Konstruktion von Quantenschaltkreisen mit eingeschränkten Gattern

Balancing Populations with Multi-Agent Reinforcement Learning

Path-Connectedness of the Boundary between Features that Are Labeled Differently by a Single Layer Perceptron

Consensus-Based Mutual Acknowledgment Token Exchange

A Reinforcement Learning Environment for directed Quantum Circuit Synthesis

Final Productive Fitness in Evolutionary Algorithms and its Approximation via Neural Network Surrogates

The Impact of Action Order in Multi-Agent Reinforcement Learning

Development of a Universal Multi-Agent Reinforcement Learning Environment for Predator-Prey Research

Efficient semi-supervised quantum anomaly detection using one-class support vector machines

Empowerment for Evolutionary Algorithms

Using Quantum Machine Learning to Predict Asset Prices in Financial Markets

Dimensionality Reduction with Autoencoders for Efficient Classification with Variational Quantum Circuits

Quantum-Enhanced Denoising Diffusion Models

Approximating Quadratic Unconstrained Binary Optimization Problems using Graph Convolutional Neural Networks

Coconut Palm Tree Counting in Drone Images with Deep Object Detection

Einfluss von Embedding Methoden auf Generalisierbarkeit in Quantum Machine Learning

Community detection für gewichtete Graphen mittels Trennknotenerkennung in der NISQ Ära

Anwendung von Graphpartitionierungsalgorithmen und genetischen Algorithmen zur Optimierung der Teleportationskosten in verteilten Quantenschaltkreisen

Multi-Agent Exploration through Peer Incentivization

Genetic Neuron Selection for Deep Neural Networks

Quantum-Multi-Agent-Reinforcement-Learning mit Evolutionärer Optimierung

Anomaly Detection using Quantum Circuit Born Machines

Efficient Quantum Circuit Architecture for Coined Quantum Walks on many Bipartite Graphs