Understanding Quantum Computers

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Brief Introduction

Explore the key concepts of quantum computing and find out how it’s changing computer science with this introductory course.

Course Summary

Explore the basics of quantum computing and learn how it’s transforming computer science with this introductory course.

Key Learning Points

  • Understand the fundamental principles of quantum mechanics and how they relate to quantum computing
  • Learn about quantum gates and algorithms, and how to implement them
  • Explore the potential applications of quantum computing, and the challenges it faces

Job Positions & Salaries of people who have taken this course might have

    • USA: $120,000
    • India: ₹14,00,000
    • Spain: €60,000
    • USA: $120,000
    • India: ₹14,00,000
    • Spain: €60,000

    • USA: $100,000
    • India: ₹8,00,000
    • Spain: €45,000
    • USA: $120,000
    • India: ₹14,00,000
    • Spain: €60,000

    • USA: $100,000
    • India: ₹8,00,000
    • Spain: €45,000

    • USA: $130,000
    • India: ₹16,00,000
    • Spain: €70,000

Related Topics for further study


Learning Outcomes

  • Understand the basic principles of quantum mechanics and how they relate to quantum computing
  • Implement quantum gates and algorithms
  • Explore the potential applications and challenges of quantum computing

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of linear algebra and probability theory
  • Basic programming skills in Python

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced

Similar Courses

  • Quantum Mechanics for Everyone
  • Quantum Cryptography
  • Quantum Information Science I, Part 1

Related Education Paths


Notable People in This Field

  • Scott Aaronson
  • Seth Lloyd
  • John Preskill

Related Books

Requirements

  • Anyone interested in quantum computing at the “popular science” level. High school students, college students, and computer professionals interested in developing a qualitative understanding of quantum computing in order to understand the future of computing will benefit. We recommend that you be comfortable with exponents, vectors, sine waves and the basic concepts of probability. There are some equations, but we have endeavored to keep them as few and clear as possible. While the mathematics is not too hard, some concepts will be new to most learners, and require some mental stretching. Be prepared to exercise your brain! The Educators/Hosts will facilitate this course for about three times a year. Our next facilitation period is October - Novermber, 2020. While the Educators themselves aren’t available to facilitate this run, we encourage you to engage with other learners and there are opportunities to do this throughout the course.

Knowledge

  • Waves and interferenceQuantum superposition and entanglementComputational complexityThe quantum Fourier transformShor’s algorithm for factoring large numbersGrover’s algorithmQuantum chemistry and machine learningPhysical phenomena as quantum bits (qubits)Quantum computing hardware and architectureQuantum error correctionThe quantum information technology industry

Summary of User Reviews

Find out what users are saying about FutureLearn's Introduction to Quantum Computing course. Discover the overall consensus and one of the key aspects that many users thought was good.

Key Aspect Users Liked About This Course

The course material is well-structured and easy to follow.

Pros from User Reviews

  • Great introduction to quantum computing concepts.
  • Engaging and informative lectures.
  • Interactive exercises help solidify understanding.
  • Excellent resources and support from instructors.
  • Flexible pacing allows for personalized learning.

Cons from User Reviews

  • Some parts of the course may be too advanced for beginners.
  • Not enough practical applications of quantum computing concepts.
  • Limited opportunities for interaction with other students.
  • Some technical issues with the platform.
  • Course may be too short for some learners.
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Rodney Van Meter, Takahiko Satoh
Keio University
Futurelearn

Instructor

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