A Review Paper On Quantum Generative AI

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Aditee Bhosale; Prajkta Patil; Siddhi Kolekar; Aatharv Durugade; Neha Bamane; suyash Bange; Kaustubh Joshi; Abhijeet Paritekar

A Review Paper On Quantum Generative AI

Authors: Aditee Bhosale, Prajkta Patil, Siddhi Kolekar, Aatharv Durugade, Neha Bamane, suyash Bange, Kaustubh Joshi, Abhijeet Paritekar

Unique Paper ID: 174641
Volume: 11
Issue: 11
PageNo: 683-688

Keywords: Quantum Generative AI Quantum Computing Artificial Intelligence Quantum Neural Networks Quantum Machine Learning Quantum GANs Quantum Optimization Quantum Algorithms.

Abstract:
Quantum Generative AI (QGAI) combines quantum computing with artificial intelligence to enhance capabilities in data generation, optimization, and pattern detection. By utilizing quantum mechanics principles such as superposition and entanglement, it significantly improves speed, efficiency, and computational power in comparison to traditional generative models. QGAI contributes to advancements in drug development, cryptography, material science, and creative applications of AI. However, the implementation of quantum AI presents challenges, including hardware limitations, noise in quantum systems, and complex algorithms. This paper explores the advancements, uses, and potential of QGAI and its capacity to transform artificial intelligence and computing.

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ISSN: 2349-6002
Volume: 11
Issue: 11
PageNo: 683-688

A Review Paper On Quantum Generative AI

Available:https://ijirt.org/article?manuscript=174641

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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