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.
Authors
- Neha Purohit
- Ravi Kumar Jalli (ORCID: https://orcid.org/0000-0001-5272-7488)
- N. Vishwanath
- V. Rama Krishna (ORCID: https://orcid.org/0000-0002-9497-8338)
- Kallakuri N V P S Brahma Ramesh
Institutions
- Martin College (AU)
- University College for Women (IN)
- CMR University (IN)
- Raisoni Group of Institutions (IN)
- Amrita Vishwa Vidyapeetham (IN)
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