Quantum Computing: Theory to Simulation and Programming
4.1 (88 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
553 students enrolled

Quantum Computing: Theory to Simulation and Programming

Understand the Fundamentals of a Quantum Computer and the DWave framework. Solve tasks on a real Quantum Computer
4.1 (88 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
553 students enrolled
Created by Vinay Phadnis
Last updated 5/2020
English
Current price: $83.99 Original price: $119.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 4.5 hours on-demand video
  • 1 article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll 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
Course content
Expand all 30 lectures 04:24:43
+ Quantum Physics 101
4 lectures 29:59
Quantum Entanglement and Tunnelling
11:10
Data stored in a QuBit
06:42
+ Quantum Programming
5 lectures 41:55
Quantum Hello World
11:26
Defining Quantum Circuits
09:33
more on Insert Strategies
06:58
Quantum Simulations
06:38
+ Quantum Fourier Transform Algorithm
4 lectures 33:57
What is Quantum Fourier Transform Operation ?
06:42
Defining the Hadamard gate
14:09
Defining the XMON Simulator
09:28
Running the program
03:38
+ Programming a real Quantum Computer
3 lectures 32:31
Installing Dwave Ocean SDK
08:08
What is a Graph Problem? Traffic analysis
11:38
Solving Graph Problem on Quantum Processing Unit
12:45
+ Constraint Analysis Problem on a Quantum Computer
5 lectures 43:41
What are Binary Quadratic Models
07:46
Declaring the Model
08:51
Reading Minimum Energy Levels
12:26
Running the Program
07:20
+ Quadratic Unconstrained Binary Optimization
4 lectures 29:01
Section Intro
02:53
Not gate Problem
05:50
What is QUBO
10:57
QUBO for Not gate
09:21
+ Quantum Computers for Simulations
2 lectures 28:31
Course Conclusion
00:40
BONUS Audio Lecture: Quantum Machine Learning over a cup of coffee
27:51
Requirements
  • No initial Mathematics knowledge is required.
  • No initial knowledge of Quantum Physics is required. Will be covered in the course
Description

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 :)

Who this course is for:
  • Programmers curious about using Quantum Computing for Machine Learning
  • Aspiring Quantum Programmers
  • Programmers curious to take part in the Quantum Computing revolution