Error mitigation of entangled states using brainbox quantum autoencoders

arXiv (Cornell University)

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 shown capability to correct error in noisy entangled state. By introducing slightly more complex structures in the bottleneck, the so-called brainboxes, the denoising process can take place faster and for stronger noise channels. Choosing the most suitable brainbox for the bottleneck is the result of a trade-off between noise intensity on the hardware, and the training impedance. Finally, by studying Rényi entropy flow throughout the networks we demonstrate that the localization of entanglement plays a central role in denoising through learning.

Authors 2

1. Joséphine Pazem

   Forschungszentrum Jülich

   Affiliation as printed

   Peter Grünberg Institute , Forschungszentrum Jülich , Jülich 52428 , Germany and Institute for Quantum Information ,

2. Mohammad H. Ansari Aachen

   RWTH Aachen University · Forschungszentrum Jülich · Ernst Ruska Centre

   Affiliation as printed

   Peter Grünberg Institute , Forschungszentrum Jülich , Jülich 52428 , Germany

   RWTH Aachen University , D-52056 Aachen , Germany