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Quantum Algorithms and Predictive Analytics

Muhammad Usman Tariq

2024Advances in marketing, customer relationship management, and e-services book series12 citationsDOI

Abstract

This chapter examines how quantum computing has impacted predictive analytics in neuromarketing in a significant way. It talks about how marketers understanding, and prediction of consumer behaviour is changing as a result of quantum algorithms' capacity to process large and complex datasets. The chapter explores how quantum AI is being applied in the real world and highlights businesses that have effectively used this technology to get more precise predictive insights. Furthermore, it provides guidelines for responsible implementation and discusses ethical issues related to the use of quantum AI such as privacy and data transparency. In order to improve consumer engagement strategies, the chapter also looks at interdisciplinary approaches that combine quantum AI with marketing and neuroscience. With an eye toward the future the chapter projects how quantum-enhanced predictive analytics will impact neuromarketing over the next ten years by identifying emerging trends possible obstacles and opportunities.

Topics & Concepts

Predictive analyticsAnalyticsComputer scienceAlgorithmData scienceQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyComputability, Logic, AI Algorithms
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