Hybrid Quantum-Classical Architectures for Scalable Artificial Intelligence

Artificial Intelligence systems are rapidly increasing in complexity and computational demand. This paper explores the integration of quantum computing withclassical AI systems through hybrid architectures. The study discusses optimization, scalability, applications, limitations, and future implications of Quantum AI.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-29
DOI
https://doi.org/10.5281/zenodo.20442889
Primary Topic
Quantum Computing Algorithms and Architecture
Type
preprint
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preprint

Hybrid Quantum-Classical Architectures for Scalable Artificial Intelligence

Wahab Abdul
Zenodo (CERN European Organization for Nuclear Research)
Quantum Computing Algorithms and Architecture
preprint

Hybrid Quantum-Classical Architectures for Scalable Artificial Intelligence

Wahab Abdul
preprint en

Abstract

Artificial Intelligence systems are rapidly increasing in complexity and computational demand. This paper explores the integration of quantum computing withclassical AI systems through hybrid architectures. The study discusses optimization, scalability, applications, limitations, and future implications of Quantum AI.

Zenodo (CERN European Organization for Nuclear Research)
Quantum Computing Algorithms and Architecture
DOIOpen Access PDFOpenAlex
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