THE INTERSECTION OF AI AND QUANTUM COMPUTING IN FINANCIAL MARKETS: A CRITICAL REVIEW

Akoh Atadoga, Chinedu Ugochukwu Ike, Onyeka Franca Asuzu, Benjamin Samson Ayinla, Ndubuisi Leonard Ndubuisi, Rhoda Adura Adeleye
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引用次数: 1

Abstract

This review explores the intricate and evolving relationship between Artificial Intelligence (AI) and Quantum Computing within the realm of financial markets. As technology continues to advance, the integration of AI and quantum computing has emerged as a paradigm-shifting force, promising unprecedented capabilities to analyze and navigate the complexities of financial systems. This critical review delves into the synergies, challenges, and potential disruptions arising from the intersection of these two transformative technologies. The utilization of AI in financial markets has witnessed remarkable progress in recent years, with machine learning algorithms, deep neural networks, and natural language processing contributing to enhanced data analysis, predictive modeling, and decision-making. However, the computational demands of these sophisticated algorithms often surpass the capabilities of classical computing architectures, paving the way for the exploration of quantum computing as a potential solution. Quantum computing, with its ability to process vast datasets and perform complex calculations at speeds inconceivable by classical computers, presents a revolutionary approach to addressing the computational challenges faced by AI in financial applications. The review critically examines the potential advantages of quantum computing, such as its capacity to solve optimization problems, simulate financial scenarios, and secure data through quantum cryptography. Despite the promises, the integration of AI and quantum computing in financial markets is not without hurdles. The review investigates the current limitations, including hardware constraints, error correction challenges, and the high costs associated with quantum computing infrastructure. Ethical considerations and regulatory frameworks surrounding the implementation of such powerful technologies in financial decision-making also warrant careful examination. This critical review provides a comprehensive analysis of the intersection of AI and quantum computing in financial markets, shedding light on the transformative potential, challenges, and ethical implications that accompany this cutting-edge convergence of technologies. Understanding this intersection is crucial for stakeholders seeking to navigate the evolving landscape of finance and technology. Keywords: AI, Quantum, Computing, Financial Market, Review.
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人工智能与量子计算在金融市场中的交集:批判性评论
这篇综述探讨了人工智能(AI)与量子计算在金融市场领域错综复杂、不断发展的关系。随着技术的不断进步,人工智能与量子计算的融合已成为一种改变范式的力量,有望为分析和驾驭复杂的金融系统带来前所未有的能力。这篇评论深入探讨了这两种变革性技术的协同作用、挑战和交叉带来的潜在干扰。近年来,人工智能在金融市场的应用取得了显著进展,机器学习算法、深度神经网络和自然语言处理为增强数据分析、预测建模和决策做出了贡献。然而,这些复杂算法的计算需求往往超过了经典计算架构的能力,这为探索量子计算的潜在解决方案铺平了道路。量子计算能够以经典计算机无法想象的速度处理庞大的数据集和执行复杂的计算,为解决人工智能在金融应用中面临的计算挑战提供了一种革命性的方法。本综述批判性地研究了量子计算的潜在优势,如解决优化问题、模拟金融场景以及通过量子密码学确保数据安全的能力。尽管前景广阔,但人工智能与量子计算在金融市场的融合并非没有障碍。本综述调查了当前的局限性,包括硬件限制、纠错挑战以及与量子计算基础设施相关的高成本。围绕在金融决策中实施这种强大技术的伦理考虑因素和监管框架也值得仔细研究。本评论全面分析了人工智能和量子计算在金融市场中的交集,揭示了这一尖端技术融合所带来的变革潜力、挑战和伦理影响。了解这一交叉点对于寻求驾驭不断演变的金融与技术格局的利益相关者来说至关重要。关键词人工智能 量子计算 金融市场 评论
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