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Quantum Computing vs. Classical Computing for Big Data Processing

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  Introduction In the era of big data, where massive datasets are generated and processed daily, the computational capabilities of traditional systems are being pushed to their limits. Classical computing, based on binary logic and sequential processing, has been the backbone of data processing for decades. However, the advent of quantum computing introduces a paradigm shift, leveraging quantum mechanics to perform computations at unprecedented speeds for specific tasks. This chapter explores the differences between quantum and classical computing, their respective strengths and limitations in big data processing, and the potential future of these technologies in handling the ever-growing data deluge. Classical Computing: The Foundation of Modern Data Processing Architecture and Operation Classical computers operate using bits, which represent either a 0 or a 1. These bits are processed through logic gates in a central processing unit (CPU) or graphics processing unit (GPU), fol...