“Advancing the machine to 28 qubits in such a short space of time lends credibility to our claim of having a scaleable architecture,” stated Herb Martin, D-Wave’s CEO. “Our product roadmap takes us to 512 qubits in the second quarter of 2008 and 1024 qubits by the end of that year. At this point we will see applications performance far superior to that available on classical digital machines.
D-Wave will demonstrate an image matching application developed with a third party collaborator. Company personnel will be available to discuss other applications involving pattern matching, constrained search and optimization, according to Martin.
D-Wave plans to deploy the machine, code named “Orion”, in the last quarter of 2008 using an on-line service model and providing support for applications involving pattern matching, constrained search and optimization.
D-Wave claims that in June 2009 the on-line quantum computing service will be available for “Monte Carlo” simulation targeted at pricing and risk analysis in the Banking and Insurance community. This will be followed by a quantum simulation capability for chemical, material and life science applications. Users of the on-line service will come from government, military, academia, research, engineering, life sciences and the manufacturing, banking and insurance, according to Martin. “Today, many applications take inordinate amounts of time to develop solutions and accuracy is often sacrificed for timeliness. Our on-line service will provide a cost effective means to improve these applications so that more accurate solutions can be obtained in a significantly shorter time period. In addition, some potential applications are never undertaken because of the limits inherent in digital computing. D-Wave will open up satisfactory solutions to these so called intractable problems,” said Martin.
The company recently initiated a program to share some of its experimental results with scientists at chosen institutions. D-Wave’s Dr. Mohammad Amin is leading this program with presentations during the next month at MIT, NRC and the Quantum Information Centre.
EEtimes discusses Dwave’s collaboration with Google’s expert on its forthcoming search-by-image capability–acquired by Google last year when it bought Neven Vision–D-Wave Systems Inc. (Vancouver, B.C.) will demonstrate how quantum computers can perform Neven-based image-recognition tasks at speeds rivaling those of humans.
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.”
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.
“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.”
D-Wave has not had its system externally validated, said Rose, because “there is only one meaningful measure of validation for a technology like this: does it outperform the systems people are using today in a metric that they care about? We are getting very close to achieving this objective.”
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Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
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