Quantum technologies outreach and AI

Title

Quantum technologies outreach and AI

Creator

Sharma, Vandana; Rani, Seema; Raj, Arman; Shanu, Ankit Kumar; Iwendi, Celestine

Description

Quantum computing is one of the buzzing technologies in this modern computational era. Quantum computing is purely based on quantum mechanics as few dormant applications and advanced studies of quantum computers are integrated with quantum mechanics. This paper highlights the seven perspectives of quantum computing which is essential to get deep insights of quantum computing. The seven prerequisites are superposition, decoherence, entanglement, linear algebra, classical mechanics, quantum Fourier analysis and many body systems. The main objective of this paper is to find few stupendous impacts of this computing which will complement and explore various applications of artificial intelligence like weather pattern identification, traffic prediction, e-mail spam filtering, logistics optimisation, etc. This paper discusses visions of the top quantum computing companies and their contributions to quantum technologies. In this paper, a comparative analysis has been presented between quantum computing and classical computing. The major challenges which quantum computing faces have been addressed. Copyright 2025 Inderscience Enterprises Ltd.

Source

International Journal of Services, Economics and Management;Volume;16;Issue;2026-05-04 00:00:00;pp.556-577

Date

01-01-2025

Publisher

Inderscience Publishers

Subject

entanglement; quantum computing; quantum Fourier analysis; quantum mechanics; superposition

Coverage

Sharma V., Christ University, Delhi NCR Campus, India; Rani S., Amity Institute of Information Technology, Amity University, Noida Campus, India; Raj A., SCSE, Galgotias University, Greater Noida, India; Shanu A.K., SCSE, Galgotias University, Greater Noida, India; Iwendi C., School of Creative Technologies, University of Bolton, United Kingdom

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISSN: 17530822;

Format

online

Language

English

Type

Article

Identifier

https://doi.org/10.1504/IJSEM.2025.148477

https://www.scopus.com/pages/publications/105015966970?origin=resultslist