Optimizing Quantum Federated Learning Based on Federated Quantum Natural Gradient Descent-Reference-Cited by-同舟云学术

Optimizing Quantum Federated Learning Based on Federated Quantum Natural Gradient Descent

Published:2023-06-04 Issue: Volume: Page:
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Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Qi Jun¹,Zhang Xiao-Lei²,Tejedor Javier³

Affiliation:

1. Fudan University,Electronic Engineering,Shanghai,China

2. Northwestern Polytechnical University,Marine Science and Technology,Xian,China

3. Universidad San Pablo-CEU, CEU Universities, Urb. Montepríncipe,Institute of Technology,Madrid,Spain

Publisher

IEEE

Link

Reference38 articles.

5. QTN-VQC: An End-to-End Learning Framework for Quantum Neural Networks;qi;NeurIPS 2021 Workshop on Quantum Tensor Networks in Machine Learning,2022

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