The student should have prior knowledge of the following general physics topics:
• Basic knowledge of general optics (geometric optics, wave optics)
• Basic knowledge of linear algebra (vector space, matrices, eigenvectors and eigenvalues, linear operators...)
• Basic knowledge of quantum mechanics (postulates of quantum mechanics, Schrödinger equation, angular momentum, spin, particle identity) and basic concepts from solid state physics

The aim of this course is to provide knowledge on basic concepts of quantum communication and computation which will allow students to familiarize themselves with this topic. During the course students will gain insight into existing problems in classical cryptography and what quantum mechanics can offer for secure communication, students will learn where limits of classical computational power are and why quantum computing can outperform classical approaches. The students will also obtain practical skills on simulation of basic quantum circuits using Python package QISKIT.

The course covers the following topics:

• Quantum entanglement, EPR paradox, GHZ experiment, Bell inequality, Quantum logic
• Classical cryptography, Non-cloning theorem, Quantum key distribution
• Unitary transformations, Logic gates, Single qubit gates, Multiqubit gates
• Quantum supremacy, Deutsch's test, Grover's algorithm, Shor's algorithm
• Problem of decoherence, Quantum errors
• Qubits in physical systems, DiVincenzo criteria, Possible implementations of quantum computer
• Introduction to Python package QISKIT

Learning goals of this course are:

• The student can understand the concepts and working principles of quantum communication and quantum computation as well as their applications in quantum technology
• The student can independently review recent literature and improve his/her understanding of novel quantum communication protocols and quantum computation algorithms. The student can use the scientific literature to study certain topics on his/her own and propose them to the team
• The student can independently process and apply the provided basic knowledge and skills to simulate simple quantum circuits
• The student can translate a practical experimental problem into the computational context and report the results in writing and orally