Ruhr-Uni-Bochum

"A quantum leap for computer science" - Inaugural Lecture by Prof. Dr. Michael Walter

The Faculty of Computer Science cordially invites all those who are interested to attend the Inauguration Lecture on November 22, 2023!

Copyright: RUB, Marquard

Since January 2022, Michael Walter is the new Professor of Quantum Information at the Faculty of Computer Science and part of the Cluster of Excellence CASA (Cyber Security in the Age of Large-Scale Adversaries) at RUB. In his research group, an international team explores the implications of quantum mechanics – the laws which describe nature on its smallest scales – for the theory of computing. “Quantum computers do not simply compute faster, but they operate using completely different principles than ordinary ‘classical’ computers,” he explains. “Accordingly, the design of quantum algorithms and protocols requires entirely new concepts and ideas.” Walter is also interested in applying ideas from quantum information to other areas of computer science, mathematics, and physics. The research group is actively involved in several national and international collaborations with academic and industrial partners.

The Faculty of Computer Science cordially invites all those who are interested to attend the Inauguration Lecture.

When: November 22, 2023: 3.00-3.30 pm arrival with coffee & cake, 3.30 pm inaugural lecture followed by informal get-together

Where: Open Space of building MC

Abstract. Over the past century, computer science has revolutionized our world and how we understand it. Some of this understanding was shattered when researchers discovered that computing machines based on quantum mechanics can solve certain problems much faster than ordinary computers. We will discuss how this comes about and explore the impact of these ideas in computer science and other fields (from algorithms and cryptography all the way to black holes).

Please register for the event: https://terminplaner6.dfn.de/b/7a497059283b363a719bd01b727fd4a1-467929.

General note: In case of using gender-assigning attributes we include all those who consider themselves in this gender regardless of their own biological sex.