Self-Healing Cloud Infrastructures via Al-Driven Quantum Optimization

The integration of Artificial Intelligence (AI) with quantum optimization techniques, particularly quantum annealing, offers a promising pathway to enhance the resilience and efficiency of cloud infrastructures. This paper explores the application of quantum annealing to optimize AI algorithms for real-time fault detection and automated recovery in multi-cloud systems.

Authors

Publication Details

Journal
Cuestiones de Fisioterapia
Published
2024-12-15
DOI
https://doi.org/10.48047/nrh7me39
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Self-Healing Cloud Infrastructures via Al-Driven Quantum Optimization

Mahender Singh
Cuestiones de Fisioterapia
IoT and Edge/Fog Computing
article

Self-Healing Cloud Infrastructures via Al-Driven Quantum Optimization

Mahender Singh
article en

Abstract

The integration of Artificial Intelligence (AI) with quantum optimization techniques, particularly quantum annealing, offers a promising pathway to enhance the resilience and efficiency of cloud infrastructures. This paper explores the application of quantum annealing to optimize AI algorithms for real-time fault detection and automated recovery in multi-cloud systems.

Cuestiones de FisioterapiaVol. 53(03)
Openalex Percentile: Top 65%
IoT and Edge/Fog Computing
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Self-Healing Cloud Infrastructures via Al-Driven Quantum Optimization — Mahender Singh · Cuestiones de Fisioterapia (2024) | TGRS Research Map | TGRS