Learning Shallow Quantum Circuits-Reference-Cited by-同舟云学术

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Learning Shallow Quantum Circuits

Published:2024-06-10 Issue: Volume: Page:1343-1351
ISSN:
Container-title:Proceedings of the 56th Annual ACM Symposium on Theory of Computing
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Author:

Huang Hsin-Yuan¹^ORCID,Liu Yunchao²^ORCID,Broughton Michael³^ORCID,Kim Isaac⁴^ORCID,Anshu Anurag⁵^ORCID,Landau Zeph²^ORCID,McClean Jarrod R.⁶^ORCID

Affiliation:

1. California Institute of Technology, Pasadena, USA / Google Quantum AI, Venice, USA

2. University of California, Berkeley, USA

3. Google Quantum AI, Santa Barbara, USA

4. University of California, Davis, USA

5. Harvard University, Cambridge, USA

6. Google Quantum AI, Venice, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3618260.3649722

Reference98 articles.

1. Shadow Tomography of Quantum States

2. Improved simulation of stabilizer circuits

3. The power of quantum neural networks

4. Quantum variational algorithms are swamped with traps

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