Research evidence presented to the World Association of Physicists in the year 2025 indicates that the use of DNA in computing is no longer just theory, but is moving towards practical applications in biotechnology and data processing.
Bio-Quantum Algorithms: Researchers are developing algorithms that use quantum computing to analyze genetic variations faster than traditional systems, enabling personalized medicine and rapid identification of drug-resistant bacteria.
DNA Computing Paradigms: DNA, with its high-density data storage capacity (roughly 1,000 laptops’ worth of data can be stored in the size of a pencil eraser), is used for DNA-based computing and storage. This approach uses molecular biology tools (like enzymes) rather than traditional electronic circuits to execute computational operations.
Quantum Modeling of DNA: Recent studies suggest DNA acts as a natural “quantum computer” due to its complex, multi-scale structure and aromaticity, with electron/hole pairing that can be described through quantum informatics.
DNA-Binding and Transcription: Quantum machine learning is being tested to predict the specific binding sites of transcription factors on DNA, which helps in understanding gene expression.
Applications in Medicine: The convergence of DNA sequencing and quantum technology allows researchers to simulate complex molecular interactions, revolutionizing drug discovery and disease treatment planning.