An Empirical Evaluation of Quantum Annealing-Based Image Classification Using Discriminative Quantum Boltzmann Machines

Zeitfensterbasierte Optimierung der Kommunikationskosten im Verteilten Quantencomputing

Quantum Architecture Search for Solving Quantum Machine Learning Tasks

Analysis and Improvement of Retrieval Quality in the Context of RAG using LLMs on the Code Domain

Quantum Transformers: Leveraging Variational Quantum Circuits for Natural Language Processing

Confidence-based Reinforcement Learning for Collision Avoidance in Robotic Grasping

Exploring Second-Order Predator-Prey Marine Ecosystem Balance with MARL

Verwendung evolutionärer Algorithmen zur Optimierung von Quantenschaltkreisen unter der Berücksichtigung von Noise

Emergent Cooperation in Quantum Multi-Agent Reinforcement Learning Using Communication

Analyzing the Parameter Adaption of Transfer Learning in Variational Quantum Eigensolvers

Problem-Specific Entanglement in Variational Quantum Circuits

Cooperative Sequential Robotic Manipulation with Multi-Agent Reinforcement Learning

Exploring Entanglement-intensity in Variational Quantum Eigensolver Algorithms for Combinatorial Optimization

Ermittlung von Verknüpfungen in Produktdaten mittels Quantum Restricted Boltzmann Machines

Emerging Cooperation through Quantum Entanglement in Multi-Agent Systems

QUBO-Generierung für (MAX-)3SAT mittels generativer KI-Methoden

Distributed Quantum Machine Learning – Training and Evaluating a Machine Learning Model on a Distributed Quantum Computing Simulator

Multi-Objective Reinforcement Learning using Evolutionary Algorithms for Diverse Policy Selection

Minimierung der Teleportation und Steigerung der Fidelity in Distributed Quantum Computing mittels eines multiobjektiven evolutionären Algorithmus

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

Leveraging Preconditioning to Speed Up Quantum Simulation-Based Optimization

Space-Efficient Quantum Optimization for the Traveling Salesman Problem via Binary Encoding of Feasible Solutions

Warm Starting Variational Quantum Algorithms for Parameterized Combinatorial Optimization

Emergent Behavior in Self-Evaluating Genetic Programming Based on 𝜆-Expressions

Circuit Partitioning and Genetic Optimization for Efficient Qubit Distribution in Distributed Quantum Computing

Vergleich verschiedener hybrider Quantum Machine Learning Ansätze zur Klassifikation von Bildern auf Quantencomputern

Reinforcement Learning-gestützte State Preparation mithilfe von parametrisierten Quantengattern

Evaluating Mutation Techniques in Genetic Algorithm-Based Quantum Circuit Synthesis

Update Behavior of Neural Networks Trained in Alternation with an Additional Auxiliary Task

The Trainability of Quantum Federated Learning