Quantum Information Science I, Part 3

Add to Favourites
1 1 1 1 1
Price: 5715 EUR 5715 EUR
Contact Massachusetts Institute of Technology

More details about the program

Description

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.

Specific details

Category of Education Computer Sciense, IT and Communication

Comments (0)

There are no comments posted here yet

Leave your comments

Search

Related Programs

Data science courses contain math—no avoiding that ...
Statistical Machine Learning is a second graduate ...
Do you realize that the only functionality of a we ...
The courses in the XSeries are designed to help pe ...

 

©2023 EDUCOM NET. All Rights Reserved.

If you find an inaccuracy or you have comments on the description of the university or program - please let us know info@educom.net