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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Vydané v:	2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD) s. 1 - 9
Hlavní autori:	Wang, Hanrui, Liang, Zhiding, Gu, Jiaqi, Li, Zirui, Ding, Yongshan, Jiang, Weiwen, Shi, Yiyu, Pan, David Z., Chong, Frederic T., Han, Song
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	ACM 29.10.2022
Predmet:	Costs Libraries Machine learning Prediction algorithms Predictive models Quantum system Transformers
ISSN:	1558-2434
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