Quantum Information Science II: Efficient Quantum Computing - fault tolerance and complexity

  • 0.0
4 Weeks
$ 49

Brief Introduction

Interested in how quantum computing at scale may be achieved, and already know something about quantum circuits and quantum error correction? This is the course for you!

Description

This three-module sequence of courses covers advanced topics in quantum computation and quantum information, including quantum error correction code techniques; efficient quantum computation principles, including fault-tolerance; and quantum complexity theory and quantum information theory. Prior knowledge of quantum circuits and elementary quantum algorithms is assumed. These courses are the second part in a sequence of two quantum information science subjects at MIT.
 
The three modules comprise: 
  • 8.371.1x: Quantum states, noise and error correction
  • 8.371.2x: Efficient quantum computing - fault tolerance and complexity
  • 8.371.3x: Advanced quantum algorithms and information theory
This second 8.371.2x course module will cover in depth the methods of fault-tolerant quantum computation; the concept of quantum supremacy, and quantum algorithms at scale.

A prior course (or strong background) in quantum mechanics is required.  Knowledge of linear algebra is also strongly recommended, and other helpful math topics to know include probability and finite fields.

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. 

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

Knowledge

  • Fault-tolerant constructions for quantum computation
  • Approaches to quantum supremacy
  • Quantum algorithm complexity

Keywords

$ 49
English
Available now
4 Weeks
Isaac Chuang, Aram Harrow
MITx
edX

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