Completed
Comprehensive Quantum Programming with Qiskit
Learn quantum computing concepts and implement quantum circuits and algorithms with Qiskit.
- Category
- Artificial Intelligence
- Rating
Course overview
Quantum computing is one of the most important emerging technologies in computer science. By using the principles of quantum mechanics, it introduces new approaches to information processing. In this course, you will learn the core concepts of quantum computing, including qubits, superposition, entanglement, measurement, and quantum gates. You will also study the differences between classical and quantum computing through both conceptual and practical examples.\n\nThe practical part of the course focuses on programming quantum circuits with Python and the Qiskit library. You will learn how to prepare the development environment, create quantum circuits, apply different gates to qubits, execute circuits using simulators, and analyze the obtained results. You will also become familiar with running quantum circuits through cloud services and on real quantum hardware.\n\nThe course also covers important introductory quantum algorithms such as Deutsch-Jozsa and Grover's algorithm through practical implementations. It follows a project-based approach, and by the end of the course, you will complete a practical project involving the design and execution of quantum circuits and algorithms using Qiskit.
Course details
- Start date
- 8/16/2026
- End date
- 9/22/2026
- Registration deadline
Who is this course for?
- Programmers and software developers
- Computer science, computer engineering, and electrical engineering students
- Researchers in artificial intelligence, machine learning, and data science
- Quantum computing and emerging technology enthusiasts
Course objectives
Course syllabus
- 1
Introduction to Quantum Computing
This section introduces the history of quantum computing, the differences between classical and quantum computers, major applications, and current limitations of the technology
- 2
Quantum Mechanics Fundamentals
Basic concepts such as quantum states, superposition, probability, measurement, and entanglement are explained through simple and understandable examples.
- 3
Qubits and Quantum Gates
This section explains the structure and representation of qubits and introduces important gates such as X, Y, Z, H, CNOT, and rotation gates.
- 4
Course instructors
- m
mehdi marzban
Instructor
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Frequently asked questions
Do I need to know Python before joining this course
Yes, basic Python knowledge is recommended. Required topics such as variables, conditions, loops, functions, and working with libraries will be reviewed during the course.
Do I need advanced mathematics knowledge to learn quantum computing?
No, the required mathematical concepts will be explained gradually and simply. Basic knowledge of linear algebra and probability can be helpful but is not mandatory
Do I need access to a quantum computer to join the course?
No, the exercises will initially be performed using Qiskit simulators. You will also learn how to use cloud services to run circuits on real quantum hardware.
