PhD defence @IMADA: Siva Tej Pindiprolu
Siva Tej Pindiprolu defends her PhD thesis at a public lecture: “Coupled Flows in G2 Geometry”.The chairman of the assessment committee, Associate Professor Du Pei, will act as chairman at the defence.The PhD defence takes place in IMADA Conference Room (Ø18-509-2).All are welcome.
Cake & Cava: End of academic year @IMADA for all students and all employees
We end the academic year at IMADA with strawberry cake, wine, water, beer, snacks and lots of summer mood 😃!All IMADA students and all staff are invited.No registration needed – just turn up!
QC Research Seminar: An Exponential Separation Between Quantum and Quantum-Inspired Classical Algorithms for Linear Systems
Speaker: Kasper Green Larsen (Aarhus University).Abstract: Achieving a provable exponential quantum speedup for an important machine learning task has been a central research goal since the seminal HHL quantum algorithm for solving linear systems and the subsequent quantum recommender systems algorithm by Kerenidis and Prakash. These algorithms were initially believed to be strong candidates for exponential speedups, but a lower bound ruling out similar classical improvements remained absent. In breakthrough work by Tang, it was demonstrated that this lack of progress in classical lower bounds was for good reasons. Concretely, she gave a classical counterpart of the quantum recommender systems algorithm, reducing the quantum advantage to a mere polynomial. Her approach is quite general and was named quantum-inspired classical algorithms. Since then, almost all the initially exponential quantum machine learning speedups have been reduced to polynomial via new quantum-inspired classical algorithms. From the current state-of-affairs, it is unclear whether we can hope for exponential quantum speedups for any natural machine learning task. In this work, we present the first such provable exponential separation between quantum and quantum-inspired classical algorithms. We prove the separation for the basic problem of solving a linear system when the input matrix is well-conditioned and has sparse rows and columns.
Computational Systems Chemistry Symposium 2026
CSC2026 is a student-organised symposium that explores the exciting and promising field of computational systems chemistry and cheminformatics - and their applications in research areas such as chemical reaction networks, metabolic pathways, generative models, and analytical chemistry.This free-to-register two day symposium is open to young researchers, ranging from Masters to post-docs, and even industry R&D specialists in the field of computational chemistry wishing to showcase, share, and discuss their work with like-minded researchers in the field. The deadline for registration is: May 15th, 2026Please note: attendees will need to pay for accommodation (if they require it) at a rate of 550 DKK per night - hotel rooms are organised by the team for you!
QM Research Seminar: TBA
Speaker: Raphael Senghaas (Heidelberg University).Abstract: TBA
Biomedical Engineering Forum 2026
SDU Sønderborg 21 August 2026 - A forum for researchers, health professionals and employees in companies to meet
Biomedical Engineering Forum 2026
SDU Sønderborg 21 August 2026 - A forum for researchers, health professionals and employees in companies to meet
Student centered learning fosters deeper learning and engagement in chemistry.
In this presentation, I will present my methods for activating teaching, which I have implemented both in an existing course I took over from a colleague, and in a new course that I have built myself from scratch.