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.
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