Quantum Computing from Beginner to Expert

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Calvin Tang

3:45:26

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1. Fundamentals Introduction of Quantum Computing

1.1 Lecture 1 Introduction.pdf

1. Introduction.mp4

03:58

2.1 Lecture 2 A Brief History of Quantum Computing.pdf

2. A Brief History of Quantum Computing.mp4

08:01

3.1 Lecture 3 Main Application Areas.pdf

3. Main Application Areas.mp4

01:28

2. Fundamentals Complex Numbers and Linear Algebra

1.1 Lecture 1 Complex Numbers.pdf

1. Complex Numbers.mp4

06:13

2.1 Lecture 2 Relationship between Complex Numbers and Vectors.pdf

2. Relationship between Complex Numbers and Vectors.mp4

02:12

3.1 Lecture 3 Hilbert Space and Euclidean Space Conversion.pdf

3. Hilbert Space and Euclidean Space Conversion.mp4

01:33

4.1 Lecture 4 Comparison of Matrix Types.pdf

4. Comparison of Matrix Types.mp4

01:28

5.1 Lecture 5 Symmetric Matrix and Hermitian Matrix.pdf

5. Symmetric Matrix and Hermitian Matrix.mp4

01:38

6.1 Lecture 6 Orthogonal Matrix and Unitary Matrix.pdf

6. Orthogonal Matrix and Unitary Matrix.mp4

01:33

3. Fundamentals Quantum Bits (Qubits)

1.1 Lecture 1 Dirac notation.pdf

1. Dirac notation.mp4

01:41

2.1 Lecture 2 Single Qubit.pdf

2. Single Qubit.mp4

03:06

3.1 Lecture 3 Multi-Qubit System.pdf

3. Multi-Qubit System.mp4

01:27

4. Fundamentals Bloch Sphere

1.1 Lecture 1 Introduction.pdf

1. Introduction.mp4

01:41

2.1 Lecture 2 Global Phase.pdf

2. Global Phase.mp4

01:04

3.1 Lecture 3 Dimension Reduction.pdf

3. Dimension Reduction.mp4

01:05

4.1 Lecture 4 Half Angles.pdf

4. Half Angles.mp4

01:12

5.1 Lecture 5 Bloch Sphere.pdf

5. Bloch Sphere.mp4

00:29

5. Fundamentals Basic Logic Gates for Single Qubit

1.1 Lecture 1 Unitary Transformation.pdf

1. Unitary Transformation.mp4

01:08

2.1 Lecture 2 Hermitian Conjugate Operator - Common Formulas.pdf

2. Hermitian Conjugate Operator - Common Formulas.mp4

01:03

3.1 Lecture 3 How to calculate the unitary transformation matrix for a single qubit.pdf

3. How to calculate the unitary transformation matrix for a single qubit.mp4

01:53

4.1 Lecture 4 Hadamard Gate.pdf

4. Hadamard Gate.mp4

01:50

5.1 Lecture 5 Pauli Operator.pdf

5. Pauli Operator.mp4

01:43

6.1 Lecture 6 Pauli-X Gate.pdf

6. Pauli-X Gate.mp4

02:12

7.1 Lecture 7 Pauli-Y Gate.pdf

7. Pauli-Y Gate.mp4

00:48

8.1 Lecture 8 Pauli-Z Gate.pdf

8. Pauli-Z Gate.mp4

00:45

6. Fundamentals Rotation Logic Gates for Single Qubit

1.1 Lecture 1 Exponential Function of Matrices.pdf

1. Exponential Function of Matrices.mp4

01:52

2.1 Lecture 2 Generator - Pauli Matrices.pdf

2. Generator - Pauli Matrices.mp4

07:02

3.1 Lecture 3 Density Operator (Matrix).pdf

3. Density Operator (Matrix).mp4

03:51

4.1 Lecture 4 3D Rotations in Four-Dimensional Space.pdf

4. 3D Rotations in Four-Dimensional Space.mp4

01:12

5.1 Lecture 5 RX Gate.pdf

5. RX Gate.mp4

02:03

6.1 Lecture 6 RY Gate.pdf

6. RY Gate.mp4

03:59

7.1 Lecture 7 RZ Gate.pdf

7. RZ Gate.mp4

03:27

7. Fundamentals Multi-Qubit Logic Gates

1.1 Lecture 1 Tensor Product.pdf

1. Tensor Product.mp4

05:14

2.1 Lecture 2 How to calculate the unitary transformation matrix for a two-qubit system.pdf

2. How to calculate the unitary matrix for a two-qubit system.mp4

02:40

3.1 Lecture 3 CNOT Gate.pdf

3. CNOT Gate.mp4

02:31

4.1 Lecture 4 SWAP Gate .pdf

4. SWAP Gate.mp4

02:22

5.1 Lecture 5 How to calculate the unitary transformation matrix for a three-qubit system.pdf

5. How to calculate the unitary matrix for a three-qubit system.mp4

02:49

6.1 Lecture 6 Toffoli (CCNOT) Gate.pdf

6. Toffoli (CCNOT) Gate.mp4

03:12

7.1 Lecture 7 Fredkin (CSWAP) Gate.pdf

7. Fredkin (CSWAP) Gate.mp4

03:45

8. Fundamentals Quantum Measurement

