Quantum Computing in Finance Optimization, Machine Learning, and Cybersecurity Frontiers - Joe Ghalbouni
Year: 2025
Type: article
Abstract: Over the past decade, quantum computing has evolved from laboratory research to an emerging technological frontier reshaping high-value industries such as finance. As the complexity of markets and data grows, the financial sector faces challenges in optimization, predictive modeling, and cybersecurity that exceed the reach of classical methods. In this talk, Dr. Joe Ghalbouni, Quantum Strategy Consultant and former Hedge Fund Core Innovation Research Lead, will explore how quantum computing is redefining these problem spaces. The discussion will highlight advances in portfolio optimization using hybrid quantum approaches such as Tensor Networks and HHL, quantum-enhanced machine learning for predictive analytics, and post-quantum cybersecurity for data protection and digital trust. Dr. Ghalbouni will also share how institutions can effectively integrate quantum computing into their innovation pipelines—through white papers, executive roundtables, workshops, and workforce training—bridging the gap between theoretical potential and real-world implementation.
Author: Ghalbouni, Joe
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7106288186
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