JuliQAOA: Fast, Flexible QAOA Simulation-Reference-Cited by-同舟云学术

JuliQAOA: Fast, Flexible QAOA Simulation

Published:2023-11-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
language:
Short-container-title:

Author:

Golden John¹^ORCID,Baertschi Andreas¹^ORCID,O'Malley Dan¹^ORCID,Pelofske Elijah¹^ORCID,Eidenbenz Stephan¹^ORCID

Affiliation:

1. Los Alamos National Laboratory, United States of America

Funder

Department of Energy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3624062.3624220

Reference33 articles.

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2. [n. d.]. Simulation code for trotterized quantum annealing on GitHub. https://github.com/shsack/TQA-init.-for-QAOA/blob/59aaca45c382bc0b8ec93b0810a8d5ce45c2f28d/TQA_QAOA.ipynb. accessed 9-18-2023. [n. d.]. Simulation code for trotterized quantum annealing on GitHub. https://github.com/shsack/TQA-init.-for-QAOA/blob/59aaca45c382bc0b8ec93b0810a8d5ce45c2f28d/TQA_QAOA.ipynb. accessed 9-18-2023.

3. Atilim Gunes Baydin Barak A. Pearlmutter Alexey Andreyevich Radul and Jeffrey Mark Siskind. 2018. Automatic differentiation in machine learning: a survey. arxiv:1502.05767 [cs.SC] Atilim Gunes Baydin Barak A. Pearlmutter Alexey Andreyevich Radul and Jeffrey Mark Siskind. 2018. Automatic differentiation in machine learning: a survey. arxiv:1502.05767 [cs.SC]

4. Effective Extensible Programming: Unleashing Julia on GPUs

5. Julia: A Fresh Approach to Numerical Computing

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