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The Role of Quantum Computing in the Future of Cloud AI
Subject area: Science,Engineering and Technology · Area of research: AI /ML Cloud computing Future of cloud computing
Abstract
As the Artificial Intelligence (AI) systems become more and more complicated, the demands of computational energy also increase tremendously consequently overtaxing the traditional infrastructures of the cloud. Quantum computing, premised on a distinct computational concept of quantum bits (qubits), offers a revolutionary possibility for the future of cloud-based AI. In this paper, we will study the call to this new meeting of quantum computing and cloud AI examining how quantum algorithms (quantum machine learning (QML) and quantum optimization techniques) facilitate faster computations, trainings and decision-making tasks. It also analyzes how the quantum processors are integrated to cloud ecosystems in terms of the architectural integration that is made possible through quantum-as-a-service (QaaS) platforms offered by big technology providers. The issues of error correction, the ability to scale, and hardware availability are discussed as well as possibilities for breakthroughs that would allow a practical deployment. In the end, this work highlights the possibility of quantum computing to revolutionize the state of AI development in cloud environment, to provide previously unparalleled velocity, efficiency and problem-solving capacity.
How to cite this paper
@article{1708568,
author = {Anant Mittal},
title = {The Role of Quantum Computing in the Future of Cloud AI},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {11},
pages = {2222-2231},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1708568.pdf},
abstract = {As the Artificial Intelligence (AI) systems become more and more complicated, the demands of computational energy also increase tremendously consequently overtaxing the traditional infrastructures of the cloud. Quantum computing, premised on a distinct computational concept of quantum bits (qubits), offers a revolutionary possibility for the future of cloud-based AI. In this paper, we will study the call to this new meeting of quantum computing and cloud AI examining how quantum algorithms (quantum machine learning (QML) and quantum optimization techniques) facilitate faster computations, trainings and decision-making tasks. It also analyzes how the quantum processors are integrated to cloud ecosystems in terms of the architectural integration that is made possible through quantum-as-a-service (QaaS) platforms offered by big technology providers. The issues of error correction, the ability to scale, and hardware availability are discussed as well as possibilities for breakthroughs that would allow a practical deployment. In the end, this work highlights the possibility of quantum computing to revolutionize the state of AI development in cloud environment, to provide previously unparalleled velocity, efficiency and problem-solving capacity.},
month = {May},
}