

This review explores the transformative potential of three rapidly advancing technological domains—quantum computing (QC), space technology, and bioinformatics. These fields are not only revolutionizing their respective areas of application but are also fostering interdisciplinary collaborations that are reshaping the future of science and technology. The paper discusses the fundamental principles, recent advancements, emerging trends, and practical applications of each discipline while highlighting their individual and collective contributions to scientific progress, industrial development, and societal well-being. By examining both the unique developments and the synergistic interactions among these emerging technologies, this paper highlights their collective role in shaping the future of human progress. The integration of quantum computing, space technology, and bioinformatics is expected to drive the next wave of scientific discovery and technological innovation, laying the foundation for a more advanced and sustainable future.

Luigi Accardi, Wolfgang Freudenberg, Masanori Ohya

Majid Mokhtari, Samane Khoshbakht, Kobra Ziyaei +2 more

Bioinformatics has revolutionized biology and medicine by using computational methods to analyze and interpret biological data. Quantum mechanics has recently emerged as a promising tool for the analysis of biological systems, leading to the development of quantum bioinformatics. This new field employs the principles of quantum mechanics, quantum algorithms, and quantum computing to solve complex problems in molecular biology, drug design, and protein folding. However, the intersection of bioinformatics, biology, and quantum mechanics presents unique challenges. One significant challenge is the possibility of confusion among scientists between quantum bioinformatics and quantum biology, which have similar goals and concepts. Additionally, the diverse calculations in each field make it difficult to establish boundaries and identify purely quantum effects from other factors that may affect biological processes. This review provides an overview of the concepts of quantum biology and quantum mechanics and their intersection in quantum bioinformatics. We examine the challenges and unique features of this field and propose a classification of quantum bioinformatics to promote interdisciplinary collaboration and accelerate progress. By unlocking the full potential of quantum bioinformatics, this review aims to contribute to our understanding of quantum mechanics in biological systems.