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Quantum Engineering and Emerging Technologies

  • ECTS credits

    8 credits

  • Semester

    Spring

Prerequisites

Basics of optics and quantum physics (1A course); basics of probability/statistics (1A course)

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Learning objectives

This module aims to present the theoretical basis for understanding emerging technologies from the field of quantum physics, and to provide a current overview of the application areas of quantum engineering.

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Description of the programme

Lectures and tutorials.

-Introduction to quantum optics: Historical aspects; From EM field quantization to compressed states of light and quantum photocounting statistics; Generation of compressed states of the field; Application to imaging and detection of gravitational waves (VIRGO/LIGO speaker to be defined) (JF), 

-Analogy between geometrical/physical optics and classical/quantum mechanics (Hamilton versus de Broglie MA), 

-Coherence and classical/quantum Wigner distribution (MA), 

-Quantum tomography (TD),

-Fundamental aspects of gps (atomic clocks, quantum metrology TD),

-Quantum metrology based on cold atoms/trapped ions (speaker C. Champenois PIIM),

-Quantum plane, quantum computer, quantum information (TD),

 -Quantum telecommunications (external speakers)

Practical work/projects

-Refresher course in quantum physics with numerical exercises (black box approach) (TD),

-Decoherence and quantum erasure (TD plus demo. in optical platform TD and JF),

-New applications related to polarization (MA) (among other things TP with the Thorlabs quantum cryptography kit TD and JF).

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Generic central skills and knowledge targeted in the discipline

-for projects: soft skills, conducting a bibliographic work, situating a problem in a general scientific and applicative context

-for the written CC: ability to solve simple problems related to the course, such as exercises seen in class and to understand the theory (example: answer questions from the course)

-for practical work: involvement and participation, ability to observe and analyze

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How knowledge is tested

 Evaluation of table-based assignments, TP reports, personal work presentations resulting from bibliographic/modeling/simulation work, projects.

 CC1 = 4 written papers of one hour each = 60

CC2 = TP reports = 10

CC3 = Presentations = 10%.

CC4 = Projects = 20 

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Bibliography

specific biblio still to be specified.

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Teaching team

Thomas Durt

Julien Fade

Miguel Alonso

Caroline Champenois (AMU)

Other speakers to be defined

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  • Total hours of teaching100h
  • Master class50h
  • Directed work24h
  • Practical work10h
  • 10h
  • 6h