QArchSearch: A Scalable Quantum Architecture Search Package

Author:

Kulshrestha Ankit1ORCID,Safro Ilya1ORCID,Alexeev Yuri2ORCID

Affiliation:

1. University of Delaware, United States of America

2. Argonne National Laboratory, United States of America

Publisher

ACM

Reference18 articles.

1. [n. d.]. Polaris supercomputer. https://www.alcf.anl.gov/polaris. Accessed: 2023-09-12. [n. d.]. Polaris supercomputer. https://www.alcf.anl.gov/polaris. Accessed: 2023-09-12.

2. [n. d.]. QTensor simulator on GitHub. https://github.com/danlkv/QTensor. Accessed: 2023-07-20. [n. d.]. QTensor simulator on GitHub. https://github.com/danlkv/QTensor. Accessed: 2023-07-20.

3. Yuxuan Du , Tao Huang , Shan You , Min-Hsiu Hsieh , and Dacheng Tao . 2022. Quantum circuit architecture search for variational quantum algorithms. npj Quantum Information 8, 1 ( 2022 ), 62. Yuxuan Du, Tao Huang, Shan You, Min-Hsiu Hsieh, and Dacheng Tao. 2022. Quantum circuit architecture search for variational quantum algorithms. npj Quantum Information 8, 1 (2022), 62.

4. Trong Duong , Sang  T Truong , Minh Tam , Bao Bach , Ju-Young Ryu , and June- Koo Kevin Rhee . 2022. Quantum neural architecture search with quantum circuits metric and bayesian optimization. arXiv preprint arXiv:2206.14115 ( 2022 ). Trong Duong, Sang T Truong, Minh Tam, Bao Bach, Ju-Young Ryu, and June-Koo Kevin Rhee. 2022. Quantum neural architecture search with quantum circuits metric and bayesian optimization. arXiv preprint arXiv:2206.14115 (2022).

5. Edward Farhi , Jeffrey Goldstone , and Sam Gutmann . 2014. A Quantum Approximate Optimization Algorithm Applied to a Bounded Occurrence Constraint Problem. arXiv preprint arXiv:1412.6062 ( 2014 ). https://arxiv.org/abs/1412.6062 Edward Farhi, Jeffrey Goldstone, and Sam Gutmann. 2014. A Quantum Approximate Optimization Algorithm Applied to a Bounded Occurrence Constraint Problem. arXiv preprint arXiv:1412.6062 (2014). https://arxiv.org/abs/1412.6062

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1. SoK: quantum computing methods for machine learning optimization;Quantum Machine Intelligence;2024-07-24

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