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Quantum Computing with Qiskit Ultimate Masterclass

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Quantum Computing with Qiskit Ultimate Masterclass, available at $64.99, has an average rating of 4.11, with 268 lectures, 7 quizzes, based on 272 reviews, and has 14274 subscribers.

You will learn about Learn the fundamentals of mathematics and physics behind Quantum Computing Explore core concepts of Quantum Computing – Superposition, Interference and Entanglement Learn about Quantum Gates and construct Quantum Circuits with IBM Qiskit Learn Quantum Gate decomposition and Quantum Circuit Optimization of large Quantum Circuits Learn Quantum Teleportation and Superdense Coding with their implementation using IBM Qiskit Run your Quantum Programs on a real IBM Quantum Computer Learn and gain background to think and analyze about Quantum Algorithms Gain Confidence to tackle Quantum Programming Challenges organized by Quantum Computing Companies This course is ideal for individuals who are Beginners who are curious to know about Quantum Computing or High School students with basic background on mathematics and Python programming or University students who want to learn and apply Quantum Computing or Industry professionals who want to up-skill themselves with Quantum Computing or Technology enthusiasts who want to explore the world of Quantum Computing or Business professionals who want to leverage the power of quantum computing in their decision making process or Solopreneurs and Entrepreneurs who want to enter into this cutting-edge field and provide services to others or Anyone who want to start their career in Quantum Computing or Machine Learning, Deep Learning or AI professionals who want to up-skill themselves with Quantum Computing It is particularly useful for Beginners who are curious to know about Quantum Computing or High School students with basic background on mathematics and Python programming or University students who want to learn and apply Quantum Computing or Industry professionals who want to up-skill themselves with Quantum Computing or Technology enthusiasts who want to explore the world of Quantum Computing or Business professionals who want to leverage the power of quantum computing in their decision making process or Solopreneurs and Entrepreneurs who want to enter into this cutting-edge field and provide services to others or Anyone who want to start their career in Quantum Computing or Machine Learning, Deep Learning or AI professionals who want to up-skill themselves with Quantum Computing.

Enroll now: Quantum Computing with Qiskit Ultimate Masterclass

Summary

Title: Quantum Computing with Qiskit Ultimate Masterclass

Price: $64.99

Average Rating: 4.11

Number of Lectures: 268

Number of Quizzes: 7

Number of Published Lectures: 268

Number of Published Quizzes: 7

Number of Curriculum Items: 275

Number of Published Curriculum Objects: 275

Number of Practice Tests: 2

Number of Published Practice Tests: 2

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • Learn the fundamentals of mathematics and physics behind Quantum Computing
  • Explore core concepts of Quantum Computing – Superposition, Interference and Entanglement
  • Learn about Quantum Gates and construct Quantum Circuits with IBM Qiskit
  • Learn Quantum Gate decomposition and Quantum Circuit Optimization of large Quantum Circuits
  • Learn Quantum Teleportation and Superdense Coding with their implementation using IBM Qiskit
  • Run your Quantum Programs on a real IBM Quantum Computer
  • Learn and gain background to think and analyze about Quantum Algorithms
  • Gain Confidence to tackle Quantum Programming Challenges organized by Quantum Computing Companies

Who Should Attend

  • Beginners who are curious to know about Quantum Computing
  • High School students with basic background on mathematics and Python programming
  • University students who want to learn and apply Quantum Computing
  • Industry professionals who want to up-skill themselves with Quantum Computing
  • Technology enthusiasts who want to explore the world of Quantum Computing
  • Business professionals who want to leverage the power of quantum computing in their decision making process
  • Solopreneurs and Entrepreneurs who want to enter into this cutting-edge field and provide services to others
  • Anyone who want to start their career in Quantum Computing
  • Machine Learning, Deep Learning or AI professionals who want to up-skill themselves with Quantum Computing

Target Audiences

  • Beginners who are curious to know about Quantum Computing
  • High School students with basic background on mathematics and Python programming
  • University students who want to learn and apply Quantum Computing
  • Industry professionals who want to up-skill themselves with Quantum Computing
  • Technology enthusiasts who want to explore the world of Quantum Computing
  • Business professionals who want to leverage the power of quantum computing in their decision making process
  • Solopreneurs and Entrepreneurs who want to enter into this cutting-edge field and provide services to others
  • Anyone who want to start their career in Quantum Computing
  • Machine Learning, Deep Learning or AI professionals who want to up-skill themselves with Quantum Computing

**Please note that more lecture videos, quizzes, and LaTeX formatted clean notes are being uploaded in the course**

Fascinated by Quantum Computing and it’s science fiction like capabilities? Then you arrived at the right place, this course is designed for you!

