Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics

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    Quantum Communication Networks 

    A tantárgy neve magyarul / Name of the subject in Hungarian: Kvantumhálózatok

    Last updated: 2024. február 26.

    Budapest University of Technology and Economics
    Faculty of Electrical Engineering and Informatics     		Computer Engineering, MSc
    Course ID Semester Assessment Credit Tantárgyfélév
    VIHIMA25   2/1/0/v 5  
    3. Course coordinator and department Dr. Bacsárdi László,
    4. Instructors Dr. László Bacsárdi, associate professor, HIT
    Eszter Gerhátné Dr. Udvary, associate professor, HIT
    Dr. Sándor Imre, professor, HIT
    5. Required knowledge probability, linear algebra
    7. Objectives, learning outcomes and obtained knowledge The objective of the course is to provide students with knowledge of quantum communication. The aim of the course is to explain the fundamentals of quantum communication networks and to explain the importance of quantum communication and the diversity of its applications. Following an introduction to the basic concepts of related quantum information theory, the course will provide a thorough overview of quantum communication networks, covering both quantum key distribution (QKD) networks and the so-called ‘beyond QKD’ solutions that are the basis of the future quantum Internet.
    8. Synopsis Detailed descriptions of lectures
    1.    Operating model of quantum communication networks, application areas.
    2.    Basic concepts of quantum information theory. Density matrix notation in quantum information science. Postulates with density matrix. Pure and mixed states.
    3.    Simple quantum communication protocols: teleportation, superdense compression.
    4.     Basic protocols for quantum key distribution. Prepare-and-measure and entanglement-based QKD
    5.    Above the physical layer of QKD: information reconcelation and privacy amplification
    6.    Design issues for long-range quantum key distribution systems. ETSI QKD standards.
    7.    Concepts of quantum entropy, conditional quantum entropy, mutual quantum information, quantum-relative entropy function, analogy with classical systems. Description and characterization of quantum channels. Fundamental quantum channels. Classical and quantum capacitance definitions. Holevo theorem. Definition of capacitances for typical quantum channels. 
    8.    Error correction of quantum channels, related information theoretic constraints. Overview of error correcting encodings, efficiency, discussion of physical implementations.
    9.    Quantum Internet architecture and protocols
    10.    The principle of quantum repeaters and their applications in telecommunication systems. Physical architecture of quantum memory and quantum repeaters
    11.    Convergence sharing protocol and its applications. Communication on zero capacity channel, superactivation
    12.    Technological challenges of optical fiber quantum communication systems
    13.    Technological challenges of outdoor and satellite quantum communication systems
    14.    Summary of the semester. Outlook: market and future of quantum networks

    Detailed topics of the exercises/lab
    1.    Application of a density matrix notation system.
    2.    Quantum key distribution network design in practice.
    3.    Prepare-and-measure quantum key distribution in practice.
    4.    Entanglement-based quantum key distribution in practice.
    5.    Quantum Internet protocols.
    6.    Entanglement sharing through examples.
    7.    Next generation quantum key distribution architectures.

    9. Method of instruction Lecture. Successful completion of the subject and the interdependence of knowledge require to continuous follow the content of the lectures.
     
    Practice: review of lecture material, supplemented by practical examples
    10. Assessment

    During the semester, students write 1 mid-term exam and 2 small homework assignments. The criteria for the successful semester: minimum of 40% of the score of the mid-term exam AND minimum of 40% of the total score of the two small assignments.

    Oral exam

    11. Recaps Students will be given the opportunity to retake the mid-term exam during the retake week.
    Late submission of the two small homework assignments is possible until the fourth day of the retake week for a special fee.
    12. Consultations Before and after lectures and at any time by prior arrangement
    13. References, textbooks and resources 1. S. Imre, L. Gyöngyösi: Advanced Quantum Communications - An Engineering Approach, Publisher: Wiley-IEEE Press (New Jersey, USA), John Wiley & Sons, Inc., 2012

    Additional Hungarian and English language resources are available in electronic form.
    14. Required learning hours and assignment
    Contact hours
    		42
    Preparation for classes
    		28
    Preparation for the mid term
    		20
    Working on home work
    		20
    Preparation for the exam
    		40
    Total150
    15. Syllabus prepared by Dr. László Bacsárdi, associate professor, BME Department of Network Systems and Services