1.1 Lecture 1 Measurement and Collapse.pdf

1. Measurement and Collapse.mp4

01:56

2.1 Lecture 2 The Hermitian adjoint operator and common formulas.pdf

2. The Hermitian adjoint operator and common formulas.mp4

00:28

3.1 Lecture 3 Normal Matrix.pdf

3. Normal Matrix.mp4

02:30

4.1 Lecture 4 Completeness Equation.pdf

4. Completeness Equation.mp4

00:55

5.1 Lecture 5 Projection Operator.pdf

5. Projection Operator.mp4

02:54

6.1 Lecture 6 Projective Measurements.pdf

6. Projective Measurements.mp4

04:39

7.1 Lecture 7 Measurement of a Single Qubit.pdf

7. Measurement of a Single Qubit.mp4

03:57

8.1 Lecture 8 Measurement of a Two-qubit System.pdf

8. Measurement of a Two-qubit System.mp4

02:52

9. Fundamentals Quantum Circuits

1.1 Lecture 1 Introduction to Quantum Circuits.pdf

1. Introduction to Quantum Circuits.mp4

01:12

2.1 Lecture 2 X Gate, Y Gate, Z Gate, H Gate.pdf

2. X Gate, Y Gate, Z Gate, H Gate.mp4

02:23

3.1 Lecture 3 RX Gate, RY Gate, RZ Gate.pdf

3. RX Gate, RY Gate, RZ Gate.mp4

01:42

4.1 Lecture 4 CNOT Gate, SWAP Gate, Toffoli Gate.pdf

4. CNOT Gate, SWAP Gate, Toffoli Gate.mp4

01:46

10. Algorithms Hadamard Test SWAP Test

1.1 Lecture 1 Quantum entanglement.pdf

1. Quantum entanglement.mp4

07:40

2.1 Lecture 2 Hadamard Test - Real part.pdf

2. Hadamard Test - Real part.mp4

06:05

3.1 Lecture 3 Hadamard Test Imaginary part.pdf

3. Hadamard Test Imaginary part.mp4

01:29

4.1 Lecture 4 SWAP Test.pdf

4. SWAP Test.mp4

05:36

11. Algorithms Amplitude Amplification

1.1 Lecture 1 2D Geometric Transformations .pdf

1. 2D Geometric Transformations.mp4

05:23

2.1 Lecture 2 Transformation in Arbitrary Dimensions.pdf

2. Transformation in Arbitrary Dimensions.mp4

03:31

3.1 Lecture 3 Introduction to Amplitude Amplification.pdf

3. Introduction to Amplitude Amplification.mp4

01:34

4.1 Lecture 4 Amplitude Amplification Operator .pdf

4. Amplitude Amplification Operator.mp4

01:42

12. Algorithms Quantum Fourier Transform

1.1 Lecture 1 Fourier series And Fourier transform.pdf

1. Fourier series And Fourier transform.mp4

04:40

2.1 Lecture 2 FT, DFT, IDFT.pdf

2. Fourier Transform, DFT, IDFT.mp4

03:03

3.1 Lecture 3 Quantum Fourier Transform.pdf

3. Quantum Fourier Transform.mp4

07:02

13. Algorithms Quantum Phase Estimation

1.1 Lecture 1 Introduction.pdf

1. Introduction.mp4

02:45

2.1 Lecture 2 Quantum Circuit.pdf

2. Quantum Circuit.mp4

01:32

3.1 Lecture 3 Quantum Phase Estimation - Steps.pdf

3. Quantum Phase Estimation - Steps.mp4

04:31

14. Algorithms Quantum Arithmetic Operations

1.1 Lecture 1 Logic Gates.pdf

1. Logic Gates.mp4

04:00

2.1 Lecture 2 One-bit Adder.pdf

2. One-bit Adder.mp4

03:39

3.1 Lecture 3 Multi-bit Adder.pdf

3. Multi-bit Adder.mp4

05:05

4.1 Lecture 4 Quantum Subtractor,Multiplier,Divider.pdf

4. Quantum Subtractor,Multiplier,Divider.mp4

02:11

15. Algorithms HHL Algorithm

1.1 Lecture 1 Overview of HHL Quantum Algorithm.pdf

1. Overview of HHL Quantum Algorithm.mp4

02:32

2.1 Lecture 2 HHL Algorithm Quantum Circuit.pdf

2. HHL Algorithm Quantum Circuit.mp4

05:11

16. Algorithms Deutsch-Josza Algorithm

1.1 Lecture 1 DeutschJozsa Problem.pdf

1. DeutschJozsa Problem.mp4

01:46

2.1 Lecture 2 Oracle - Quantum Circuit.pdf

2. Oracle - Quantum Circuit.mp4

03:15

3.1 Lecture 3 Oracle - Simplification of Quantum Circuits.pdf

3. Oracle - Simplification of Quantum Circuits.mp4

01:42

4.1 Lecture 4 Deutsch Algorithm.pdf

4. Deutsch Algorithm.mp4

02:57

5.1 Lecture 5 Deutsch-Jozsa Algorithm.pdf

5. Deutsch-Jozsa Algorithm.mp4

01:59

17. Algorithms Grover Algorithm

1.1 Lecture 1 Reflection and Mirror Transformation.pdf

1. Reflection and Mirror Transformation.mp4

00:33

2.1 Lecture 2 Grovers Search Algorithm.pdf

2. Grovers Search Algorithm.mp4

04:45

3.1 Lecture 3 Grover Algorithm - Two Qubits.pdf

