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19D061KIB - Quantum Informatics of Biomolecules

Course specification
Course title Quantum Informatics of Biomolecules
Acronym 19D061KIB
Study programme Electrical Engineering and Computing
Module Nuclear, Medical and Ecological Engineering
Type of study doctoral studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
      ESPB 9.0 Status elective
      Condition none
      The goal Introducing students to modern concepts and applications of quantum informatics in molecular biophysics.
      The outcome Upon completion of this course, students should have a deeper understanding and mastery of models of quantum information processes that can be applied in the analysis of complex biophysical phenomena.
      Contents
      URL to the subject page http://nobel.etf.bg.ac.rs/studiranje/kursevi/ds1kib/
      Contents of lectures Macromolecular conformation. Levinthal’s paradox. Molecular recognition. The quantum information fundamentals (qubit, mixed states, quantum entropy, entanglement...). Open quantum systems and decoherence. Dynamic mappings and master equations. Markov processes. Quantum phenomena in molecular systems (conformational transitions of macromolecules, photosynthesis, quantum foundations of senses...).
      Contents of exercises
      Literature
      1. Ivan B. Djordjević, Quantum Biological Information Theory, Springer, 2016. (Original title)
      2. M. Dugic, Fundamentals of quantum information and quantum computing, PMF-Kragujevac, 2009.
      3. M. Dugic, Decoherence in the classical limit of quantum mechanics, SFIN XVII (2), Institute of Physics, Belgrade, 2004.
      4. J. Jeknić-Dugić, Decoherence model of conformational transitions of molecules, Doctoral dissertation, PMF-Kragujevac, 2010.
      5. J. Jeknić-Dugić, M. Arsenijević, M. Dugić, Collection of problems: Fundamentals of Open Quantum Systems (scripta)
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      8
      Methods of teaching lectures, consultations, demonstrations, seminars, projects
      Knowledge score (maximum points 100)
      Pre obligations Points Final exam Points
      Activites during lectures Test paper
      Practical lessons Oral examination 50
      Projects 30
      Colloquia
      Seminars 20