COM-611 / 4 credits

Teacher: Macris Nicolas

Language: English

Remark: Next time: Fall 2021


Frequency

Every 2 years

Summary

Today one is able to manipulate matter at the nanoscale were quantum behavior becomes important and possibly information processing will have to take into account laws of quantum physics. We introduce concepts developed in the last 25 years to take advantage of quantum resources.

Content

Learning Prerequisites

Required courses

Linear algebra.

Recommended courses

Linear Algebra and Basic Information Theory. No prerequisite in quantum mechanics will be needed.

Important concepts to start the course

Matrix and vector calculus, inner product, complex numbers.

Learning Outcomes

By the end of the course, the student must be able to:

  • Master the basic principles of quantum computation and information theory.
  • Be able to state the main differences between classical and quantum concepts related to computation, information and correlations .

Teaching methods

Ex-Cathedra. Homeworks.

Expected student activities

Participation in class and homeworks.

Assessment methods

Homeworks + oral exam

Resources

Bibliography

Nielsen and Chuang: Quantum Information and Computation. CUP.

Ressources en bibliothèque

Notes/Handbook

Class notes.

Websites

In the programs

  • Exam form: Oral (session free)
  • Subject examined: Quantum Information Theory and Computation
  • Lecture: 28 Hour(s)
  • Exercises: 28 Hour(s)
  • Exam form: Oral (session free)
  • Subject examined: Quantum Information Theory and Computation
  • Lecture: 28 Hour(s)
  • Exercises: 28 Hour(s)

Reference week