Introduction to Generative Modeling Using Quantum Machine Learning

QU Winter School Speaker Series

Join Luis Serrano in an Introduction to Generative Modeling Using Quantum Machine Learning

Register here (Please register with this link for zoom information)
https://quspeakerseries19.splashthat.com/

A conversation with Quants, Thinkers and Innovators all challenged to innovate in turbulent times!

Join QuantUniversity for a complimentary fall speaker series where you will hear from Quants, innovators, startups and Fintech experts on various topics in Quant Investing, Machine Learning, Optimization, Fintech, AI etc.

Ever wondered how quantum computers work, and how they do machine learning? With quantum computing technologies nearing the ear of commercialization and quantum advantage, machine learning has been proposed as one of the most promising applications. One of the areas in which quantum computing is showing great potential is in generative models in unsupervised and semi-supervised learning.

In this training, you will develop a basic understanding of quantum computing and how it can be used in machine learning models, with special emphasis on generative models. We will focus on a particular architecture, the quantum circuit Born machine (QCBM), and use it to generate a simple dataset of bars and stripes.

No previous knowledge of quantum computing and the generative model is needed for this workshop.