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

Investigating the Lottery Ticket Hypothesis for Variational Quantum Circuits

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

Learning Independent Multi-Agent Flocking Behavior With Reinforcement Learning

Enhancing Object Recognition with Uncertainty-Based Fusion Techniques: A Comparative Analysis of Voting Techniques and Machine Learning Models

An Evolutionary Algorithm with Similarity-Based Variation for Job-Shop Scheduling

Neural Networks with a Regulatory Second Task on Neuron Level

State Preparation on Quantum Hardware Using an Island Genetic Algorithm

Quantum Reinforcement Learning via Parameterized Quantum Walks

CUAOA: A Novel CUDA-Accelerated Simulation Framework for the Quantum Approximate Optimization Algorithm

Explainable Time Series Forecasting using exogenous variables – How weather affects the stock market

A Path Towards Quantum Advantage for the Unit Commitment Problem

Evolutionäre Operatoren zur Optimierung von Prompts für die Codegenerierung durch Large Language Models

Measuring Relatedness in Evolutionary Algorithms via Superfluous Genes

Exploring QuGANs for realistic graph generation – an exploratory study