The intersection of Artificial Intelligence (AI) and Quantum Computing in financial markets is a rapidly evolving field, offering unprecedented capabilities to analyze and navigate complex financial systems. Quantum computing could revolutionize financial markets by providing solutions to complex problems like derivative pricing, risk analysis, portfolio optimization, and fraud detection. However, the integration of AI and quantum computing faces challenges such as hardware constraints, error correction issues, and high infrastructure costs. This critical review aims to provide a comprehensive assessment of the current state of this intersection, highlighting its transformative potential, challenges, and ethical implications.
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