Master's Degree in Nanoscience and Quantum Technologies (NanoQuant)

Teaching mathematics for numerical physics. Introduction to tools for studying partial differential equations (distributions, variational formulation, Sobolev spaces).

Introduction to integral methods and their numerical implementation. Applications to diffraction problems in harmonic regime.

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This course is designed to provide students with skills in the field of numerical solution of the Schrödinger equation in order to simulate complex quantum well structures. The course begins by studying situations where the solution is analytical, then situations where the solution is semi-analytical, before moving on to the finite difference (FD) method. Various FD schemes are proposed, each with an evaluation of convergence based on different key parameters (domain truncation, number of samples, etc.). Finally, examples of concrete physical applications are studied.    

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This EU presents the physical properties of different nanostructures such as quantum wells, 1D photonic crystals, carbon nanotubes, and graphene. Electronic (structure and transport), vibrational, and optical properties are discussed, as well as radiation-matter interaction.

This will involve describing the development of low-dimensional materials and the associated electronic, photonic, and phononic structures, studying transport phenomena, electron-photon and electron-phonon couplings, excitons, and the absorption, emission, and scattering of light.

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This teaching unit is an introduction to artificial intelligence for physicists. It aims to explore uses of deep learning using the TensorFlow and Keras libraries. It includes a presentation of examples of use in physics.

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English tutorial course for students enrolled in the Master 2 Physics program who are seeking professional integration in English in a contemporary context.

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This teaching unit deals with solving electromagnetic problems using computers. Based on Maxwell's equations, it shows how to simulate the behavior of electromagnetic waves in different media. In particular, it includes a detailed implementation of simulations based on the finite difference time domain (FDTD) method.

An introduction to diffraction problems in harmonic regime by a bounded obstacle will be given for the case of scalar waves in 2D and 3D.

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This module aims to teach the operating principles of the main techniques used to characterize the structure (in volume and on the surface) and properties (optical, electronic, etc.) of condensed matter:

• X-ray and electron diffraction techniques
• optical spectroscopy techniques (absorption, reflection, luminescence)
• local probe microscopy

  This module aims to teach the operating principles of the main techniques used to characterize the structure (in volume and on the surface) and properties (optical, electronic, etc.) of condensed matter:

  • X-ray and electron diffraction techniques
  • optical spectroscopy techniques (absorption, reflection, luminescence)
  • local probe microscopy

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This EU is specific to the NanoQuant program and offers high-level fundamental training in the field of Quantum Technologies, i.e., current and future developments in new technologies based on concepts such as quantum coherence and entanglement, which enable functionalities and sensitivities that exceed their classical counterparts.

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Internship of at least five months in a laboratory, supervised by a professor-researcher or researcher in the fields of nanophysics or quantum physics.

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This course is an experimental training program in the main techniques of nanocaracterization and nanotechnology:

• AFM
• SEM
• Photoluminescence
• X-ray diffraction
• Ellipsometry
• Optical Microscopy
• Source meter
• Capacitance meter
• Processes for manufacturing microdevices in clean rooms

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