Quantum Mechanics

Quantum Physics

Quantum Computing

Quantum Machine Learning

Algebra

Calculus

Programming

Python

Electronics

This course sets the correct foundation for learning Quantum Computing and Quantum Machine Learning. Machine Learning, Artificial Intelligence, Physicists, Researchers, Cloud Computing Professionals, Python Programmers, DevOps , Security and Data Science Professionals would cherish this course to join the new era of computing. In this course all the pre-requisites would be covered in depth, so that in the forth coming series of quantum computing and machine learning one can grasp the concepts pretty well

This Quantum Computing Series will have multiple parts and will be launched in segments. It will start from the very basics.

No pre-requisites as such is assumed for this course.

Part 1 will lay down the foundations to study quantum computation.

So part 1 will be mostly quantum mechanics and some mathematical foundations to study this course

From part 2 onward the programming will begin inside using Qiskit library of IBM and gradually more important concepts of quantum computing and quantum machine learning will be unearthed.

Multiple parts of quantum computing series will be launched step wise keeping concepts in certain sections and segregated it will be stepwise progression and gradually building the concepts around quantum computing and quantum machine learning.

This course would build solid foundation for Quantum Computing or anyone who would like to pursue further in this field. This course will introduce you to Quantum Computing/ Programming/ Physics/ Qiskit Framework and Quantum Gates

Please ensure you have completed the Part 1 course which sets the foundational tone for this part 2 series

1

Introduction

This course is the foundational course on Quantum Computing and Quantum Machine Learning. In this course we would study the difference between classical physics Vs Quantum Physics. Quantum Mechanics concepts which we would need to grasp in order to study Quantum Computing and Quantum Machine Learning. The pre-requisites for this course is 10th Grade Maths thats it, rest all gets covered in this course

This course sets the correct foundation to learn Quantum Computing and Quantum Machine Learning. It's a great course for Developers, Researchers, Physicists, Data Scientists and Machine Learning Engineers

1

Pre-Requisites Taken Care

1

Introduction to the course

2

Introduction to Modern Quantum Mechanics

3

Why Quantum Mechanics?

1

Quantumener Blog

1

Introduction to Postulates of Quantum Mechanics

2

Postulate 1 - Quantum Mechanics

3

Postulate 2 - Quantum Mechanics

1

Complex Numbers

2

Matrices - 1

3

Matrices - 2

4

Matrices - 3

5

Matrices - 4

6

Probability

7

Calculus - 1

8

Calculus - 2

9

Calculus - 3

1

Vector Algebra 1

2

Vector Algebra 2

1

Classical Mechanics Vs Quantum Mechanics

2

Heisenberg Principle - 1

3

Heisenberg Principle - 2

4

Schrodinger Equation 1

5

Schrodinger Equation 2

6

Magic Equation - Classical Physics

7

Magic Equation - Quantum Physics

8

Normalization of Wave Function - 1

9

Normalization of Wave Function - 2

10

Expectation Value

11

Dirac Notations - 1

12

Dirac Notations - 2

13

Dirac Notations - 3

14

Dirac Notations - 4

15

Dirac Notations - 5

1

Conclusion

1

Bonus Lecture

Link - https://www.udemy.com/course/quantum-computing-and-quantum-machine-learning-part-2/

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

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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