TY  - EJOUR
AU  - Ansari, Mohammad
AU  - Pazem, Josephine
TI  - Error mitigation of entangled states using brainbox quantum autoencoders
M1  - FZJ-2024-06937
PY  - 2023
AB  - 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.
LB  - PUB:(DE-HGF)25
UR  - https://juser.fz-juelich.de/record/1034121
ER  -