Quantum Computing and Quantum Machine Learning - Part 2

Introduction to Quantum Principles, Quantum Gates and Quantum Programming

4.60 (69 reviews)
Udemy
platform
English
language
Other
category
instructor
545
students
2 hours
content
Mar 2021
last update
$19.99
regular price

What you will learn

Quantum Mechanics

Quantum Physics

Quantum Computing

Quantum Machine Learning

Algebra

Calculus

Programming

Python

Quantum Gates

Electronics

Machine Learning

Data Science

Artificial Intelligence

Quantum Machine Learning

Physics

Mathematics

Qiskit

Cirq

Quantum Programming

Analytics

Description

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


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


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

Pre-requisites:

Python

10th Grade Mathematics/Physics

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

Content

Introduction

Introduction

Introduction to Part 2 Series

Introduction to Modern Quantum Mechanics

Quantum Computing Blog

Quantumener Blog

Mathematical Foundations

Eigen Values and Eigen Vector

Quantum Principles

Introduction to Superposition
Bit Vs Qubit - Application of Superposition Principle
Application of Superposition Principle
Geometrical Interpretation of Quantum State
Probability Measurement of Quantum State on Arbitrary Basis
Two Qubit System
Entanglement

Quantum Gates

Introduction to Quantum Gates and Quantum NOT Gate
Hadamard Gate
Pauli X Gate (NOT Gate)
Pauli Y Gate (Phase Shift Gate)
Pauli Z Gate (Phase Flip Gate)
Controlled NOT Gate (cNOT Gate)

Bloch Sphere

Bloch Sphere - Part 1
Bloch Sphere - Part 2

Tensor Product

Tensor Product

Quantum Programming with IBM's Qiskit

Qiskit Introduction
Installation of Anaconda
Setting up an IBM QX Account
Practical - 1
Practical - 2
Practical - 3

Conclusion

Conclusion

Screenshots

Quantum Computing and Quantum Machine Learning - Part 2 - Screenshot_01Quantum Computing and Quantum Machine Learning - Part 2 - Screenshot_02Quantum Computing and Quantum Machine Learning - Part 2 - Screenshot_03Quantum Computing and Quantum Machine Learning - Part 2 - Screenshot_04

Reviews

Bill
July 7, 2022
The title of this course is Quantum Computing and Machine Learning. It should just be titled Quantum Computing. I purchased all 4 courses and kept waiting for the Quantum Machine Learning. I just finished the 4th course. There is NO quantum machine learning. No supervised or unsupervised learning, no classification methods, no neural networks. Nothing!!! This is false advertising at its best.
Stefano
June 10, 2021
Theoretical part could be improved; it provides sufficient information but it would be better to extend it. Practice with Qiskit and Python is rather good
Giuliana
January 21, 2021
Very good course for the foundations, anyway we are still far away from approaching Quantum Machine Learning topic.
Dale
January 15, 2021
Phenomenal way of explaining, you have made it look so simple. Great Great way of explaining each and every bit with ease and patience
John
December 30, 2020
You have explained the course in the most simplistic way, fantastic quantum series, please keep it up

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3730802
udemy ID
12/27/2020
course created date
1/17/2021
course indexed date
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