Information Quantique

Quantum Information and Computation

Description: The Quantum Information and Computation course introduces students to the fundamental and advanced concepts of quantum mechanics that are essential for understanding and designing quantum technologies. The course covers the density matrix formalism, which allows a complete description of quantum states, and explores superposition, measurement, and entanglement. Students learn to quantify correlations in multipartite quantum systems using measures such as entropy and gain a solid foundation in quantum information theory, including encoding, processing, and transfer of information in quantum systems.

The course also provides a practical introduction to quantum computation. Students study elementary quantum circuits, the evolution of qubits under quantum gates, and the implementation of basic quantum algorithms. Emphasis is placed on linking theory with applications, including quantum communication, computation, and emerging quantum devices. By the end of the course, students acquire both analytical skills to model and analyze quantum systems and practical experience to simulate, design, and interpret quantum information processes, preparing them for advanced studies or research in quantum engineering..

Bibliography:

  • Ref3 : M.A. Nielsen I.L. Chuang, Quantum Computation and Quantum Information, Cambridge University Press (2010)
  • Ref4 : S. Barnett, Quantum Information, Oxford University Press (2009)

Learning outcomes: AA1: Manipulation and calculation using the density-operator formalism – AA2 : Use quantum information tools to analyze elementary quantum communication architectures – AA4: Knowledge of current technologies used in quantum computers and their limitations – AA5: Mathematical analysis and processing of elementary quantum circuits – AA6: Understanding and numerical implementation of basic quantum algorithms

Evaluation methods: Written Exam

Evaluated skills:

  • Physical Engineering Design
  • Physical Modeling
  • Systems Analysis

Course supervisor:

  • Thomas Decultot

Geode ID: SPM-PHY-017