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Use the Quantum Approximate Optimization Algorithm (QAOA) to solve the graph partitioning problem You can access the dataset used in this post on Kaggle under the Attribution 3.0 Unported (CC BY 3.0) license. Suppose you have a computation-intensive task. For instance, you aim to train the GPT-3 from scratch. But you don't want to wait a few hundred years for the training to be complete. To speed things up, you have to parallelize all the required computations.
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