The Complete Quantum Computing Course

The Complete Quantum Computing Course, available at $89.99, has an average rating of 4.4, with 110 lectures, based on 1730 reviews, and has 13044 subscribers.

You will learn about Quantum Computing Quantum Programming Qiskit Python Quantum Computers This course is ideal for individuals who are Students who want to learn about Quantum Computing or Students who want to learn about Python or Quantum Computing enthusiasts It is particularly useful for Students who want to learn about Quantum Computing or Students who want to learn about Python or Quantum Computing enthusiasts.

Enroll now: The Complete Quantum Computing Course

Summary

Title: The Complete Quantum Computing Course

Price: $89.99

Average Rating: 4.4

Number of Lectures: 110

Number of Published Lectures: 110

Number of Curriculum Items: 110

Number of Published Curriculum Objects: 110

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Quantum Computing
Quantum Programming
Qiskit
Python
Quantum Computers

Who Should Attend

Students who want to learn about Quantum Computing
Students who want to learn about Python
Quantum Computing enthusiasts

Target Audiences

Students who want to learn about Quantum Computing
Students who want to learn about Python
Quantum Computing enthusiasts

Welcome to the Complete Quantum Computing Course!

Quantum computers are expected to change our lives drastically in upcoming years. We know we can solve specific problems in minutes in Quantum computers while we can solve them in thousands of years in classical computers. If you want to get ahead of the technology and learn about future, then you are at the right place!

Throughout the course we will start from scratch and understand principals of quantum mechanics and how to use them in quantum computers. We will write our own codes to execute on real quantum computers using IBM Qiskit technology. If you have high school level of mathematical knowledge, you can take this course.

Training is given by Atil Samancioglu, who has more than 250.000 students worldwide on Programming & Cyber Security along with the Codestars, serving more than 1 million students online. Atil is co-founder of Academy Club & Pera Games and he also teaches programming in Bogazici University in Turkey.

Some of the topics that will be covered throughout the course:

Quantum Computer and Classical Computer principals
Probability, Statistics, Matrices
Superposition
Entanglement
Interference
Qubit
Superdense Coding
Quantum Teleportation
Bernstein Vazirani Algorithm
Deutsch Algorithm
Shor Algorithm
Grover Algorithm
Python from Scratch
Quantum Fourier Transform
Quantum Phase Estimation

Training will start from completely zero and you will be able to reach the trainer in Q&A section if you have anything in your mind. All materials used in the training will be shared via GitHub and Udemy. Throughout the course we will use real Quantum Computers as well as simulators using IBM Qiskit framework. Python programming language will be delivered from scratch to all the way up to the details.

When you complete this training you will be able to understand theory and practice of Quantum Computing, write your own circuits and execute codes on real quantum computers. You will easily adapt your quantum knowledge to other Quantum computers rather than IBM. Since IBM is the only provider for quantum computers on cloud, without paying any fee right now, all examples will be executed on IBMQ.

Happy coding!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome

Lecture 2: How To Use This Course?

Lecture 3: Presentation for the Course

Chapter 2: Mathematical Foundations

Lecture 1: Intro to Mathematical Foundations

Lecture 2: How Classical Computers Work?

Lecture 3: Probability

Lecture 4: Statistics

Lecture 5: Complex Numbers

Lecture 6: Matrix

Lecture 7: Matrix Operations

Lecture 8: Special Matrices

Lecture 9: Lineer Transformation

Chapter 3: Qubit and Physics

Lecture 1: Qubit Introduction

Lecture 2: Superposition and Interference

Lecture 3: Entanglement

Lecture 4: Qubit State

Lecture 5: Braket

Lecture 6: Multi Qubit

Chapter 4: Python from Scratch

Lecture 1: Introduction to Python from Scratch

Lecture 2: Anaconda Installation for Windows Users

Lecture 3: Anaconda Installation for MAC Users

Lecture 4: Numbers

Lecture 5: Variables

Lecture 6: Downloading Notebooks

Lecture 7: Python from Scratch All GitHub Links

Lecture 8: String

Lecture 9: Advanced String

Lecture 10: Variable Attributes

Lecture 11: Lists

Lecture 12: Lists Advanced

Lecture 13: Dictionary

Lecture 14: Sets

Lecture 15: Tuples

Lecture 16: Boolean

Lecture 17: Logical Comparisons

Lecture 18: If Statements

Lecture 19: Statements Continued

Lecture 20: Statements Practical Usage

Lecture 21: For Loop

Lecture 22: For Loop Practical Usage

Lecture 23: Break Continue Pass

Lecture 24: While Loop

Lecture 25: Useful Methods

Lecture 26: Zip and Random

Lecture 27: Lists Advanced

Lecture 28: Sublime Text for Windows Users

Lecture 29: Command Prompt for Windows Users

Lecture 30: Sublime Text for MAC Users

Lecture 31: Terminal for MAC Users

Lecture 32: Functions Explained

Lecture 33: Input and Output

Lecture 34: Functions Advanced

Lecture 35: Functions Practical Usage

Lecture 36: Scope

Lecture 37: Class

Lecture 38: Methods

Lecture 39: Class Practical Usage

Lecture 40: Inheritance

Lecture 41: Special Methods

Lecture 42: Error Handling

Lecture 43: Using Libraries

Lecture 44: Writing Own Modules

Lecture 45: Imported vs Direct

Chapter 5: Qiskit 101

Lecture 1: Introduction to Qiskit

Lecture 2: Classical Gates

Lecture 3: IBM Signup

Lecture 4: Quantum Gates

Lecture 5: Entanglement

Lecture 6: Qiskit

Lecture 7: First Circuit

Lecture 8: Running on Simulator

Lecture 9: Getting Real Quantum Computer Properties

Lecture 10: Running on Real Quantum Computer

Lecture 11: Toffoli

Lecture 12: GitHub Links

Chapter 6: Teleportation

Lecture 1: Introduction to Teleportation

Lecture 2: Phase

Lecture 3: Phase and Bloch Sphere

Lecture 4: Phase ve Bloch Sphere GitHub Link

Lecture 5: Superdense Coding

Lecture 6: Quantum Teleportation

Lecture 7: Teleporation in Qiskit

Lecture 8: Quantum Teleportation GitHub Link

Chapter 7: Bernstein Vazirani

Lecture 1: Introduction to Bernstein Vazirani

Lecture 2: Quantum Algorithms

Lecture 3: Bernstein Vazirani Algorithm

Lecture 4: Improving Codes

Lecture 5: Bernstein Vazirani GitHub Link

Chapter 8: Deutsch

Lecture 1: Introduction to Deutsch

Lecture 2: Deutsch Algorithm

Lecture 3: Creating Algorithm

Lecture 4: Deutsch in Qiskit

Instructors

Codestars • over 2 million students worldwide!
Teaching the Next Generation of Coders
Atil Samancioglu
Bestselling Instructor

Rating Distribution

1 stars: 26 votes
2 stars: 51 votes
3 stars: 185 votes
4 stars: 579 votes
5 stars: 890 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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