Quantum Computing Applications in Molecular Farming Research
Abstract
Molecular farming represents a revolutionary approach to producing pharmaceuticals, vaccines, and industrial proteins using plants and plant cell cultures as biofactories. The integration of quantum computing into molecular farming research promises to address computational bottlenecks in protein engineering, metabolic pathway optimization, and crop improvement. This paper explores the emerging applications of quantum computing in molecular farming, examining how quantum algorithms can accelerate drug discovery, optimize protein folding predictions, and enhance synthetic biology approaches. We discuss the current state of quantum computing technologies, their specific applications in plant-based biomanufacturing, and the challenges that must be overcome for widespread implementation. The convergence of quantum computing and molecular farming has the potential to transform biopharmaceutical production, offering more efficient, cost-effective, and environmentally sustainable alternatives to traditional manufacturing methods.
How to Cite This Article
Dr. Thomas Joseph Martinez, Liu Wenbo, Rebecca William Keller (2025). Quantum Computing Applications in Molecular Farming Research . Journal of Agricultural Digitalization Research (JADR), 6(1), 59-62. DOI: https://doi.org/10.54660/JADR.2025.6.1.59-62