Introduction to Programming Quantum Algorithms in IBM’s Qiskit

In this course, you will learn the basics of modern quantum computing and gain exposure to software used to analyze and simulate quantum algorithms. Part 1 of the course will begin with an introduction to quantum gates and circuits after a brief refresher on quantum mechanics. We will then dive into modern quantum algorithms used in machine learning, molecular/material simulation, and combinatorial optimization. By the end of Part 1, you will be able to construct and analyze quantum circuits. Furthermore, you will be able to translate example quantum algorithms into quantum circuits.

The second part of the course will focus on gaining hands-on experience with implementing quantum circuits and algorithms using IBM’s Qiskit API. Through Qiskit, you will learn to construct, simulate, and analyze quantum circuits. This will include a discussion of noisy emulators used to mimic hardware dynamics. The course will finish with a brief introduction to executing quantum circuits on quantum hardware. By the end of Part 2, you will be able to leverage Qiskit to construct quantum algorithms and analyze their behavior in simulated and experimental environments.