Michael Kölle

Neural Comput. Appl., August, 2025

Accelerated VQE: Parameter Recycling for Similar Recurring Problem Instances.

[BibT_eX]

[DOI]

Tobias Rohe

Jonas Stein

Leo Sünkel

Proceedings of the Innovations for Community Services - 25th International Conference, 2025

Evaluating Parameter-Based Training Performance of Neural Networks and Variational Quantum Circuits.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2025, 2025

Qandle: Accelerating State Vector Simulation Using Gate-Matrix Caching and Circuit Splitting.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

QMamba: Quantum Selective State Space Models for Text Generation.

[BibT_eX]

[DOI]

Gerhard Stenzel

Tobias Rohe

Jonas Nüßlein

Thomas Gabor

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

Investigating Parameter-Efficiency of Hybrid QuGANs Based on Geometric Properties of Generated Sea Route Graphs.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

Coconut Palm Tree Counting on Drone Images with Deep Object Detection and Synthetic Training Data.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

Optimization of Link Configuration for Satellite Communication Using Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

PIMAEX: Multi-Agent Exploration Through Peer Incentivization.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

Quantum Circuit Construction and Optimization through Hybrid Evolutionary Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

Evaluating Mutation Techniques in Genetic-Algorithm-Based Quantum Circuit Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

From Problem to Solution: A General Pipeline to Solve Optimisation Problems on Quantum Hardware.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information and Communication, 2025

2024

Emergent cooperation from mutual acknowledgment exchange in multi-agent reinforcement learning.

[BibT_eX]

[DOI]

Auton. Agents Multi Agent Syst., December, 2024

Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling.

[BibT_eX]

[DOI]

CoRR, 2024

MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange.

[BibT_eX]

[DOI]

CoRR, 2024

SEGym: Optimizing Large Language Model Assisted Software Engineering Agents with Reinforcement Learning.

[BibT_eX]

[DOI]

Marian Lingsch Rosenfeld

Proceedings of the Bridging the Gap Between AI and Reality, 2024

A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Software, 2024

Quantum Denoising Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Software, 2024

Cohesive Quantum Circuit Layer Construction with Reinforcement Learning.

[BibT_eX]

[DOI]

Thomas Gabor

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Solving Max-3SAT Using QUBO Approximation.

[BibT_eX]

[DOI]

Sebastian Feld

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

On the Quantum Impact in Hybrid Classical-Quantum Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Challenges for Reinforcement Learning in Quantum Circuit Design.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Towards Federated Learning on the Quantum Internet.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2024, 2024

Quantum Federated Learning for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Sequential Hamiltonian Assembly: Enhancing the Training of Combinatorial Optimization Problems on Quantum Computers.

[BibT_eX]

[DOI]

Proceedings of the Agents and Artificial Intelligence - 16th International Conference, 2024

ClusterComm: Discrete Communication in Decentralized MARL Using Internal Representation Clustering.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization.

[BibT_eX]

[DOI]

Proceedings of the Agents and Artificial Intelligence - 16th International Conference, 2024

Quantum Transfer Learning: The Impact of Classical Preprocessing.

[BibT_eX]

[DOI]

Proceedings of the Agents and Artificial Intelligence - 16th International Conference, 2024

Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Benchmarking Quantum Surrogate Models on Scarce and Noisy Data.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Quantum Advantage Actor-Critic for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics Through Multi-Agent Reinforcement Learning Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Towards Efficient Quantum Anomaly Detection: One-Class SVMs Using Variable Subsampling and Randomized Measurements.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Quantum Circuit Design: A Reinforcement Learning Challenge.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Challenges for Reinforcement Learning in Quantum Computing.

[BibT_eX]

[DOI]

CoRR, 2023

Introducing Reducing-Width-QNNs, an AI-inspired Ansatz design pattern.

[BibT_eX]

[DOI]

CoRR, 2023

Quantum Surrogate Modeling for Chemical and Pharmaceutical Development.

[BibT_eX]

[DOI]

CoRR, 2023

Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Learning to Participate Through Trading of Reward Shares.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Compression of GPS Trajectories Using Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Weight Re-mapping for Variational Quantum Algorithms.

[BibT_eX]

[DOI]

Alessandro Giovagnoli

Jonas Stein

Julian Hager

Tobias Rohe

Robert Müller

Proceedings of the Agents and Artificial Intelligence - 15th International Conference, 2023

Improving Convergence for Quantum Variational Classifiers Using Weight Re-Mapping.

[BibT_eX]

[DOI]

Alessandro Giovagnoli

Jonas Stein

Julian Hager

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

VoronoiPatches: Evaluating a New Data Augmentation Method.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Improving Primate Sounds Classification Using Binary Presorting for Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Deep Learning Theory and Applications - 4th International Conference, 2023

Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Decentralized scheduling through an adaptive, trading-based multi-agent system.

[BibT_eX]

[DOI]

Lennart Rietdorf

Kyrill Schmid

CoRR, 2022

Constructing Organism Networks from Collaborative Self-Replicators.

[BibT_eX]

[DOI]

Thomas Gabor

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Quantifying Multimodality in World Models.

[BibT_eX]

[DOI]