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The Complete Mathematics for Quantum Computing Course

The Complete Mathematics for Quantum Computing Course

Learn every mathematical concept for Quantum Computing in one complete course integrated with an AI Assistant!

4.7
(55 đánh giá)
330 học viên
Giảng viên
QCX Academy
Phụ đề Việt chất lượng cao Phụ đề tiếng Anh Bán chạy Đánh giá cao
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Bao gồm phụ đề tiếng Việt, tiếng Anh
6.0 giờ video
71 bài giảng
5 bài quiz
Truy cập vĩnh viễn
Học trên mọi thiết bị
Cập nhật: 28/05/2026

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Mathematics for Quantum Computing
Trigonometry
Complex Numbers
Vectors
Matrices
Probability
Sets
Logic

Yêu cầu

No programming or Computer Science experience needed. You will learn everything you need to know.
Basic high school mathematics knowledge could be useful to understand Mathematics for Quantum Computing.

Đối tượng phù hợp

Students who want to learn about Quantum Computing
Software Developers who want to work in Quantum industry
Anyone curious about Computer Science or Quantum Computing

Nội dung khóa học

9 phần • 71 bài giảng
1 Welcome
2 Curriculum and Objectives of the Course
3 How to Use This Course?
4 Course Setup Lecture
5 Mathematics for Quantum Computing: Why All the Maths?
1 Why Learn Trigonometry?
2 sin, cos
3 tan, cot
4 Unit Circle
5 Degrees and Radians
6 Inverse tan
7 Special Angles and Useful Identities
8 Trigonometry in Quantum Computing
9 Your First Quiz
1 Why Learn Complex Numbers?
2 Quadratic Equations
3 Solving Quadratic Equations (Delta)
4 Imaginary Unit (i)
5 Complex Equations (z = a + ib)
6 Complex Addition and Complex Multiplication
7 Complex Conjugate
8 Complex Numbers in Coordinate System
9 Complex Modulus
10 Euler's Formula
11 Euler's Identity
12 Complex Numbers in Quantum Computing
1 Why Learn Probability?
2 Probabilistic Models
3 Sets
4 Sample Space
5 Bullet Points of Probability
6 Law of Large Numbers
7 Probability in Quantum Computing
1 Why Learn Vectors?
2 What are Scalars?
3 What are Vectors?
4 Scalars v Vectors
5 Vectors in Cartesian Coordinate System
6 Vector Magnitude and Vector Direction
7 Vectors in Polar Coordinate System
8 Vector Addition
9 Vector-Scalar Multiplication
10 Important Properties of Vectors
11 Vector Generalisation
12 Vector Decomposition
13 Shape of Vectors (Rows x Columns)
14 Vector Transpose and Conjugate Transpose
15 Inner Product
16 Comparing Vectors in Coordinate System (Finding Theta)
17 Parallel, Orthogonal, Anti-Parallel Vectors
18 Lineer Combinations
19 Vectors in Quantum Computing
1 Why Learn Matrices?
2 What are Matrices?
3 Matrix Notation
4 Shape of Matrices (Rows x Columns)
5 Why Matrices are so Useful? (Solving Linear Systems of Equations)
6 Matrix Addition
7 Matrix-Scalar Multiplication
8 Matrix-Vector Multiplication
9 Matrix-Matrix Multiplication
10 Matrix Transpose and Matrix Conjugate Transpose
11 Identity Matrix
12 Matrix Inversion
13 Matrices in Quantum Computing
1 About the Assignment
1 Course Wrap Up
2 More Courses about Quantum Computing
3 Working in Quantum Industry
4 Thank you!
1 Bonus Lecture

Giới thiệu khóa học

Welcome to The Complete Mathematics for Quantum Computing Course!


Throughout this course, you will learn everything you need to know about the mathematical concepts for Quantum Computing integrated with an AI Assistant (GPT) specialized on Quantum Computing and specially created for The Complete Introduction to Quantum Computing Course.


Quantum computers are expected to change the technological systems we know and our lives in the upcoming years. Although classical computers and general programming have numerous abilities, some computational problems are extremely hard for them to solve. On the other hand, quantum computers can solve these problems in seconds! If you want to learn about this exciting future technology and prepare yourself for the quantum revolution, this is the perfect course for you!


The course, as one of the parts of The Complete Introduction to Quantum Computing Course, has been designed to cover the important concepts to understand the mathematical side of Quantum Computing. Because this course is taking all learners from beginner level to advance, we will cover every important mathematical topic (Even some high school curriculum) to understand Quantum Computing. We are going to cover Trigonometry, Complex Numbers, Probability (Integrated with Sets and Logic), Vectors and Matrices quite in detail and we are going to solve plenty of real world examples. Also, you will have the chance to develop your practical abilities by solving numerous quizzes and a graded assignment, and earn a worldwide recognized certificate at the end of the course!

While doing all these, you will be able to use the Quantum Computing GPT as your special AI assistant to support your learning journey (This GPT is accessible only to those who register for the course). Using this special Artificial Intelligence assistant, you will be able to get answers to all your questions on Quantum Computation, Quantum Mechanics, Computer Science, Mathematics, and related topics by establishing connections with the Udemy course, allowing you to reinforce the knowledge you have learned in the course.


Throughout the course we will cover:

  • Trigonometry

  • Complex Numbers

  • Probability

  • Sets

  • Logic

  • Vectors

  • Matrices


*You can learn everything you need to know about Quantum Computing from beginner to advanced level via accessing to "The Complete Introduction to Quantum Computing Course" (Currently in development stage)


About Instructor: My name is Arda Hayri Abay. I'm a Quantum Computing Software Developer. I'm currently working as a Section Leader (Instructor) at Stanford University Code in Place. I have completed the nine month-long Quantum Computing and Mathematics program organised by IBM, and taught by the researchers of MIT and the University of Oxford with full-scholarship and 99.1% GPA in high school. During my career, I have worked at Citi Bank as an Early Insight Participant. With three years of teaching experience, I have decided to publish courses on Udemy to share my knowledge with people who have interest and are eager to learn.

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