What is Generative Machine Learning | Fundamentals of Quantum Computing

Learn about what is generative machine learning and the key fundamentals of quantum computing. Generative machine learning is the field of ML that focuses on generating data. If you've seen any of the realistic-looking faces on pages such as www.thispersondoesnotexist.com or www.whichfaceisreal.com, you've seen generative machine learning in action. Quantum computing is a rapidly advancing field that harnesses the properties of quantum states to perform calculations that many times are very hard for classical computers. In this webinar, you'll learn a combination of these two, namely, quantum generative machine learning. In particular, you'll learn about the Quantum Circuit Born Machine (QCBM), a quantum neural network type, which is used for generating data.

In this webinar, we introduce the fundamentals of quantum computing and quantum machine learning. By the end of the session, you will be able to:
- Understand what generative machine learning is
- Understand the fundamentals of quantum computing

Table of Content
00:00 Introduction
01:06 Intro to quantum generative machine learning
03:20 Classical vs. quantum machine learning
10:07 Classical bits vs. quantum bits
13:00 Measurement
16:44 Measuring different bases
31:00 Quantum entanglement
37:28 What circuit to use?
40:00 The bars and stripes dataset
47:00 Where to access relevant tools
49:30 QnA

Coding tutorial: https://github.com/zapatacomputing/tutorial-qml
Video tutorial: https://docs.orquestra.io/tutorials/probabilistic-modeling-with-quantum-circuits/
Luis's channel: www.youtube.com/c/LuisSerrano
Grokking machine learning book (40% discount code: serranopc): www.manning.com/books/grokking-machine-learning
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