SKU/Artículo: AMZ-B0FSY19W52

Quantum Finance: Harnessing Quantum Computing, Monte Carlo Simulations, and Portfolio Optimization to Transform Finance and Capital Markets: A Comprehensive Guide

Format:

Paperback

Kindle

Paperback

Detalles del producto
Disponibilidad:
En stock
Peso con empaque:
1.08 kg
Devolución:
Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • Reactive PublishingFinance is about to be rewritten, not by Wall Street, but by quantum physics.In Quantum Finance, Hayden Van Der Post delivers a groundbreaking synthesis of quantum computing and capital markets, offering a bold roadmap for the post-classical financial era. Whether you're a quant, trader, investor, data scientist, or financial visionary, this book reveals the coming wave of disruption that will reshape risk, alpha, and opportunity as we know it.From quantum algorithms like Grover’s and Shor’s, to quantum-enhanced Monte Carlo simulations, to portfolio optimization via QUBO solvers, this is the first comprehensive guide to applying quantum theory to real-world finance problems. With clarity, technical insight, and global perspective, Van Der Post bridges abstract theory with practical implementation, creating a new playbook for trading, risk management, and institutional strategy.What You’ll Learn-How quantum computing redefines information, uncertainty, and time in financial systems -Use cases for QAOA, VQE, quantum annealing, and more in capital markets -Quantum Monte Carlo models to improve simulations and pricing accuracy -Portfolio optimization using quantum-native QUBO frameworks -Step-by-step walkthroughs with Qiskit, PennyLane, and D-Wave Ocean SDK -Global implications: who wins the quantum finance arms race, US, China, or the shadow state of capital?Who This Book Is ForAlgorithmic Traders & Quant ResearchersVenture Capitalists & Institutional InvestorsData Scientists & AI EngineersRegulators & Policymakers seeking strategic foresight About the AuthorHayden Van Der Post is a finance author, entrepreneur, and global strategist building the future. His work spans quantitative finance, machine learning, and economic theory, bridging the world of capital with the world of code.
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