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| Home > Publications database > Error mitigation of entangled states using brainbox quantum autoencoders |
| Preprint | FZJ-2024-06937 |
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2023
Abstract: Current quantum hardware is subject to various sources of noise that limits the access to multi-qubit entangled states. Quantum autoencoder circuits with a single qubit bottleneck have showncapability to correct error in noisy entangled state. By introducing slightly more complex structuresin the bottleneck, the so-called brainboxes, the denoising process can take place faster and forstronger noise channels. Choosing the most suitable brainbox for the bottleneck is the result of atrade-off between noise intensity on the hardware, and the training impedance. Finally, by studyingRényi entropy flow throughout the networks we demonstrate that the localization of entanglementplays a central role in denoising through learning.
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