Expressivity of Variational Quantum Machine Learning on the Boolean Cube-Reference-Cited by-同舟云学术

Expressivity of Variational Quantum Machine Learning on the Boolean Cube

Published:2023 Issue: Volume:4 Page:1-18
ISSN:2689-1808
Container-title:IEEE Transactions on Quantum Engineering
language:
Short-container-title:IEEE Trans. Quantum Eng.

Author:

Herman Dylan¹^ORCID,Raymond Rudy²^ORCID,Li Muyuan³,Robles Nicolas³,Mezzacapo Antonio³,Pistoia Marco¹^ORCID

Affiliation:

1. Global Technology Applied Research, JPMorgan Chase, New York, NY, USA

2. IBM Quantum, IBM Research - Tokyo, Tokyo, Japan

3. IBM Quantum, IBM T. J. Watson Research Center, Yorktown Heights, NY, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Engineering (miscellaneous),Condensed Matter Physics,Computer Science (miscellaneous),Software

Link

http://xplorestaging.ieee.org/ielx7/8924785/9998549/10065451.pdf?arnumber=10065451

Reference93 articles.

1. Quantum Natural Gradient

2. Quantum Algorithms for Learning Symmetric Juntas via the Adversary Bound

3. Evaluating analytic gradients on quantum hardware

4. Quantum Algorithms for Learning and Testing Juntas

5. Structure optimization for parameterized quantum circuits

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