Quantum Computing. Less Formulas - More Understanding

  • 4.8
Approx. 8 hours to complete

Course Summary

This course is an introduction to quantum computing for students who are familiar with linear algebra. You will learn what quantum computing is, how it works, and how to program quantum computers using Qiskit, a software development kit for quantum computers.

Key Learning Points

  • Gain an understanding of quantum computing and its potential applications
  • Learn how to program quantum computers using Qiskit
  • Explore quantum algorithms such as Grover's algorithm and Shor's algorithm

Related Topics for further study


Learning Outcomes

  • Understand the fundamentals of quantum computing
  • Learn how to program quantum computers using Qiskit
  • Explore quantum algorithms and their potential applications

Prerequisites or good to have knowledge before taking this course

  • Familiarity with linear algebra
  • Knowledge of Python programming language

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced
  • Video lectures
  • Quizzes and assignments

Similar Courses

  • Quantum Computing Fundamentals
  • Quantum Mechanics for Everyone

Related Education Paths


Notable People in This Field

  • Computer Scientist
  • Quantum Mechanical Engineer

Related Books

Description

This is yet one more introductory course on quantum computing. Here I concentrate more on how the mathematical model of quantum computing grows out from physics and experiment, while omitting most of the formulas (when possible) and rigorous proofs.

Outline

  • Two Basic Questions
  • Introduction
  • The Consequences of the Mathematical Model
  • The State Space
  • True Randomness. Part 1
  • True Randomness. Part 2
  • Interference. Part 1
  • Interference. Part 2
  • Test for the Module 1
  • The Origins of the Mathematical Model. Part 1
  • Introduction
  • Double-slit Experiment. Bullets and Waves
  • Double-slit Experiment. Photons and Electrons. Part 1
  • Double-slit Experiment. Photons and Electrons. Part 2
  • Wavefunctions
  • Square-Integrable Functions
  • Measurement
  • Test for the Module 2
  • The Origins of the Mathematical Model. Part 2
  • Introduction
  • The State Space
  • Two-State Systems.Polarization of Photons. Part 1
  • Two-State Systems.Polarization of Photons. Part 2
  • Waves and Complex Numbers. Part 1
  • Waves and Complex Numbers. Part 2
  • Geometrical Representation - Bloch Sphere
  • Other Two-level Systems. Spin 1/2
  • Entanglement
  • Systems with Multiple Qubits
  • Test for the Module 3
  • The Language of Quantum Mechanics
  • Introduction
  • Inner Product
  • Conjugate Space
  • Linear Operators
  • Hermitian Operators
  • Eigenvalue Equation
  • Some Examples
  • The Evolution of Quantum System
  • Test for the Module 4
  • Quantum Cryptography and Teleportation
  • Introduction
  • No-Cloning Theorem
  • SWAP Operator
  • Quantum Teleportation
  • Quantum Cryptography Protocols
  • BB84
  • E91
  • Test for the Module 5

Summary of User Reviews

The Quantum Computing course on Coursera has received positive reviews from users. Many found the course to be informative and engaging.

Key Aspect Users Liked About This Course

The course content was highly appreciated by users.

Pros from User Reviews

  • The course provides a clear and concise introduction to quantum computing
  • The lectures are well-structured and easy to follow
  • The course includes interactive quizzes and exercises that reinforce learning
  • The instructor is knowledgeable and responsive to questions

Cons from User Reviews

  • Some users found the course too challenging, especially if they lacked a background in mathematics
  • A few users reported technical issues with the platform or course materials
  • Some users felt that the course could benefit from more practical examples or applications
English
Available now
Approx. 8 hours to complete
Сысоев Сергей Сергеевич
Saint Petersburg State University
Coursera
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