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Since genetic information is vast and often on the scale of billions of bits, the time taken to process data by his algorithm is exponentially reduced.

University research in quantum computing assists the study of genetic diseases

With the human genome being over 6.4 billion base pairs, quantum computing may prove to be an efficient way to process genetic data. Dr. Stephan Bekiranov — a computational biologist at U.Va. — 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.


Tech to "watch" out for

If you spend any time watching television, chances are you’ve seen the new Samsung Galaxy Gear commercial at least a hundred times — the montage of movie and TV show clips of spies, robots and futuristic personalities talking into devices on their wrists.