Machine-learning-assisted correction of correlated qubit errors in a topological code
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2018-01-01
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| Series: | Quantum |
| Online Access: | https://quantum-journal.org/q-2018-01-29-48/pdf/ |