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The Introduction to Quantum Computing

Approx. 17 hours to complete

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Course Summary

This course provides an overview of quantum computing algorithms, including basic quantum algorithms and error correction codes.

Key Learning Points

Learn the fundamentals of quantum computing and the difference between classical and quantum algorithms.
Understand quantum algorithms such as Grover's algorithm, Simon's algorithm, and Shor's algorithm.
Explore error correction codes and their role in quantum computing.

Learning Outcomes

Understand the fundamentals of quantum computing and quantum algorithms.
Be able to implement basic quantum algorithms such as Grover's algorithm and Simon's algorithm.
Understand the role of error correction codes in quantum computing.

Prerequisites or good to have knowledge before taking this course

Basic knowledge of linear algebra and calculus.
Familiarity with programming languages such as Python.

Course Difficulty Level

Intermediate

Course Format

Online
Self-paced
Video lectures

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Notable People in This Field

Scott Aaronson
Seth Lloyd

Related Books

Description

"Quantum Computing" is among those terms that are widely discussed but often poorly understood. The reasons of this state of affairs may be numerous, but possibly the most significant among them is that it is a relatively new scientific area, and it's clear interpretations are not yet widely spread. The main obstacle here is the word "quantum", which refers to quantum mechanics - one of the most counter-intuitive ways to describe our world.

But fear not! This is not a course on quantum mechanics. We will gently touch it in the beginning and then leave it apart, concentrating on the mathematical model of quantum computer, generously developed for us by physicists. This doesn't mean that the whole course is mathematics either (however there will be enough of it). We will build a simple working quantum computer with our bare hands, and we will consider some algorithms, designed for bigger quantum computers which are not yet developed. The course material is designed for those computer scientists, engineers and programmers who believe, that there's something else than just HLL programming, that will move our computing power further into infinity. Since the course is introductory, the only prerequisites are complex numbers and linear algebra. These two are required and they have to be enough. Happy learning!

Outline

Intro
Introduction to Introduction
Information and Computations
Characteristics of Computational Systems
Computability and Algorithms
Computational Complexity
Quantum Computing - Part 1
Quantum Computing - Part 2
The Multiverse Interpretation of Quantum Mechanics
The Slides
Test for the Module 1

Mathematical Model of Quantum Computing
Qubit
Qubit Measurement. Part 1
Qubit Measurement. Part 2
Systems with Multiple Qubits
Measuring the Multiple Qubits Systems
Quantum System Evolution. Computations. Part 1
Quantum System Evolution. Computations. Part 2
Lecture notes
The Slides
Test for the Module 2

Quantum Computer and Quantum Algorithms
Deutsch's Problem. Part 1
Deutsch's Problem. Part 2
Quantum Computer Prototype, DIY
Quantum Computer Prototype. Solving the Deutsch's Problem
More Algorithms. Part 1
More Algorithms. Part 2
Lecture Notes
The Slides
Test for the Module 3

Shor's Algorithm
Intro
Factoring and the RSA
Factoring and Period Finding
Quantum Fourier Transform. Part 1
Quantum Fourier Transform. Part 2
Shor's Algorithm. Part 1
Shor's Algorithm. Part 2
Shor's Algorithm, Part 3
Shor's Algorithm, Part 4
Lecture Notes
The Slides
Test for the Module 4

Grover's Algorithm. A Quantum Computer Application Boundaries
Intro
Grover's Algorithm. Part 1
Grover's Algorithm. Part 2
Grover's Algorithm. A Closer Look
Can we do Better than Grover? Part 1
Can we do Better than Grover? Part 2
Can we do Better than Grover? Part 3
Are Quantum Computers Always Better?
Lecture Notes
The Slide
Test for the Module 5

Summary of User Reviews

The course on Quantum Computing Algorithms on Coursera has received positive reviews from many users. The course has been praised for its comprehensive content, engaging lectures and excellent instructor. One key aspect that many users thought was good is the course’s accessibility for beginners.

Pros from User Reviews

Comprehensive content
Engaging lectures
Excellent instructor
Accessible for beginners
Great introduction to quantum computing

Cons from User Reviews

Some lectures are too technical
Lack of practical exercises
Limited interaction with other students
Not enough emphasis on applications
No certificate of completion

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