Quantum Computing: Theory to Simulation and Programming

Quantum Computing: Theory to Simulation and Programming, available at $54.99, has an average rating of 4.15, with 44 lectures, based on 175 reviews, and has 1035 subscribers.

You will learn about Use a real Quantum Computer to solve real world problems Basics of Quantum Computing Basics of Quantum Physics Basics of Cirq programming Basics of Dwave-Ocean-SDK Quantum implementation of Logic gates Basic Combinatorial Optimisation techniques This course is ideal for individuals who are Programmers curious about using Quantum Computing for Machine Learning or Aspiring Quantum Programmers or Programmers curious to take part in the Quantum Computing revolution It is particularly useful for Programmers curious about using Quantum Computing for Machine Learning or Aspiring Quantum Programmers or Programmers curious to take part in the Quantum Computing revolution.

Enroll now: Quantum Computing: Theory to Simulation and Programming

Summary

Title: Quantum Computing: Theory to Simulation and Programming

Price: $54.99

Average Rating: 4.15

Number of Lectures: 44

Number of Published Lectures: 30

Number of Curriculum Items: 44

Number of Published Curriculum Objects: 30

Original Price: $99.99

Quality Status: approved

Status: Live

What You Will Learn

Use a real Quantum Computer to solve real world problems
Basics of Quantum Computing
Basics of Quantum Physics
Basics of Cirq programming
Basics of Dwave-Ocean-SDK
Quantum implementation of Logic gates
Basic Combinatorial Optimisation techniques

Who Should Attend

Programmers curious about using Quantum Computing for Machine Learning
Aspiring Quantum Programmers
Programmers curious to take part in the Quantum Computing revolution

Target Audiences

Programmers curious about using Quantum Computing for Machine Learning
Aspiring Quantum Programmers
Programmers curious to take part in the Quantum Computing revolution

This course teaches the fundamentals of Quantum Computing including the basics of Quantum Physics and Quantum Simulations. This course is divided into 4 modules

Quantum Computing Basics: This section deals with the introduction to the wonderful world of Quantum Computing. The comparison between a Classical Computer and a Quantum Computer are explained.

Quantum Physics Section: This section deals with the introduction to the astronomically tiny world of the physics phenomenon that support quantum computers. Concepts like SuperPosition, Quantum Entanglement, Quantum Tunnelling are covered in this section. Quantum Physics has a strong connection with mathematics. In this section, the quantum phenomenon are explained by avoiding a lot of the mathematical jargon aiming towards providing a good grasp over the fundamental concept.

Cirq: This section deals with using Google’s Cirq framework in Python to design Quantum Circuits. A simulator called Quirk is also used which uses Silicon Hardware to emulate a Quantum Processor

Dwave Leap: This sections covers the Signing-Up for the Dwave-Leap service which enables anyone to start using a real Quantum Computer to solve real world problems. This Quantum Annealer will also be used to solve a Graph-Optimization problem.

Combinatorial Optimisation: This section deals with a fundamental concept in the domain of combinatorial optimisation called as Quadratic Unconstrained Binary Optimisation (QUBO). QUBO is used to further formulate and solve problems like simulating the NOT gate on a Quantum Computer

Hope you have fun exploring the depths of Quantum Computing.

Happy Coding,

Vinay Phadnis 🙂

Course Curriculum

Chapter 1: Quantum Computers 101

Lecture 1: Quantum Computer: Fiction or Fact

Lecture 2: Building Blocks of a Computer

Lecture 3: Are Quantum Computers real?

Chapter 2: Quantum Physics 101

Lecture 1: Section Intro

Lecture 2: Probabilistic Nature (Superposition)

Lecture 3: Quantum Entanglement and Tunnelling

Lecture 4: Data stored in a QuBit

Chapter 3: Quantum Programming

Lecture 1: Getting Started

Lecture 2: Quantum Hello World

Lecture 3: Defining Quantum Circuits

Lecture 4: more on Insert Strategies

Lecture 5: Quantum Simulations

Chapter 4: Quantum Fourier Transform Algorithm

Lecture 1: What is Quantum Fourier Transform Operation ?

Lecture 2: Defining the Hadamard gate

Lecture 3: Defining the XMON Simulator

Lecture 4: Running the program

Chapter 5: Programming a real Quantum Computer

Lecture 1: Installing Dwave Ocean SDK

Lecture 2: What is a Graph Problem? Traffic analysis

Lecture 3: Solving Graph Problem on Quantum Processing Unit

Chapter 6: Constraint Analysis Problem on a Quantum Computer

Lecture 1: What is Constraint Analysis?

Lecture 2: What are Binary Quadratic Models

Lecture 3: Declaring the Model

Lecture 4: Reading Minimum Energy Levels

Lecture 5: Running the Program

Chapter 7: Quadratic Unconstrained Binary Optimization

Lecture 1: Section Intro

Lecture 2: Not gate Problem

Lecture 3: What is QUBO

Lecture 4: QUBO for Not gate

Chapter 8: Quantum Computers for Simulations

Lecture 1: Course Conclusion

Lecture 2: BONUS Audio Lecture: Quantum Machine Learning over a cup of coffee

Instructors

Vinay Phadnis
CTO, Machine Learning & Quantum Consultant

Rating Distribution

1 stars: 15 votes
2 stars: 16 votes
3 stars: 36 votes
4 stars: 60 votes
5 stars: 48 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!

Menu