Quantum Machine Learning in Finance: Portfolio Optimization and Next-Gen Trading Models

di Graham Holt (Autore)

BBK PUB 2026, 2026

What happens when Wall Street meets quantum physics and machine learning? No, this isn't the setup for a bad joke—it's the future of finance. This book is your no-nonsense (but occasionally sarcastic) guide to quantum machine learning applied to real financial problems: portfolio optimization, risk management, and next-generation trading models. If you've ever felt that classical finance models are duct-taped together and hoping markets behave, you're not wrong—and that's exactly why quantum methods are showing up. Written for quants, data scientists, traders, researchers, and curious overachievers, this book breaks down how quantum computing + machine learning can tackle problems that make traditional algorithms sweat. You'll move from core concepts to practical models without needing a PhD in physics—or a tolerance for academic boredom. Inside, you'll explore: Why financial markets are practically begging for quantum solutions How quantum machine learning actually works (without mystical nonsense) Encoding financial data into quantum systems that don't instantly fall apart Quantum portfolio optimization using QUBO, annealing, and variational methods Risk modeling with quantum Monte Carlo and scenario analysis Quantum-enhanced trading strategies, pattern recognition, and reinforcement learning Hybrid quantum–classical systems you can realistically deploy today Real-world case studies, limitations, and hard-earned lessons What's hype, what's real, and what's coming next in quantum finance This isn't a "quantum will magically solve everything" book. It's honest about hardware limits, noisy systems, and the reality of deploying cutting-edge models in regulated markets. At the same time, it's unapologetically optimistic—because the shift is already happening, whether you're ready or not. Expect clear explanations, practical intuition, and just enough humor to keep your brain awake while learning concepts that used to be locked behind research papers. If you're serious about staying ahead in quantitative finance—and you don't mind your future arriving a little early—this book is for you. Welcome to the weird, powerful, and surprisingly practical world of quantum machine learning in finance.

• Autore: Graham Holt
• Anno edizione: 2026
• Editore: BBK PUB 2026
• Formato: EPUB2 con DRMFREE
• Lingua: Inglese
• Compatibilità: Tutti i dispositivi (eccetto Kindle)
• Layout: Reflowable
• EAN: 9798235602427