Quantum Computing: Implications for Artificial Intelligence and Machine Learning

Quantum computing has transformed into a revolutionary technology which can revolutionize artificial intelligence (AI) and machine learning (ML). The processing capabilities of quantum systems rely on the principles of superposition and entanglement to complete operations at quantum-fast speeds which drives solutions for optimization problems and pattern detection along with deep learning breakthroughs. The document analyzes quantum computing fundamentals and its leadership over conventional systems and their applications toward enhancing AI and ML capabilities. This paper examines modern advancements as well as present obstacles and future prospects of this fast-growing field.

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Publication Details

Journal
Metallurgical and Materials Engineering
Published
2025-01-22
DOI
https://doi.org/10.63278/1251
Citations
2
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
4.96
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Quantum Computing: Implications for Artificial Intelligence and Machine Learning

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Metallurgical and Materials Engineering
Quantum Computing Algorithms and Architecture
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Quantum Computing: Implications for Artificial Intelligence and Machine Learning

Neha Purohit, Ravi Kumar Jalli, N. Vishwanath, V. Rama Krishna, Kallakuri N V P S Brahma Ramesh
article en
2 citations

Abstract

Quantum computing has transformed into a revolutionary technology which can revolutionize artificial intelligence (AI) and machine learning (ML). The processing capabilities of quantum systems rely on the principles of superposition and entanglement to complete operations at quantum-fast speeds which drives solutions for optimization problems and pattern detection along with deep learning breakthroughs. The document analyzes quantum computing fundamentals and its leadership over conventional systems and their applications toward enhancing AI and ML capabilities. This paper examines modern advancements as well as present obstacles and future prospects of this fast-growing field.

Metallurgical and Materials EngineeringVol. 31(1)
Martin College (AU), University College for Women (IN), CMR University (IN), Raisoni Group of Institutions (IN), Amrita Vishwa Vidyapeetham (IN)
Openalex Percentile: Top 6%
Quantum Computing Algorithms and Architecture
4.96
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