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D-Wave announces a faster “quantum computer”

by on29 September 2016


Doubles the number of qubits without increasing the number of cats

D-Wave Systems, which claims to make the world’s first quantum computer, today announced details of its most advanced quantum computing system, featuring a new 2000-qubit processor and no extra potentually dead or alive cats.

The new processor doubles the number of qubits over the previous generation D-Wave 2X system, enabling larger problems to be solved. The new system also introduces control features that allow users to tune the quantum computational process to solve problems faster.

It is a moot point if the D-Wave actually makes a try quantum computer but it is rather interesting technology. D-Wave’s quantum system runs a quantum annealing algorithm to find the lowest points in a virtual energy landscape representing a computational problem to be solved.

The lowest points in the landscape correspond to optimal or near-optimal solutions to the problem. The increase in qubit count enables larger and more difficult problems to be solved. The new control features enable the system to find the lowest points more efficiently.

According to the company it can tune the rate of annealing of individual qubits to enhance application performance, sample the state of the quantum computer during the quantum annealing process to power hybrid quantum-classical machine learning algorithms and combine quantum processing with classical processing to improve the quality of both optimization and sampling results returned from the system.

Jeremy Hilton, senior vice president, Systems at D-Wave said: “As the only company to have developed and commercialized a scalable quantum computer, we’re continuing our record of rapid increases in the power of our systems, now up to 2000 qubits. Our growing user base provides real world experience that helps us design features and capabilities that provide quantifiable benefits. A good example of this is giving users the ability to tune the quantum algorithm to improve application performance."

 

 

Last modified on 29 September 2016
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