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Solving Multi-Portfolio Optimization Problems with Hybrid Quantum-Classical Methods on NISQ Devices

Fields Institute via YouTube

Overview

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Learn to solve multi-portfolio optimization problems using hybrid quantum-classical methods specifically designed for Noisy Intermediate-Scale Quantum (NISQ) devices in this 34-minute workshop lecture. Explore the intersection of quantum computing and financial optimization as instructor Luis Perez from Université de Lille demonstrates practical approaches to implementing quantum algorithms for complex portfolio management scenarios. Discover how to leverage the current capabilities of NISQ quantum computers while addressing their inherent limitations through hybrid computational strategies that combine quantum and classical processing methods. Gain insights into the mathematical frameworks and algorithmic techniques necessary for tackling multi-dimensional portfolio optimization challenges that arise in modern financial applications, with particular emphasis on the practical constraints and opportunities presented by today's quantum hardware.

Syllabus

Solving multi-portfolio optimization problems with hybrid quantum-classical methods on NISQ devices

Taught by

Fields Institute

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