# Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/bridging-classical-and-quantum-machine-learning-knowledge-transfer-from/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mohammad Junayed Hasan,M. R. C. Mahdy |
| Citations | 3 |
| DOI | 10.48550/arxiv.2311.13810 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2311.13810 |
| OpenAlex ID | https://openalex.org/W4389072217 |
| Type | preprint |
| Year | 2023 |

## Paper authors

- [Mohammad Junayed Hasan](https://scholariq.org/researchers/mohammad-junayed-hasan/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## 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/)
- [Neural Networks and Reservoir Computing](https://scholariq.org/topics/neural-networks-and-reservoir-computing/)

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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.