The Complete Mathematics for Quantum Computing Course

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Arda Hayri Abay

6:16:51

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1. Introduction

1. Welcome.mp4

04:35

2. Curriculum and Objectives of the Course.mp4

02:26

3. How to Use This Course.mp4

05:44

4. Mathematics for Quantum Computing Why All the Maths.mp4

02:25

2. Trigonometry

1. Why Learn Trigonometry.mp4

01:42

2. sin, cos.mp4

06:19

3. tan, cot.mp4

09:13

4. Unit Circle.mp4

13:11

5. Degrees and Radians.mp4

06:34

6. Inverse tan.mp4

07:09

7. Special Angles and Useful Identities.mp4

05:36

8. Trigonometry in Quantum Computing.mp4

02:33

9. Your First Quiz.mp4

01:45

10. Checkpoint for Trigonometry.html

3. Complex Numbers

1. Why Learn Complex Numbers.mp4

01:19

2. Quadratic Equations.mp4

09:07

3. Solving Quadratic Equations (Delta).mp4

05:31

4. Imaginary Unit (i).mp4

06:52

5. Complex Equations (z = a + ib).mp4

05:31

6. Complex Addition and Complex Multiplication.mp4

05:40

7. Complex Conjugate.mp4

05:14

8. Complex Numbers in Coordinate System.mp4

03:39

9. Complex Modulus.mp4

03:40

10. Eulers Formula.mp4

05:21

11. Eulers Identity.mp4

01:17

12. Complex Numbers in Quantum Computing.mp4

02:17

13. Checkpoint for Complex Numbers.html

4. Probability

1. Why Learn Probability.mp4

02:13

2. Probabilistic Models.mp4

05:03

3. Sets.mp4

11:59

4. Sample Space.mp4

05:13

5. Bullet Points of Probability.mp4

02:53

6. Law of Large Numbers.mp4

01:59

7. Probability in Quantum Computing.mp4

02:23

8. Checkpoint of Probability.html

5. Vectors

1. Why Learn Vectors.mp4

03:25

2. What are Scalars.mp4

06:34

3. What are Vectors.mp4

07:38

4. Scalars v Vectors.mp4

03:24

5. Vectors in Cartesian Coordinate System.mp4

04:58

6. Vector Magnitude and Vector Direction.mp4

05:17

7. Vectors in Polar Coordinate System.mp4

07:28

8. Vector Addition.mp4

08:50

9. Vector-Scalar Multiplication.mp4

05:40

10. Important Properties of Vectors.mp4

02:43

11. Vector Generalisation.mp4

06:02

12. Vector Decomposition.mp4

08:53

13. Shape of Vectors (Rows x Columns).mp4

07:42

14. Vector Transpose and Conjugate Transpose.mp4

08:34

15. Inner Product.mp4

07:36

16. Comparing Vectors in Coordinate System (Finding Theta).mp4

09:18

17. Parallel, Orthogonal, Anti-Parallel Vectors.mp4

02:58

18. Lineer Combinations.mp4

04:54

19. Vectors in Quantum Computing.mp4

02:07

20. Checkpoint of Vectors.html

6. Matrices

1. Why Learn Matrices.mp4

03:25

2. What are Matrices.mp4

02:28

3. Matrix Notation.mp4

04:47

4. Shape of Matrices (Rows x Columns).mp4

07:42

5. Why Matrices are so Useful (Solving Linear Systems of Equations).mp4

10:27

6. Matrix Addition.mp4

08:34

7. Matrix-Scalar Multiplication.mp4

06:21

8. Matrix-Vector Multiplication.mp4

13:34

9. Matrix-Matrix Multiplication.mp4

09:56

10. Matrix Transpose and Matrix Conjugate Transpose.mp4

08:22

11. Identity Matrix.mp4

09:20

12. Matrix Inversion.mp4

04:04

13. Matrices in Quantum Computing.mp4

03:15

14. Checkpoint of Matrices.html

7. Assignment

1. About the Assignment.mp4

02:54

2. Mathematics for Quantum Computing.html

8. Course Wrap Up

1. Course Wrap Up.mp4

02:26

2. More Courses about Quantum Computing.mp4

04:24

3. Working in Quantum Industry.mp4

02:54

4. Thank you!.mp4

01:34

Description

Learn every mathematical concept for Quantum Computing in one complete course!

What You'll Learn?

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

Who is this for?

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

What You Need to Know?

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.

More details

Description
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.

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!

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.
Who this course is for:
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

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Arda Hayri Abay

Instructor's Courses

I'm an inquiring Quantum Computing Software Developer. I'm currently working as a Section Leader (Instructor) at Stanford University CiP. 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. 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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