QC101 Quantum Computing

Overview

Welcome to Udemy’s bestselling quantum computing course! This fantastic course is designed to teach quantum computing from the ground up, requiring only a 12th grade level of high-school Math and Physics. That said, you’ll want to have a genuine interest in Physics and Math since the course primarily focuses on analyzing the behavior of quantum circuits using these subjects. Just a heads up: Quantum Physics can be challenging, so don’t be surprised if you need to pause and replay lessons to understand the material fully.

The course covers various topics, including Quantum Machine Learning, which may be the killer-app for quantum computing. While understanding quantum algorithms demands mastery of complex math, using quantum machine learning is relatively simple. The course explores the foundations of quantum computing, quantum cryptography, quantum gates, and more using Microsoft Q# (QSharp) and IBM Qiskit. By teaching you the foundations of classical machine learning and neural networks, you’ll be equipped to train a Quantum Support Vector Machine on real-world data and use it to make predictions. So, if you’re ready to dive into the future of computing and ride the wave of quantum technology, enroll today and join the quantum revolution!

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Skills you’ll learn

1. Basic math skills for quantum computing such as linear algebra, probability, Boolean algebra, and complex numbers.
2. A strong understanding of quantum physics, focusing on the behavior of polarized light.
3. Knowledge of quantum cryptography, including the BB quantum protocol for secure key sharing.
4. Understanding of quantum gates, superposition, and entanglement.
5. Proficiency in constructing quantum circuits using Microsoft Q# and IBM Qiskit.
6. Experience implementing quantum cryptography protocols in Qiskit.
7. Familiarity with Shor’s algorithm for factoring large numbers.
8. Introduction to quantum machine learning, including Quantum Support Vector Machines.

Summary

Embark on an exciting journey into the realm of quantum computing with the highly-rated QC101 course, guided by the knowledgeable Kumaresan Ramanathan. Consisting of 302 engaging lessons, this course has captivated the minds of nearly 10,000 eager students. With a strong rating of 4.5 out of 5, this remarkable introduction to quantum machine learning is an opportunity you won’t want to miss!