Accelerating Dna Fragments Assembly With Quantum Computing

Rapid advances in DNA sequencing have converted genomics and made large strides in our expertise in genetic records and the way it pertain to evolution, health, and illness. DNA fragment meeting is the method of reassembling the small, fragmented reads that might be produced by using DNA sequencing to rebuild the authentic genome. DNA fragment meeting is a primary computational issue, especially for huge genomes, due to the full-size extent of statistics and the intrinsic complexity of correctly assembling genomes. The want for innovative solutions is highlighted by using the truth that traditional computational techniques, such as graph-primarily based totally and heuristic approaches, are resource-intensive, have scaling problems, and can be erroneous in complex genome regions. Because of its exquisite capability to do positive computations at formerly unheard-of quotes and efficiently manipulate hard optimization issues, quantum computing has simply come to mild as a likely road for overcoming those computational barriers. In computationally annoying responsibilities like combinatorial optimization and large-scale statistics processing, quantum algorithms just like the Quantum Approximate Optimization Algorithm (QAOA) and Grover`s set of rules for search optimization have verified the capacity to carry out higher than classical approaches. DNA fragments meeting with quantum computing have the potential to boost accuracy and performance even as additionally develop new possibilities for large-scale genomic study. The essential thoughts of quantum computing, current tendencies in quantum-primarily based totally algorithms and their relevance to the meeting system are all included in this chapter, which investigates the capability of quantum computing as an innovative device for DNA fragment assembly. This chapter intends to explore on how quantum strategies would possibly enhance the precision and effectiveness of DNA assembly, starting the door for brand new tendencies inside the subject of genomics with the aid of using reading the capability and constraints of quantum computing for genomics. © 2026 Bipin Kumar Rai, Rupa Rani, and Gautam Kumar