collaborators

5 papers

quant-ph2026

Quantum Computing -- Strategic Recommendations for the Industry

Marvin Erdmann, Lukas Karch, Abhishek Awasthi +9

This whitepaper surveys the current landscape and short- to mid-term prospects for quantum-enabled optimization and machine learning use cases in industrial settings. Grounded in t…

quant-ph2025

Towards solving industrial integer linear programs with Decoded Quantum Interferometry

Francesc Sabater, Ouns El Harzli, Geert-Jan Besjes +6

Optimization via decoded quantum interferometry (DQI) has recently gained a great deal of attention as a promising avenue for solving optimization problems using quantum computers.…

cs.ET2025

Quantum Annealing Hyperparameter Analysis for Optimal Sensor Placement in Production Environments

Nico Kraus, Marvin Erdmann, Alexander Kuzmany +2

To increase efficiency in automotive manufacturing, newly produced vehicles can move autonomously from the production line to the distribution area. This requires an optimal placem…

quant-ph2025

BenchQC -- Scalable and modular benchmarking of industrial quantum computing applications

Florian Geissler, Eric Stopfer, Christian Ufrecht +19

We present BenchQC, a research project funded by the state of Bavaria, which promotes an application-centric perspective for benchmarking real-world quantum applications. Diverse u…

quant-ph2025

Quantum Computing for Automotive Applications

Carlos A. Riofrío, Johannes Klepsch, Jernej Rudi Finžgar +7

Quantum computing could impact various industries, with the automotive industry with many computational challenges, from optimizing supply chains and manufacturing to vehicle engin…