activity
20002026
most citedRoadmap for Edge AI: A Dagstuhl Perspective

64 citations · 167 across the 17 of their papers we have counts for

collaborators

19 papers

quant-ph2026

Evaluating the Effect of the Order of Optimization Passes in Quantum Circuit Optimization

Xiao-Ting Michelle To, Nils Quetschlich, Amr Elsharkawy +3

Quantum circuit optimization is critical for mitigating the noise inherent in current quantum hardware. Quantum compilers typically sequentially apply multiple optimizations (also…

quant-ph2026

Evaluating System-Level Fidelity with Peaked Random Circuits

Martin Brieger, Florian Krötz, Minh Chung +1

Quantum computing is progressing beyond experimental prototypes toward cloud-based services and commercially deployed turnkey systems. Evaluating and comparing platform performance…

cs.RO2024

4D-based Robot Navigation Using Relativistic Image Processing

Simone Müller, Dieter Kranzlmüller

Machine perception is an important prerequisite for safe interaction and locomotion in dynamic environments. This requires not only the timely perception of surrounding geometries…

cs.ET2023★ 15 cited

Integration of Quantum Accelerators with High Performance Computing -- A Review of Quantum Programming Tools

Amr Elsharkawy, Xiao-Ting Michelle To, Philipp Seitz +9

Quantum computing (QC) introduces a novel mode of computation with the possibility of greater computational power that remains to be exploited - presenting exciting opportunities f…

cs.DC2023

Towards Confidential Computing: A Secure Cloud Architecture for Big Data Analytics and AI

Naweiluo Zhou, Florent Dufour, Vinzent Bode +3

Cloud computing provisions computer resources at a cost-effective way based on demand. Therefore it has become a viable solution for big data analytics and artificial intelligence…

quant-ph2022★ 36 cited

Quantum Transfer Learning for Real-World, Small, and High-Dimensional Datasets

Soronzonbold Otgonbaatar, Gottfried Schwarz, Mihai Datcu +1

Quantum machine learning (QML) networks promise to have some computational (or quantum) advantage for classifying supervised datasets (e.g., satellite images) over some conventiona…