TorchQuantum Case Study for Robust Quantum Circuits (Invited Paper)

Quantum Computing has attracted much research attention because of its potential to achieve fundamental speed and efficiency improvements in various domains. Among different quantum algorithms, Parameterized Quantum Circuits (PQC) for Quantum Machine Learning (QML) show promises to realize quantum a...

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Bibliographic Details

Published in:	2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD) pp. 1 - 9
Main Authors:	Wang, Hanrui, Liang, Zhiding, Gu, Jiaqi, Li, Zirui, Ding, Yongshan, Jiang, Weiwen, Shi, Yiyu, Pan, David Z., Chong, Frederic T., Han, Song
Format:	Conference Proceeding
Language:	English
Published:	ACM 29.10.2022
Subjects:	Costs Libraries Machine learning Prediction algorithms Predictive models Quantum system Transformers
ISSN:	1558-2434
Online Access:	Get full text
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