# Benchmarking Neural Networks For Quantum Computations

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/benchmarking-neural-networks-for-quantum-computations/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Nam H. Nguyen,Elizabeth Behrman,Mohamed A. Moustafa,James E. Steck |
| Citations | 52 |
| DOI | 10.1109/tnnls.2019.2933394 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/1807.03253 |
| OpenAlex ID | https://openalex.org/W2879447321 |
| PMID | 31484135 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Mohamed A. Moustafa](https://scholariq.org/researchers/mohamed-a-moustafa/)

## Paper journal

- [IEEE Transactions on Neural Networks and Learning Systems](https://scholariq.org/journals/ieee-transactions-on-neural-networks-and-learning-systems/)

## Paper primary topic

- [Quantum Computing Algorithms and Architecture](https://scholariq.org/topics/quantum-computing-algorithms-and-architecture/)

## Paper topics

- [Quantum Computing Algorithms and Architecture](https://scholariq.org/topics/quantum-computing-algorithms-and-architecture/)
- [Quantum Information and Cryptography](https://scholariq.org/topics/quantum-information-and-cryptography/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.