D-Wave’s quantum computer leverages quantum dynamics to accelerate and enable new methods for solving discrete optimization, sampling, material science, and machine learning problems. It uses a process called quantum annealing that harnesses the natural tendency of real-world quantum systems to find low-energy states. If an optimization problem, for example, is analogous to a landscape of peaks and valleys, each coordinate represents a possible solution and its elevation represents its energy. The best solution is that with the lowest energy corresponding to the lowest point in the deepest valley in the landscape.
Real more on quantum annealing.
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