Bulletin of the American Physical Society
APS March Meeting 2022
Volume 67, Number 3
Monday–Friday, March 14–18, 2022; Chicago
Session Z36: Noise Reduction and Error Mitigation in Quantum Computing IV
11:30 AM–2:06 PM,
Friday, March 18, 2022
Room: McCormick Place W-194A
Sponsoring
Unit:
DQI
Chair: Changchun Zhong, University of Chicago
Abstract: Z36.00012 : Improving the resilience of quantum denoising process*
1:42 PM–1:54 PM
Presenter:
Joséphine Pazem
(IQI, RWTH Aachen University and PGI, Forschungszentrum Jülich, Germany)
Authors:
Joséphine Pazem
(IQI, RWTH Aachen University and PGI, Forschungszentrum Jülich, Germany)
Mohammad H Ansari
(PGI, Forschungszentrum Jülich and IQI, RWTH Aachen University, Germany)
In this talk I describe an inexpensive change in the network topology that can be extendable to all scales and can improve the tolerance significantly. This has a side advantage that it can provide even higher fidelity values for successful training. It indeed helps the encoder by reducing the dimension of the decision boundary between perfect and noisy states. Such a simplification of the classification task relies heavily on quantum properties of the neural units. We show that Renyi entropy associated with a small partition of the network undergoes a second order phase transition when training fails, and this can serve as a good measure to distinguish between failure and success in denoising process.
[1] D. Bondarenko and P. Feldmann, “Quantum autoencoders to denoise quantum data”, Phys. Rev. Lett., vol. 124, no. 13, p. 130502, 2020.
*We thank the DAAD for its financial support.
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