Operator algebras and quantum information theory
Course: Applied mathematics
Structural unit: Faculty of Computer Science and Cybernetics
            Title
        
        
            Operator algebras and quantum information theory
        
    
            Code
        
        
            Module type 
        
        
            Вибіркова дисципліна для ОП
        
    
            Educational cycle
        
        
            Second
        
    
            Year of study when the component is delivered
        
        
            2021/2022
        
    
            Semester/trimester when the component is delivered
        
        
            3 Semester
        
    
            Number of ECTS credits allocated
        
        
            8
        
    
            Learning outcomes
        
        
            PLO21.3. Understand the fundamental areas of mathematics and computer science, to the extent necessary for learning mathematical disciplines, applied disciplines and using their methods in a chosen profession.
PLO22.3. Understand the main areas of mathematical logic, theory of algorithms and computational theory, programming theory, probability theory and mathematical statistics.
PLO23.3. Be able to use professional knowledge, skills and abilities in the field of fundamental sections of mathematics and computer science for research of real processes of different nature.
PLO24.3. Be able to independently analyze the relevant subject area, be able to develop mathematical and structural algorithmic models.
        
    
            Form of study
        
        
            Prerequisites and co-requisites
        
        
            To successfully learn the discipline the student should satisfy the following requirements. 
They know (a) classical courses “Calculus”, “Linear algebra”, “Functional Analysis”, “Probability theory”
They can (a) analyze the nature and goals of construction of mathematical structures and models; (b) apply classical commutative methods and construct their non-commutative analogs for solving of actual problems of operator theory and information theory.
They should be able to (a) apply classical methods of Linear Algebra, Calculus and Functional Analysis, Probability Theory (b) seek information in open sources and properly analyze it.
        
    
            Course content
        
        
            The discipline of the second block is aimed at learning basic results of the Operator Algebras theory and mastering technical tools for applications in related areas of applied mathematics. The subject matters includes classical theorems of spectral theory, commutative Banach and C*-algebras, realisation of abstract C*-algebras by Hilbert space operators, structure theorems for the families of orthogonal projections. Applications of the results mentioned above in quantum information theory. The presented course is a natural continuation of the disciplines “Linear Algebra” and “Functional Analysis”.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            1. Wegge-Olsen N.E. K-Theory and C*-algebras: a friendly approach. New-York: Oxford Science Publications. The Clarendon Press, Oxford University Press, 1993. – 370 p.
2.  Hille E., Phillips R.S. Functional analysis and semigroups. Providence: AMS, 1974.—808 p.
3.  Conway J.W.. A Course in Functional Analysis. Second edition. Graduate Texts in Mathematics, 96. New York: Springer-Verlag,1990. – 399 p.
4. S.M. Barnett, Quantum information theory. Oxford University Press, 2009, 300 p.
        
    
            Planned learning activities and teaching methods
        
        
            Lectures, consultations, test works, independent work. 
        
    
            Assessment methods and criteria
        
        
            Intermediate assessment:
The maximal number of available points is 60.
Test work no. 1: 30/18 points.
Test work no. 2: 30/18 points.
Final assessment (in the form of exam): 
The maximal number of available points is 40.
The form of exam: writing.
The types of assignments are 4 writing assignments (2 theoretical and 2 practical).
        
    
            Language of instruction
        
        
            Ukrainian
        
    Lecturers
This discipline is taught by the following teachers
                    Danylo 
                    P.
                    Proskurin 
                
                
                    Operations Research  
Faculty of Computer Science and Cybernetics
            Faculty of Computer Science and Cybernetics
Departments
The following departments are involved in teaching the above discipline
                        Operations Research 
                    
                    
                        Faculty of Computer Science and Cybernetics