Quantum Computing Made Simple

Quantum Computing Made Simple, available at $54.99, has an average rating of 4.35, with 39 lectures, 34 quizzes, based on 63 reviews, and has 350 subscribers.

You will learn about Quantum computing Fundamentals of Quantum physics Complex numbers for Quantum computing Linear algebra for Quantum computing Python and Qiskit for Quantum Computing This course is ideal for individuals who are Developers curious about quantum computing or Beginner Quantum Programmers or Data Scientists who are interested in quantum computing It is particularly useful for Developers curious about quantum computing or Beginner Quantum Programmers or Data Scientists who are interested in quantum computing.

Enroll now: Quantum Computing Made Simple

Summary

Title: Quantum Computing Made Simple

Price: $54.99

Average Rating: 4.35

Number of Lectures: 39

Number of Quizzes: 34

Number of Published Lectures: 39

Number of Published Quizzes: 34

Number of Curriculum Items: 73

Number of Published Curriculum Objects: 73

Original Price: $29.99

Quality Status: approved

Status: Live

What You Will Learn

Quantum computing
Fundamentals of Quantum physics
Complex numbers for Quantum computing
Linear algebra for Quantum computing
Python and Qiskit for Quantum Computing

Who Should Attend

Developers curious about quantum computing
Beginner Quantum Programmers
Data Scientists who are interested in quantum computing

Target Audiences

Developers curious about quantum computing
Beginner Quantum Programmers
Data Scientists who are interested in quantum computing

Quantum computing is the most modern field in programming. Is it difficult to study this science? It depends on how the knowledge is presented. In this course you will study quantum computing the quickest and simplest way.

Don’t worry if you don’t have enough knowledge of math, like linear algebra or complex numbers. This course will explain everything you need, so that quantum computing will be as simple for you as school arithmetic.

Also you will understand necessary basics from quantum physics needed for creating quantum algorithms. You will learn what a qubit and superposition are, get acquainted with the concept of measurement.

Not only will you learn about such amazing things as superposition and quantum entanglement, but you will understand what physical laws govern it, and you will also learn how to use the mathematical tools that can easily describe these complex processes. But most importantly, you will learn how to apply these phenomena of quantum physics in programming. Taking this course, you will first understand how to move from quantum physics to mathematics, and then from mathematics to programming.

Becoming a quantum programmer is a long road, but the main thing is to take the first step. Let this course be your first step!

Course Curriculum

Chapter 1: What is a qubit?

Lecture 1: Qubit

Lecture 2: Representation of a qubit state

Chapter 2: Superposition and measurement

Lecture 1: Superposition and measurement

Lecture 2: Qubit as a vector

Lecture 3: Physical implementations of quantum computers

Chapter 3: Complex numbers for qubits

Lecture 1: Complex numbers – part 1

Lecture 2: Complex numbers – part 2

Lecture 3: Complex numbers – part 3

Lecture 4: Complex numbers – part 4

Chapter 4: Linear algebra for qubits

Lecture 1: Hilbert space

Lecture 2: Hilbert space – part 2

Lecture 3: Basis

Chapter 5: Matrices are everywhere!

Lecture 1: Matrix operations

Lecture 2: Tensor product

Lecture 3: Pure and mixed states

Lecture 4: Density matrix

Lecture 5: Hermitian matrix

Lecture 6: Unitary matrix

Chapter 6: Operations with qubits

Lecture 1: Hadamard gate

Lecture 2: Pauli matrices. X gate

Lecture 3: Y gate

Lecture 4: Z gate

Chapter 7: 3D representation of a qubit state

Lecture 1: Bloch sphere – part 1

Lecture 2: Bloch sphere – part 2

Chapter 8: Interactions between qubits

Lecture 1: CNOT

Lecture 2: Quantum entanglement

Lecture 3: Bell state

Lecture 4: Swap operation

Lecture 5: No-cloning theorem

Chapter 9: Python for quantum computing

Lecture 1: Why Qiskit?

Lecture 2: Colab for researchers

Lecture 3: How to code using Jupyter Notebook

Lecture 4: Write a program using Qiskit

Lecture 5: Bell state in Qiskit

Chapter 10: Quantum teleportation: how is this even possible?

Lecture 1: Quantum teleportation – part 1

Lecture 2: Quantum teleportation – part 2

Lecture 3: Quantum teleportation – part 3

Lecture 4: Quantum teleportation – part 4

Lecture 5: Quantum teleportation in the IBM cloud

Instructors

Sergei Shirkin
Quantum Programmer, AI Specialist, Data Scientist

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 6 votes
4 stars: 15 votes
5 stars: 41 votes

Frequently Asked Questions

How long do I have access to the course materials?

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

Can I take my courses with me wherever I go?

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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