Towards Optimizations of Quantum Circuit Simulation for Solving Max-Cut Problems with QAOA-Reference-Cited by-同舟云学术

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Towards Optimizations of Quantum Circuit Simulation for Solving Max-Cut Problems with QAOA

Published:2024-04-08 Issue: Volume: Page:1487-1494
ISSN:
Container-title:Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
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Author:

Lin Yu-Cheng¹^ORCID,Wang Chuan-Chi¹^ORCID,Tu Chia-Heng²^ORCID,Hung Shih-Hao¹^ORCID

Affiliation:

1. National Taiwan University, Taipei, Taiwan

2. National Cheng Kung University, Taipei, Taiwan

Funder

Ministry of Science and Technology

National Science and Technology Council

Center of Data Intelligence: Technologies, Applications, and Systems

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3605098.3635897

Reference43 articles.

1. Quantum annealing: A new method for minimizing multidimensional functions

2. Circuit Compilation Methodologies for Quantum Approximate Optimization Algorithm

3. Design-Space Exploration of Quantum Approximate Optimization Algorithm under Noise

4. Mahabubul Alam, Abdullah Ash-Saki, Junde Li, Anupam Chattopadhyay, and Swaroop Ghosh. 2020. Noise Resilient Compilation Policies for Quantum Approximate Optimization Algorithm. In 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD). 1--7.

5. An Efficient Circuit Compilation Flow for Quantum Approximate Optimization Algorithm

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