Examining Quantum Computing for Simulating Complex Systems in Big Data Applications
Introduction Quantum computing represents a paradigm shift in computational power, leveraging the principles of quantum mechanics—such as superposition, entanglement, and quantum tunneling—to perform calculations exponentially faster than classical computers for specific problems. In the context of big data applications, where vast datasets and intricate systems demand significant computational resources, quantum computing offers transformative potential. This chapter examines how quantum computing can simulate complex systems for big data applications, exploring its theoretical foundations, current capabilities, practical applications, and future prospects. Complex systems—such as financial markets, climate models, biological networks, and supply chains—are characterized by numerous interacting components, non-linear dynamics, and emergent behaviors. Simulating these systems using classical computing often requires immense computational resources and time, particularly when h...