A fault-tolerant quantum computation requires an efficient means to detect and correct errors that accumulate in encoded quantum information. In the context of machine learning. neural networks are a promising new approach to quantum error correction. Here we show that a recurrent neural network can be trained. https://yeswellneses.shop/product-category/thickeners/
Machine-learning-assisted correction of correlated qubit errors in a topological code
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