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A Cryogenic Memristive Neural Decoder for Fault-tolerant Quantum Error Correction
Neural decoders for quantum error correction (QEC) rely on neural networks to classify syndromes extracted from error correction codes and find appropriate recovery operators to protect logical information against errors.
Learning quantum symmetries with interactive quantum-classical variational algorithms
A symmetry of a state $\vert \psi \rangle$ is a unitary operator of which $\vert \psi \rangle$ is an eigenvector.
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