University research in quantum computing assists the study of genetic diseases
With the human genome consisting of over 6.4 billion base pairs, quantum computing may prove to be an efficient way to process genetic data. Stephan Bekiranov, computational biologist and associate professor, has developed an algorithm that utilizes a quantum computer in order to study genetic diseases. This algorithm was designed to introduce efficiencies in the computations by reducing the number of calculations performed in an operation. This breakthrough opens up possibilities for researchers in the medical and genetics field to crunch data in a more faster and efficient manner, paving the way for more medical breakthroughs to be made.