Training > System Administration > Introduction to Quantum Circuits (LFQ103x)
Training Course

Introduction to Quantum Circuits (LFQ103x)

Quantum computing is expected to impact all industries, ranging from cybersecurity to medicine. It provides a promise to solve many problems faster and more efficiently than classical computers. This course will introduce you to the core concepts related to quantum computing and give you an opportunity to explore IBM Q Experience Visual Composer. This graphical quantum programming tool lets you build quantum circuits and run them on real quantum hardware or simulators.

Who Is It For

This course is geared towards anyone new to the field of quantum computing—from high school students to working professionals who are not familiar with quantum computing or those wishing to improve their understanding of the topic. Knowledge of complex numbers and vectors is recommended.
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What You’ll Learn

This course discusses the basics of quantum computing. You will gain an understanding of the technology landscape—the present state and the future potential of quantum computing. You will also learn how to create quantum circuits for various quantum algorithms and be able to interact with quantum hardware using IBM Q Visual Composer.
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What It Prepares You For

The course gives you a head start to learning quantum computing in depth. Upon course completion, you should be ready to explore the IBM Quantum Lab, which offers more advanced codes to interface with quantum hardware using Python.
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Course Outline
Chapter 1. Motivation for Quantum Computing
Chapter 2. Understanding Superposition and Measurement in Quantum Mechanics
Chapter 3. Understanding Qubits in More Detail
Chapter 4. Quantum Entanglement and Bell’s Theorem
Chapter 5. Introduction to Quantum Gates and Circuits
Chapter 6. Hands-on Lab on IBM Q Experience Visual Composer
Chapter 7. Deutsch Algorithm
Chapter 8. What’s Next
Final Exam (Verified Track Only)

May 2023
Course rhythm was very good, it covered basic to advanced very smoothly.
Apr 2023
The core concepts were explained very well.