Quantum Computing is the intersection of computer science, mathematics and quantum physics which utilizes the phenomena of quantum mechanics to perform computations which classical computers cannot perform. Quantum computers are faster than classical computers and provides significant speedup in different kinds of algorithms such as searching data elements or breaking RSA encryption systems!

It is expected that the Quantum Computing industry is going to grow at a rapid rate from around USD 500 million in 2021 to nearly USD 1800 million (1.8 billion!) by 2026. Various industries such as banking, finance, space technology, defense, healthcare, pharmaceuticals, chemicals, energy, power, transportation, logistics, academia and government are going to do well out of this cutting-edge technology.

Several countries such as USA, China, Japan, UK, France, Germany, Spain, South Korea, India and Canada are investing large amounts of finances in the field of quantum computing due to its promising potential which is also going to create more jobs in this field. There is a huge talent deficit in the field of quantum computing and therefore much efforts and investments (in billions) have been put by various industries working on quantum computing through education and research. Some of the prominent players in quantum computing includes – IBM, Microsoft, Google, Intel, D-Wave, Xanadu Quantum Technologies, Rigetti Computing, Zapata Computing, Honeywell, IonQ, Cambridge Quantum, Oxford Quantum Circuits and many more!

This is a masterclass hands-on (practical coding) and theoretical course on quantum computing which will introduce you to the fundamentals of quantum computing and you will implement several important quantum algorithms which has practical real life use cases!

Just as Deep Learning, Machine Learning, Data Science or Artificial Intelligence became popular a few years back due to the availability of data sets and technology (GPUs and TPUs), in a very similar manner, the field quantum computing is witnessing rapid growth and is going to have a major impact in your lives through the release of products or services by industries. This is the time to make yourself future proof and remain ahead of others!

The course has been divided into the following parts which has a coherent structure to help you navigate according to your requirements:

  • Part 1 – Introduction to Classical Computing

  • Part 2 – Mathematical Pre-requisites for Quantum Computing – Trigonometry, Complex Numbers, Linear Algebra and Probability

  • Part 3 – Quantum Mechanics for Quantum Computing

  • Part 4 – Introduction to Quantum Computing

  • Part 5 – Single Qubit Quantum Gates

  • Part 6 – Multi Qubit Quantum Gates

  • Part 7 – Constructing Quantum Circuits using Quantum Gates

  • Part 8 – Quantum Teleportation

  • Part 9 – Quantum Superdense Coding

  • Part 10 – Deutsch’s Algorithm

  • Part 11 – Deutsch-Jozsa Algorithm

  • Part 12 – Bernstein-Vazirani Algorithm

  • Part 13 – Simon’s Algorithm

  • Part 14 – Grover’s Search Algorithm

  • Part 15 – Quantum Fourier Transform (QFT)

  • Part 16 – Quantum Phase Estimation (QPE)

  • Part 17 – Shor’s Algorithm

This course is exciting and full of practical exercises to help you reinforce the concepts which you learn in each of the topics. You will be utilizing the IBM Qiskit and Python platform to construct the quantum circuits and various algorithms.

I am feeling very exuberant about Quantum Computing as it has already started to disrupt industries and research. I can’t wait to see you inside the course! I hope to see you soon in the course!

Srinjoy Ganguly
Founder & CEO
AdroitERA (AERA)

