# Quantum-Inspired Optimization Algorithms for Scalable Machine Learning in Edge Computing

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/quantum-inspired-optimization-algorithms-for-scalable-machine-learning-in-edge/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rohit Goyal,Krishan Kumar,Vivek Sharma,Rudramani Bhutia,Arpit Jain,Munish Kumar |
| Citations | 48 |
| DOI | 10.1109/ictacs62700.2024.10840586 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4406658114 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [Vivek Sharma](https://scholariq.org/researchers/vivek-sharma/)

## 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/)
- [Cloud Computing and Resource Management](https://scholariq.org/topics/cloud-computing-and-resource-management/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-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.