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Deep Learning Tools for Predicting Stock Market Movements
book

Deep Learning Tools for Predicting Stock Market Movements

by Renuka Sharma, Kiran Mehta
May 2024
Beginner to intermediate
496 pages
13h 15m
English
Wiley-Scrivener
Content preview from Deep Learning Tools for Predicting Stock Market Movements

2Unraveling Quantum Complexity: A Fuzzy AHP Approach to Understanding Software Industry Challenges

Kiran Mehta and Renuka Sharma*

Chitkara Business School, Chitkara University, Punjab, India

Abstract

The technological revolution has presented unforeseen hurdles to the software sector. Quantum computing (QuCo) technologies are set to revolutionize software engineering due to their growing impact and maturity in recent years. The assessment and prioritization of QuCo concerns in the software sector are underdeveloped, under-identified, and dispersed. To identify critical difficulties, we performed a systematic literature analysis using data from different digital libraries. Then, we used the fuzzy analytic hierarchy process (F-AHP) to rate the obstacles and impediments. Our results show the nascent nature of QuCo research and the growing need for multidisciplinary study to solve the stated difficulties; they have implications for both academics and professionals in the field.

Keywords: Fuzzy analytic hierarchy process, quantum computing, institutional barriers, organizational barriers, software technology barriers, management barriers

2.1 Introduction

According to numerous computer experts, the “quantum age” is about to arrive [1, 2] and will be remembered as such in the 21st century. It is predicted that quantum mechanics concepts like superposition, i.e., quantum objects may be in several states at once, and entanglement, in which quantum objects can be profoundly related ...

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Publisher Resources

ISBN: 9781394214303Purchase Link