• Length:
    7 Weeks
  • Effort:
    11–13 hours per week
  • Price:

    FREE
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  • Institution
  • Subject:
  • Level:
    Intermediate
  • Language:
    English
  • Video Transcript:
    English

Prerequisites

  • Calculus and linear algebra
  • Quantum Information I, Parts 1 and 2

About this course

This course is the final part of a three-course series that provides an introduction to the theory and practice of quantum computation. This third course builds on the foundational introduction provided in the first course, and the simple quantum protocols provided in the second course, and explores quantum communication, including:

  • Models of quantum noise and quantum channels
  • Quantum error correction
  • Quantum key distribution
  • Distributed quantum protocols

This course will help you establish a foundation of knowledge for understanding what quantum computers can do, how they work, and how you can contribute to discovering new things and solving problems in quantum information science and engineering.

The three-course series comprise:

  • 8.370.1x: Foundations of quantum and classical computing – quantum mechanics, reversible computation, and quantum measurement
  • 8.370.2x: Simple quantum protocols and algorithms – teleportation and superdense coding, the Deutsch-Jozsa and Simon’s algorithm, Grover’s quantum search algorithm, and Shor’s quantum factoring algorithm
  • 8.370.3x: Foundations of quantum communication – noise and quantum channels, and quantum key distribution

Prior knowledge of quantum mechanics is helpful but not required. It is best if you know some linear algebra.

This course has been authored by one or more members of the Faculty of the Massachusetts Institute of Technology. Its educational objectives, methods, assessments, and the selection and presentation of its content are solely the responsibility of MIT. MIT gratefully acknowledges major support for this course, provided by IBM Research. This course on quantum information science is a collective effort to further advance knowledge and understanding in quantum information and quantum computing.

For more information about MIT’s Quantum Curriculum, visit quantumcurriculum.mit.edu.

What you'll learn

  • Formal models for quantum noise and quantum communication channels
  • Simple quantum error-correction codes, including the quantum Hamming code
  • Quantum key distribution protocol
  • Distributed quantum protocols and algorithms

Meet your instructors

Isaac Chuang
Professor of Electrical Engineering and Computer Science, and Professor of Physics
Massachusetts Institute of Technology
Peter Shor
Morss Professor of Applied Mathematics and Chair of the Applied Mathematics Committee
Massachusetts Institute of Technology

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