Quantum Computing and Quantum Machine Learning Part 2

Introduction to Quantum Principles, Quantum Gates and Quantum Programming
Quantum Computing and Quantum Machine Learning Part 2
File Size :
883.27 MB
Total length :
2h 1m

Category

Instructor

Rushabh Doshi

Language

Last update

Last updated 3/2021

Ratings

3.7/5

Quantum Computing and Quantum Machine Learning Part 2

What you’ll 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

Quantum Computing and Quantum Machine Learning Part 2

Requirements

10th Grade Maths
Basic Python Programming
Quantum Computing and Quantum Machine Learning – Part 1 Course in Udemy

Description

Please ensure you have completed the Part 1 course which sets the foundational tone for this part 2 seriesThis 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 wellThis 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 courseFrom 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 GatesThis 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 GatesPre-requisites:Python10th Grade Mathematics/PhysicsPlease ensure you have completed the Part 1 course which sets the foundational tone for this part 2 series

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Introduction to Part 2 Series

Lecture 2 Introduction to Modern Quantum Mechanics

Section 3: Quantum Computing Blog

Lecture 3 Quantumener Blog

Section 4: Mathematical Foundations

Lecture 4 Eigen Values and Eigen Vector

Section 5: Quantum Principles

Lecture 5 Introduction to Superposition

Lecture 6 Bit Vs Qubit – Application of Superposition Principle

Lecture 7 Application of Superposition Principle

Lecture 8 Geometrical Interpretation of Quantum State

Lecture 9 Probability Measurement of Quantum State on Arbitrary Basis

Lecture 10 Two Qubit System

Lecture 11 Entanglement

Section 6: Quantum Gates

Lecture 12 Introduction to Quantum Gates and Quantum NOT Gate

Lecture 13 Hadamard Gate

Lecture 14 Pauli X Gate (NOT Gate)

Lecture 15 Pauli Y Gate (Phase Shift Gate)

Lecture 16 Pauli Z Gate (Phase Flip Gate)

Lecture 17 Controlled NOT Gate (cNOT Gate)

Section 7: Bloch Sphere

Lecture 18 Bloch Sphere – Part 1

Lecture 19 Bloch Sphere – Part 2

Section 8: Tensor Product

Lecture 20 Tensor Product

Section 9: Quantum Programming with IBM’s Qiskit

Lecture 21 Qiskit Introduction

Lecture 22 Installation of Anaconda

Lecture 23 Setting up an IBM QX Account

Lecture 24 Practical – 1

Lecture 25 Practical – 2

Lecture 26 Practical – 3

Section 10: Conclusion

Lecture 27 Conclusion

Section 11: Part 3 is Out

Lecture 28 Part 3 is Launched

Developers,Physicist,Data Scientist,Machine Learning Engineer,Artificial Intelligence,Engieer,IT,Python Programmers,Data Scientists,Researchers

Course Information:

Udemy | English | 2h 1m | 883.27 MB
Created by: Rushabh Doshi

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