Seminar: AI–Quantum Synergy: Tackling Multipartite Entanglement in Many-Body Systems
- Date
- 21 October 2025, 11:15–12:00
- Location
- Online event, Ångström Laboratory, Å92110 and Zoom: https://uu-se.zoom.us/j/67221718570
- Type
- Seminar
- Lecturer
- Vahid Azimi Mousolou
- Organiser
- Division of Materials Theory, Department of Physics and Astronomy
- Contact person
- Vladislav Borisov
In this talk, we discuss the synergy between artificial intelligence and quantum computation, exploring whether quantum machine learning (QML) can advance the analysis of complex quantum phenomena. We introduce the core concepts and methodologies of QML and examine their potential to address the long-standing problem of multipartite entanglement in many-body quantum states. By integrating AI-driven optimization techniques with quantum computational frameworks, we outline a pathway toward scalable multipartite entanglement quantification in quantum systems.