"Our image-matching demonstration, the core of which is too difficult for traditional computers, can automatically extract information from photos--recognizing whether photos contain people, places or things, and then categorize them by visual similarity" said Geordie Rose, D-Wave founder and CEO.

Last year, Google acquired Neven Vision for its expertise in recognizing similarities among photos--the simplest task being detecting whether or not a photo contains a person, and the most complex of which would enable accurate classification of images by person, place, and thing. Unfortunately, even after crafting the algorithms so that they sidestep the most difficult image-recognition problems, they were still too slow to be deployed by Google.

"We have been collaborating with Hartmut Neven, founder of the image-recognition company, Neven Vision, just after Google acquired it last year," said Rose. "Neven's original algorithms had to make many compromises on how it did things--since ordinary computers can't do things the way the brain does. But we believe that our quantum computer algorithms are not all that different from the way the brain solves image-matching problems, so we were able to simplify Neven's algorithms and get superior results."

The current demonstration hardware crafted by D-Wave houses 28-qbits, compared with only 16-qbits in its original quantum computer. For the demonstration, the D-Wave quantum computer analyzes a 300-image data base, cataloging the similarities among photos. The results of that comparison are then displayed on a two-dimensional grid, where similar objects are grouped together.

The current quantum computer--dubbed Orion-- is fabricated out of the superconducting metal niobium using conventional lithography. After super-cooling it to near absolute zero, the qbits are able to maintain their quantum state throughout a calculation. Next, D-Wave plans to up the ante to a 512-qbit quantum computer that will be able to tackle giant image databases and other difficult combinatorial problems.

"We hope to have our commercial architecture ready by mid-2008," said Rose. "It will house enough qbits to begin solving mathematical problems that are intractable today. D-Wave's current prototypes are not amenable to scaling up to hundred of qbits, but with the knowledge we've gained over the last year, we feel that the last remaining technical obstacles to life-size quantum computers have been removed."