Google Quantum Algorithm

Several reports suggest that in the past three years (article written in 2009) Google has developed a quantum algorithm that is capable of automatically recognizing and sorting objects from videos or still images. This has been achieved by using physics that exists at the subatomic level. Several research teams have been working on the development of quantum processors that can store data as quantum bits. These qbits represent both the 0 and 1 that are used in the binary computer language simultaneously. That dual possibility state allows for much more efficient processing and information storage. To consider an example given by Google, an average computer requires 500,000 peeks to find a particular object hidden in one of a million drawers on an average. But such a quantum computer could locate the position the ball by just peeking into 1000 out of the million drawers.