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NASA-Google AI lab gets super quantum computer

Google and NASA have announced the installation of a new state-of-the-art quantum computer at their Quantum Artificial Intelligence Lab (QuAIL) that will solve some "impossible" calculations for them.

NASA-Google AI lab gets super quantum computer

New York: Google and NASA have announced the installation of a new state-of-the-art quantum computer at their Quantum Artificial Intelligence Lab (QuAIL) that will solve some "impossible" calculations for them.

A joint project between Google, NASA and the Universities Space Research Association, QuAIL is the hub for an experiment to assess the potential of quantum computers to perform calculations that are difficult or impossible using conventional supercomputers.

Beginning with the "D-Wave Two" quantum computer, NASA`s QuAIL team is evaluating various quantum computing approaches to help address challenges faced by the US space agency.

Initial work focuses on theoretical and empirical analysis of quantum annealing approaches to difficult optimisation problems.

Quantum annealing is a quantum-mechanical paradigm to solve combinatorial optimisation problems.

"Working with the D-Wave processors has helped us develop and fine-tune models of quantum annealing," Google`s Hartmut Neven, head of the Quantum Artificial Intelligence Lab, said in a statement.

"We look forward to the continued advancements coming from each generation of D-Wave systems," he added.

According to NASA, the research team is also studying how the effects of noise, imprecision in the quantum annealing parameters, and thermal processes affect the efficacy and robustness of quantum annealing approaches to these problems.

Over the next five years, the team will also develop quantum AI algorithms, problem decomposition and hardware embedding techniques, and quantum-classical hybrid algorithms.

"The hope is that quantum computing will vastly improve a wide range of tasks that can lead to new discoveries and technologies, and which may significantly change the way we solve real-world problems," NASA added.

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