Stand at the forefront of the technological revolution!

Unique in Hungary, our Quantum Engineering master’s program prepares you to understand, use, and advance the technologies of the future.

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Monday 19 February 2024, 3.00 pm CET
(Central European Time)

Learn about quantum technologies - learn about the driving force of the future.

In the coming years, quantum-based measuring instruments, computers, and quantum electronic devices are expected to be widely adopted. Although modern information technology tools (integrated circuits, lasers) already operate based on the principles of quantum mechanics, in the following decades, knowledge of quantum mechanics will be indispensable in designing automotive instruments, the pharmaceutical industry, chip design, medical device design, and programming artificial intelligence algorithms.

Personalized engineering education

The program is specifically designed as an engineering discipline. Although it aims primarily to train industrial research and development professionals with higher mathematical, physical, and computational knowledge than standard engineering programs, students with a background in physics are also welcome.
The study program is primarily project-based. Students can emphasize theoretical, software design, or experimental knowledge based on their preferences.

Key Focus Areas

Quantum algorithms

Theory of quantum sensors


Integrated photonic systems


Microelectronics and semiconductors


György CSABA

Associate professor

Before joining Pázmány ITK, he was a research professor at the University of Notre Dame. His research focuses on the physics of computations and magneto-electronics. He conducts this research in collaboration with several renowned foreign universities, such as the Technical University of Munich (TUM) and the University of Notre Dame.

Mihály Kovács


He is the head of the Applied Mathematics Research Group at Pázmány ITK. He earned his Doctoral degree in the United States and spent an extended period conducting research in Sweden.

András Horváth

Associate professor

He is a researcher in artificial intelligence and deep neural networks. His results in image processing are also applied in a medical context.

György Cserey


Has research and development experience in implementing and optimizing quantum chemical algorithms for parallel systems. His publications on the topic have appeared in reputable journals. He has participated as an invited expert in evaluating several international quantum computing research grants.

Main Subjects

Natural Sciences

The aim of the course is to present the mathematical toolkit of quantum mechanics and quantum information theory, laying the foundation for the mathematical skills required for later courses dealing with quantum mechanics.

Overview of computational models, with particular emphasis on the underlying hardware and non-Boolean, neuromorphic-based computational models.

The principles of quantum mechanics (primarily wave mechanics) are discussed in the course. It introduces the applications of quantum mechanics in chemistry and semiconductor physics.

Practice-oriented introduction to the numerical methods of quantum mechanics.

A broad introduction to quantum computing, with particular focus on the hardware that implements it.

The goal of the lectures is to familiarize engineering students with the interaction of electromagnetic waves and artificial electromagnetic structures (composites, metamaterials, and photonic crystals).

The course aims to provide a concise presentation of classical wave optics and discuss photonic devices and quantum electrodynamics from an application-oriented perspective.

Technical knowledge

Fundamentals of classical circuit theory, with laboratory exercises demonstrating the principles. The objective is for students to understand the behaviour of classical electrical components, which are essential parts of any practical quantum hardware.

The course aims to provide an overview of nanotechnology and nanoelectronics. Major tools and methods of microelectronics manufacturing are also presented.

Introduction to Matlab and Python programming, preparing students to create their codes for modelling and simulation problems. Emphasis is on matrix operations, solving differential equations, machine learning/optimization, data analysis, and visualization.

Introduction to semiconductor physics and solid-state physics, with the necessary background in solid-state physics. The second half of the course focuses on modern semiconductors and quantum devices.

Introduction to the methodology of machine learning, with a comprehensive overview of methods.

The goal of this practical course is for students to deepen their knowledge of quantum informatics by solving a specific quantum computer programming task.

The central theme of the subject is the understanding of various sensors (electrical, mechanical, chemical sensors) and the physics determining and limiting their accuracy.

The course presents the physical background of optical measurements and imaging techniques, mainly through the example of nano-systems and medical diagnostic procedures. It also touches on non-optical methods for characterizing nano-systems.

Economic and Human Sciences

Students study the transformative impact of quantum technologies on society and the environment through group work and literature.

The immediate goal of the course is to create the foundations of an innovation ecosystem that supports the market translation of research in the fields close to the Faculty, allowing Pázmány ITK students and researchers to work on their innovative ideas in an inspiring environment where they can unleash their creativity sustainably and motivated. The course covers business and soft skills necessary for success in the competitive world of technology startups.

The subject focuses on foundations and skill development. In the second half of the course, solving practical tasks will be in focus. Students will receive a proposed grade based on their solution of weekly assignments, reports, book review mini-lectures, and a semester-ending practical task (still or moving image study). The course covers the following topics: Film History (past, present, future); Film Theory (blur, composition, golden ratio, etc.); Standards (proportion, codec, resolution, etc.); Creation analysis (analysis of film works); Lighting and sound technology (lamps, direction of light, direct/indirect, etc.); Film making (preliminary work, shooting organization, shooting, post-production).

Flexible language teaching adapted to the student’s prior knowledge of English, with particular emphasis on tasks encountered in academic life: scientific review, literature review, abstract, essay writing.