Authors:
Muniraju Hullurappa

Addresses:
Department of Data Analytics and Information Technology, System Soft Technologies, Texas, United States of America, muniraju.h@sstech.us. 

Abstract:

Two powerful technologies, quantum computing and artificial intelligence (AI), can potentially disrupt sectors and solve some of society’s greatest problems in practically every industry. A study on how quantum computing and AI can work together. We seek to provide a comprehensive literature review encompassing key contributions and problems from both domains. The AI mission’s unique quantum computing strategy and how quantum algorithms can be used to slave for machine learning models and high-speed, sophisticated, accepted handling are explained. Quantum Computing has been shown to improve AI performance, efficiency, turnaround time, and problem-solving capacities. The research continues by considering what this means for quantum computing in AI, where transformational potential may exist, and where AI work currently limits quantum computing’s use. We also explore future research paths, emphasizing the need for interdisciplinary collaboration to properly utilize those technologies and overcome obstacles. This study should be a foundation for future research and discovery at the interface of quantum computing and AI, leading to ground-breaking applications and results.

Keywords: Quantum Computing; Artificial Intelligence; Quantum Machine Learning; Quantum Algorithms; Quantum Advantage; Quantum Approximate Optimization Algorithm (QAOA); Quantum Support Vector Machine (QSVM).

Received on: 12/01/2024, Revised on: 19/03/2024, Accepted on: 11/05/2024, Published on: 09/06/2024

DOI: 10.69888/FTSCL.2024.000186

FMDB Transactions on Sustainable Computer Letters, 2024 Vol. 2 No. 2, Pages: 120-130

• Views : 142
• Downloads : 14

Download PDF