NEASQC webinar: Quantum machine learning and industrial applications

Partners involved

Date: 4 June 2024
Time: 11:00-12:00 CEST

NEASQC is organising a series of interactive webinars to share our findings with the quantum computing community. Each month NEASQC experts present an Open Source library available in the NEASQC GitHub or a technique they investigated, and answer your questions.

In June, we will present some outcomes of the NEASQC use case on Inventory Management.

Abstract: While the developments in quantum computing systems offer suggest that quantum computers capable of some beyond-classical applications are within reach, the genuine impact quantum computers realize will ultimately depend on the real-world applications they offer advantages for. This remains an ever more urgent and open question in the field. In this talk we will discuss and contrast the recent progress in quantum machine learning: progress in theory clarifying how to run quantum algorithms on limited devices and provable advantages in machine learning tasks, on the one hand; and the studies we have performed in applications of these methodologies in simple but concrete use cases involving inventory management on the other.

Speaker: Prof.dr. Vedran Dunjko, University of Leiden

Vedran Dunjko’s research interest lies in the intersection of computer science and quantum physics, including quantum computing and quantum cryptography. Over the course of the last few years, he has been focusing on the interplay between quantum computing, machine learning, and artificial intelligence. He is professor of quantum computing at Leiden University, and lead of the Leiden applied Quantum algorithms Initiative.

Related publications

Location :
Our website uses cookies to give you the most optimal experience online by: measuring our audience, understanding how our webpages are viewed and improving consequently the way our website works, providing you with relevant and personalized marketing content. You have full control over what you want to activate. You can accept the cookies by clicking on the “Accept all cookies” button or customize your choices by selecting the cookies you want to activate. You can also decline all cookies by clicking on the “Decline all cookies” button. Please find more information on our use of cookies and how to withdraw at any time your consent on our privacy policy.
Accept all cookies
Decline all cookies
Privacy Policy