Quantum Information 1000-2M22IKW

Part I: Quantum Information
1. Quantum states, measurements and evolution
2. Quantum channels
3. Quantum entanglement
4. Quantum information theory
5. Bell theorem and quantum randomness

Part II: Quantum Communications
1. No-cloning theorem
2. Quantum Cryptography
3. Device-Independent Quantum Key Distribution
4. Quantum Dense Coding & Quantum Teleportation
5. Post-Quantum and Hybrid Cryptography

Part III: Quantum Computations
1. Classical computation models with quantum gates (continuous-variable and discrete-variable computer)
2. Quantum computational models (quantum annealers, adiabatic quantum computation); Implementations: KLM protocol, NISQ quantum computer machines, hardware platforms available

Main fields of studies for MISMaP

physics
computer science

Course coordinators

Katarzyna Osiecka

Type of course

elective monographs

Requirements

Information theory

Prerequisites

Tools Supporting Data Analysis in Python

Assessment criteria

The final score will consist of the outcomes of the systematic work during the semester, the scores from the test and the scores from the written exam.

Additionally, in the case of doctoral students, a written essay describing the topic agreed with the teacher, e.g. quantum algorithm or protocol, will be expected. It should take into account scientific literature (publications) from the last 5 years.

Bibliography

1. M. A. Nielsen, I. L. Chuang, Quantum computation and quantum information (CUP, 2000)
2. G. Alber, A. Zeilinger et al., Quantum information (Springer, 2001)
3. M. Le Bellac, A short introduction to quantum information and quantum computation (CUP, 2006)
4. G. van Assche, Quantum Cryptography and Secret-Key Distillation (CUP, 2006)