Course Curriculum

Chapter 1: Course Overview

Lecture 1: Why Learn Quantum Computing – The Motivation

Lecture 2: Applications of Quantum Computing

Lecture 3: Quantum Computing vs Classical Computing

Lecture 4: Course Introduction and Syllabus

Lecture 5: Course FAQs – Important

Chapter 2: Google Colab/ Python and IBM Qiskit Environment Setup

Lecture 1: Installing Anaconda IDE

Lecture 2: Creating an Environment with Anaconda IDE

Lecture 3: Installing IBM Qiskit on Anaconda

Chapter 3: —-Part 1 Introduction to Classical Computing—-

Lecture 1: Classical Computing Introduction

Chapter 4: Introduction to Classical Computing

Lecture 1: Introducing Classical Computing Hardware

Lecture 2: Digital Logic and Operations

Lecture 3: Introducing Classical Logic Gates

Lecture 4: Constructing Classical Circuits

Lecture 5: Complexity of Algorithms

Chapter 5: —Part 2 Mathematics for Quantum Computing—

Lecture 1: Mathematics for Quantum Computing

Chapter 6: Linear Algebra

Lecture 1: Introducing Vectors and Vector Spaces

Lecture 2: Dot Products and Inner Products

Lecture 3: Euclidean Norm

Lecture 4: Properties of Hilbert Spaces

Lecture 5: Matrices and Transformations

Lecture 6: Arithmetic of Matrices

Lecture 7: Outer Products

Lecture 8: Eigenvalues & Eigenvectors of an Operator

Lecture 9: Inverse of Matrix & Unitary Transformations

Lecture 10: Determinant, Trace & Expectation Value of an Operator

Lecture 11: Tensor Products

Lecture 12: Linear Algebra Latex Notes

Lecture 13: Linear Algebra Assignment

Chapter 7: Trigonometry & Complex Numbers

Lecture 1: 2D & 3D Cartesian Coordinate System

Lecture 2: Polar Coordinate System

Lecture 3: Complex Numbers & Complex Plane

Lecture 4: Complex Numbers & Trigonometry Assignment

Chapter 8: Probability

Lecture 1: Introduction to Probability & its Axioms

Lecture 2: Random Variables, Expectations & Variances

Lecture 3: Law of Large Numbers

Chapter 9: —Part 3 Quantum Mechanics—

Lecture 1: Overview of Quantum Mechanics

Chapter 10: Overview of Quantum Mechanics

Lecture 1: Primary Concepts of Quantum Mechanics

Lecture 2: Interference, Young's Double Slit Experiment & Wave-Particle Duality

Lecture 3: Wavefunctions and Hamiltonians

Lecture 4: The Schrodinger Equation

Lecture 5: Postulates of Quantum Mechanics

Lecture 6: Quantum Mechanics Assignment

Chapter 11: —Part 4 Introduction to Quantum Computing—

Lecture 1: Introduction to Quantum Computing

Chapter 12: Introduction to Quantum Computing

Lecture 1: Quantum Bits (Qubits) – Single Qubits, Bra-Ket Notation & Superposition

Lecture 2: Visualizing Single Qubits – The Bloch Sphere & Basis States

Lecture 3: Mathematics behind Bloch Sphere

Lecture 4: Quantum Measurements

Chapter 13: —Part 5 Single Qubit Quantum Gates—

Lecture 1: Single Qubit Quantum Gates

Chapter 14: Single Qubit Quantum Logic Gates

Lecture 1: Pauli I Gate – Quantum Identity Gate

Lecture 2: Pauli X Gate – Quantum X Gate

Lecture 3: Pauli X Gate Eigenvalues and Eigenvectors

Lecture 4: Pauli Y Gate – Quantum Y Gate

Lecture 5: Pauli Y Gate Eigenvalues and Eigenvectors

Lecture 6: Pauli Z Gate – Quantum Z Gate

Lecture 7: Pauli Z Gate Eigenvalues & Eigenvectors

Lecture 8: Hadamard Gate – Quantum H Gate

Lecture 9: Quantum S & S-Dagger Gate

Lecture 10: Quantum T & T-Dagger Gate

Lecture 11: Quantum Rotation Gates – Rx, Ry and Rz Gates

Lecture 12: Universal Quantum Gates

Chapter 15: Qiskit Basics & Single Qubit Quantum Gates in Qiskit

Lecture 1: Qiskit Basics – Importing Libraries, Checking Versions and Backends

Lecture 2: Pauli X Gate in Qiskit

Lecture 3: Pauli Y & Pauli Z Gates in Qiskit

Lecture 4: S, S Dagger, T & T Dagger Gates in Qiskit

Lecture 5: Rx, Ry & Rz Rotation Gates in Qiskit

Lecture 6: Qiskit Basics & Single Qubit Quantum Logic Gates Jupyter Notebook

Chapter 16: —Part 6 Multi Qubit Quantum Gates—

Lecture 1: Multi Qubit Quantum Gates

Chapter 17: Multi Qubit Quantum Gates

Lecture 1: Quantum CX/CNOT Gate

Lecture 2: Quantum CZ or CPHASE Gate

Lecture 3: Quantum SWAP Gate

Lecture 4: The Bell States

Lecture 5: Quantum CCNOT/CCX/Toffoli Gate

Lecture 6: Quantum CSWAP/Fredkin Gate

Lecture 7: Hadamard Gate Applied to n Qubits

Chapter 18: Qiskit Multi Qubit Quantum Gates

Lecture 1: CNOT, CZ & CH Quantum Gates in Qiskit

Lecture 2: Quantum SWAP Gate in Qiskit

Lecture 3: The Bell State in Qiskit

Instructors

Rating Distribution

  • 1 stars: 9 votes
  • 2 stars: 9 votes
  • 3 stars: 46 votes
  • 4 stars: 91 votes
  • 5 stars: 117 votes

Frequently Asked Questions


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


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