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Quantum AI in Trading: Pondering the Breakthrough or Overhyped Debate Introduction The intersection of quantum computing and artificial intelligence (AI) has sparked an intense debate in the financial world, particularly in trading. As the financial industry embraces AI-driven decision-making, the potential of leveraging quantum computing for trading strategies becomes an enticing prospect. However, amidst the excitement, it is crucial to critically examine whether the promises of quantum AI in trading are indeed groundbreaking or merely overhyped. The Quantum Advantage Quantum computing boasts unprecedented computational power, enabling the processing of vast datasets at an unparalleled speed. This capacity has the potential to revolutionize trading strategies by accelerating calculations and optimization algorithms. Additionally, quantum AI can enhance predictive modeling, empowering traders to make more accurate predictions in highly volatile markets. The ability to predict market trends with greater precision could significantly impact investment decisions, potentially yielding substantial returns. Challenges and Limitations While the quantum advantage in trading seems promising, challenges and limitations persist. One notable constraint is the current scarcity of quantum computers with sufficient qubits and low error rates. The technology is still in its nascent stages, and creating stable quantum systems capable of effectively executing complex trading algorithms remains a formidable task. Moreover, the integration of quantum AI into existing trading systems