The Optimal Depth of Variational Quantum Algorithms Is QCMA-Hard to Approximate
L. Bittel, S. Gharibian, M. Kliesch, in: Proceedings of the 38th Computational Complexity Conference (CCC), 2023, p. 34:1-34:24.

On Cloud Assisted, Restricted, and Reosurce Constrained Scheduling
S. Pukrop, On Cloud Assisted, Restricted, and Reosurce Constrained Scheduling, 2023.

Utilizing Redundancy in Distributed Heterogeneous Storage
F. Schneider, Utilizing Redundancy in Distributed Heterogeneous Storage, 2023.

Graph Neural Network-based Anomaly Detection in  Smart Grid Energy Consumption
A. Ranade, Graph Neural Network-Based Anomaly Detection in  Smart Grid Energy Consumption, 2023.

Highly accurate deep compressed facial recognition
O. Ali, Highly Accurate Deep Compressed Facial Recognition, 2023.

Super-Gaussian decay of exponentials: A sufficient condition
B. Hinrichs, D.W. Janssen, J. Ziebell, Journal of Mathematical Analysis and Applications 528 (2023).

Virtual On-Demand Volunteer System Based on Delaunay Triangulation
N. Ashri, Virtual On-Demand Volunteer System Based on Delaunay Triangulation, 2023.

Temperedness of locally symmetric spaces: The product case
T. Weich, L.L. Wolf, ArXiv:2304.09573 (2023).

Finite Set Sensorless Control With Minimum a Priori Knowledge and Tuning Effort for Interior Permanent Magnet Synchronous Motors
A. Brosch, F. Tinazzi, O. Wallscheid, M. Zigliotto, J. Böcker, IEEE Transactions on Power Electronics (2023).

Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks
M. Meyer, T. Kenter, C. Plessl, ACM Transactions on Reconfigurable Technology and Systems (2023).

Steady-State Error Compensation for Reinforcement Learning-Based Control of Power Electronic Systems
D. Weber, M. Schenke, O. Wallscheid, IEEE Access 11 (2023) 76524–76536.

Safe Reinforcement Learning-Based Control in Power Electronic Systems
D. Weber, M. Schenke, O. Wallscheid, in: 2023 International Conference on Future Energy Solutions (FES), IEEE, 2023.

Improving the End-of-Line Test of Custom-Built Geared Motors using Clustering based on Neural Networks
N. N., Improving the End-of-Line Test of Custom-Built Geared Motors Using Clustering Based on Neural Networks, 2023.

Neuro-Symbolic Class Expression Learning
C. Demir, A.-C. Ngonga Ngomo, International Joint Conference on Artificial Intelligence (2023).

Pairwise Disjoint Perfect Matchings in r-Edge-Connected r-Regular Graphs
Y. Ma, D. Mattiolo, E. Steffen, I.H. Wolf, SIAM Journal on Discrete Mathematics 37 (2023) 1548–1565.

Computing and Compressing Electron Repulsion Integrals on FPGAs
X. Wu, T. Kenter, R. Schade, T. Kühne, C. Plessl, in: 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2023, pp. 162–173.

Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics
R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, C. Plessl, The International Journal of High Performance Computing Applications (2023).

Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions
A. Tornede, Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions, 2023.

Generation of 100 GHz Periodic Nyquist Pulses using Cascaded Mach-Zehnder Modulators in a Silicon Electronic-Photonic Platform
C. Kress, T. Schwabe, C. Silberhorn, J.C. Scheytt, in:  Conference on Lasers and Electro-Optics (CLEO) 2023, Optica Publishing Group, 2023.

Learning discrete Lagrangians for variational PDEs from data and detection of travelling waves
C. Offen, S. Ober-Blöbaum, in: F. Nielsen, F. Barbaresco (Eds.), Geometric Science of Information, Springer, Cham., 2023, pp. 569–579.