3. Grover Algorithm - Two Qubits.mp4

02:22

4.1 Lecture 4 Grover Algorithm - N Qubits.pdf

4. Grover Algorithm - N Qubits.mp4

02:32

Description

Learning Quantum Computing through Linear Algebra

What You'll Learn?

Introduction of Quantum Computing
Bloch Sphere
Basic Logic Gates for Single Qubit
Rotation Logic Gates for Single Qubit
Multi-Qubit Logic Gates
Quantum Measurement
Quantum Circuits
Algorithms： Amplitude Amplification
Algorithms： Quantum Fourier Transform
Algorithms： Quantum Phase Estimation
Algorithms： Quantum Arithmetic Operations
Algorithms： HHL Algorithm
Algorithms： Deutsch-Josza Algorithm
Algorithms： Grover Algorithm

Who is this for?

Students who want to learn about Quantum Computing

Quantum Computing enthusiasts

What You Need to Know?

High school level mathematics: Complex numbers, linear algebra, probability, statistics, & boolean logic

More details

Description
This comprehensive course is suitable for a wide range of learners, from those who are just beginning to explore quantum computing to experts in the field. Our aim is to cover every aspect of quantum computing, starting from the basics and progressing to complex application scenarios. Unlike other courses, we place a strong emphasis on learning quantum computing through linear algebra and provide detailed matrices and vector calculations for key concepts, allowing you to develop a solid understanding of the subject matter.
The course is divided into two main parts, each of which is designed to provide learners with a deep understanding of quantum computing:
Basic part, which includes:
An overview of quantum computing, quantum bits, single quantum bit logical gates, multi-quantum bit logical gates, quantum measurement, quantum circuits, and more.
Algorithm part, which includes:
The Hadamard Test, SWAP Test, amplitude amplification, quantum Fourier transform, quantum phase estimation, quantum arithmetic, the HHL algorithm, Deutsch-Josza algorithm, Grover algorithm, and more.
But that's not all - we're continually updating and improving the course to include even more valuable information, such as:
Programming part, which includes:
Examples of basic logic gates based on Qiskit, as well as learning examples of algorithms.
Machine learning part, which includes:
Algorithms and implementations of quantum machine learning and quantum artificial intelligence.
Application part, which includes:
The application of quantum computing technology in finance and other fields, allowing you to gain a broader understanding of how quantum computing is transforming industries and changing the face of technology.

Who this course is for:
Students who want to learn about Quantum Computing
Quantum Computing enthusiasts

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I have extensive experience in various technologies including Artificial Intelligence, Machine Learning, Quantum Computing and Cloud Computing. My passion lies in AI/ML and cloud-native architecture, and I aim to make technology easy to understand.To achieve this goal, I break down the learning curve by building practical examples such as SDKs and solutions. Additionally, I offer online courses to help people get started building AI applications such as computer vision, NLP, ASR/TTS, and vector search engines.In my free time, I explore emerging areas of technology such as biomedicine powered by AI, quantum computing, AR/VR (VTuber), and embedded systems. I also contribute to open-source projects, including:AI: github - mymagicpower/AIASBiology Computing: github - mymagicpower/bio-computingI invite you to join me on this journey of exploring and sharing the fascinating world of new emerging technology. Enjoy learning!Best regards,Calvin Tang

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