# A Hybrid Quantum Machine Learning for the Prediction of Protein Folding

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-hybrid-quantum-machine-learning-for-the-prediction-of-protein-folding/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Paridhi Chawhan,Ishita Singh |
| Citations | 0 |
| DOI | 10.1007/978-981-97-5862-3_2 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4403427672 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [Ishita Singh](https://scholariq.org/researchers/ishita-singh/)

## Paper journal

- [Studies in autonomic, data-driven and industrial computing](https://scholariq.org/journals/studies-in-autonomic-data-driven-and-industrial-computing/)

## Paper primary topic

- [Protein Structure and Dynamics](https://scholariq.org/topics/protein-structure-and-dynamics/)

## Paper topics

- [Protein Structure and Dynamics](https://scholariq.org/topics/protein-structure-and-dynamics/)
- [Quantum Computing Algorithms and Architecture](https://scholariq.org/topics/quantum-computing-algorithms-and-architecture/)

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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.