activity
20232026
most citedTraining Computer Scientists for the Challenges of Hybrid Quantum-Classical Computing

8 citations · 8 across the 4 of their papers we have counts for

collaborators

5 papers

quant-ph2026

In-orbit operation of a programmable quantum photonic processor

Simon Steiner, Peter Schiansky, Antonius Scherer +17

Quantum technologies promise computational capabilities beyond the reach of classical systems. A forward-looking application lies in satellite missions, which increasingly depend o…

cs.LG2026

Multitask Learning for Earth Observation Data Classification with Hybrid Quantum Network

Fan Fan, Yilei Shi, Tobias Guggemos +1

Quantum machine learning (QML) has gained increasing attention as a potential solution to address the challenges of computation requirements in the future. Earth observation (EO) h…

quant-ph2026

Adaptive Framework for Failure-Aware Protocols in Fusion-Based Graph-State Generation

Korbinian Staudacher, Bhilahari Jeevanesan, Tobias Guggemos

We consider the generation of photonic graph states in a linear optics setting where sequential non-deterministic fusion measurements are used to build large graph states out of sm…

physics.ed-ph2024★ 8 cited

Training Computer Scientists for the Challenges of Hybrid Quantum-Classical Computing

Vincenzo De Maio, Meerzhan Kanatbekova, Felix Zilk +3

As we enter the post-Moore era, we experience the rise of various non-von-Neumann-architectures to address the increasing computational demand for modern applications, with quantum…

quant-ph2023

Programmable multi-photon quantum interference in a single spatial mode

Lorenzo Carosini, Virginia Oddi, Francesco Giorgino +7

The interference of non-classical states of light enables quantum-enhanced applications reaching from metrology to computation. Most commonly, the polarisation or spatial location…