Accelerating Noisy VQE Optimization with Gaussian Processes-Reference-Cited by-同舟云学术

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Accelerating Noisy VQE Optimization with Gaussian Processes

Published:2022-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Quantum Computing and Engineering (QCE)
language:
Short-container-title:

Author:

Muller Juliane¹,Lavrijsen Wim¹,Iancu Costin¹,de Jong Wibe¹

Affiliation:

1. Lawrence Berkeley National Laboratory,Computing Sciences Area,Berkeley,CA,USA

Funder

Office of Science

Advanced Scientific Computing Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9951048/9951167/09951304.pdf?arnumber=9951304

Reference40 articles.

1. Quantum approximate optimization algorithm for MaxCut: A fermionic view

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1. Parameter-setting heuristic for the quantum alternating operator ansatz;Physical Review Research;2024-05-15

2. Distributionally Robust Variational Quantum Algorithms With Shifted Noise;IEEE Transactions on Quantum Engineering;2024

3. Fermionic simulators for enhanced scalability of variational quantum simulation;Physical Review Research;2023-11-27

4. Quantum Circuit Optimization through Iteratively Pre-Conditioned Gradient Descent;2023 IEEE International Conference on Quantum Computing and Engineering (QCE);2023-09-17

5. Exploring the scaling limitations of the variational quantum eigensolver with the bond dissociation of hydride diatomic molecules;International Journal of Quantum Chemistry;2023-02-13

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