A new study has revealed that a natural evolutionary strategy can be used to boost the performance of quantum machines. The research, conducted by scientists at the University of California, Riverside (UCR), demonstrates that a simple evolutionary algorithm can be used to optimize the performance of quantum computers. The algorithm, called “Natural Evolutionary Strategies” (NES), mimics the process of natural selection, allowing quantum computers to learn from their mistakes and improve their performance. The results of the study suggest that this evolutionary approach could be used to solve many of the challenges facing quantum computing, such as finding the best possible solutions to complex problems.

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source: Phys.org