Cover Image

Topology-Guided Quantum GANs for Constrained Graph Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rohe, Tobias, Baumann, Markus, Poppel, Michael, Stenzel, Gerhard, Zorn, Maximilian, Linnhoff-Popien, Claudia
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Investigating Parameter-Efficiency of Hybrid QuGANs Based on Geometric Properties of Generated Sea Route Graphs
by: Rohe, Tobias, et al.
Published: (2025)

Quantum King-Ring Domination in Chess: A QAOA Approach
by: Stenzel, Gerhard, et al.
Published: (2026)

Illustration of Barren Plateaus in Quantum Computing
by: Stenzel, Gerhard, et al.
Published: (2026)

Reinforcement Learning for Parameterized Quantum State Preparation: A Comparative Study
by: Stenzel, Gerhard, et al.
Published: (2026)

Architecture Shape Governs QNN Trainability: Jacobian Null Space Growth and Parameter Efficiency
by: Poppel, Michael, et al.
Published: (2026)

Quantum Generator Kernels
by: Altmann, Philipp, et al.
Published: (2026)

Quantum Architecture Search for Solving Quantum Machine Learning Tasks
by: Kölle, Michael, et al.
Published: (2025)

Mitigating Exponential Mixed Frequency Growth through Frequency Selection
by: Poppel, Michael, et al.
Published: (2025)

Long Range Frequency Tuning for QML
by: Poppel, Michael, et al.
Published: (2026)

Detrimental Agnostic Entanglement: The Case Against Hardware-Efficient Ansätze for Combinatorial Optimization
by: Rohe, Tobias, et al.
Published: (2026)

Investigating the Lottery Ticket Hypothesis for Variational Quantum Circuits
by: Kölle, Michael, et al.
Published: (2025)

Quantum Boltzmann Machines using Parallel Annealing for Medical Image Classification
by: Schuman, Daniëlle, et al.
Published: (2025)

Parity Supervision as a Driver of Generalization in Quantum Generative Modeling
by: Baumann, Markus, et al.
Published: (2026)

Reorganizing Quantum Measurement Records Improves Time-Series Prediction
by: Baumann, Markus, et al.
Published: (2026)

Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly
by: Stein, Jonas, et al.
Published: (2023)

Emergent Cooperation in Quantum Multi-Agent Reinforcement Learning Using Communication
by: Kölle, Michael, et al.
Published: (2026)

Quantum Advantage Actor-Critic for Reinforcement Learning
by: Kölle, Michael, et al.
Published: (2024)

An Evaluation of the Remote CX Protocol under Noise in Distributed Quantum Computing
by: Sünkel, Leo, et al.
Published: (2026)

Evaluating Mutation Techniques in Genetic Algorithm-Based Quantum Circuit Synthesis
by: Kölle, Michael, et al.
Published: (2025)

Constrained Quantum Optimization via Iterative Warm-Start XY-Mixers
by: Bucher, David, et al.
Published: (2026)

A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning
by: Kölle, Michael, et al.
Published: (2024)

Evaluating Variational Quantum Circuit Architectures for Distributed Quantum Computing
by: Sünkel, Leo, et al.
Published: (2025)

Introducing Reduced-Width QNNs, an AI-inspired Ansatz Design Pattern
by: Stein, Jonas, et al.
Published: (2023)

Analysis of quantum neural network performance via edge cases
by: Mansky, Maximilian Balthasar, et al.
Published: (2025)

Clique detection using symmetry-restricted quantum circuits
by: Mansky, Maximilian Balthasar, et al.
Published: (2025)

Evaluating Parameter-Based Training Performance of Neural Networks and Variational Quantum Circuits
by: Kölle, Michael, et al.
Published: (2025)

Time-Aware Qubit Assignment and Circuit Optimization for Distributed Quantum Computing
by: Sünkel, Leo, et al.
Published: (2025)

From Problem to Solution: A general Pipeline to Solve Optimisation Problems on Quantum Hardware
by: Rohe, Tobias, et al.
Published: (2024)

Quality Diversity for Variational Quantum Circuit Optimization
by: Zorn, Maximilian, et al.
Published: (2025)

Evolutionary-Based Circuit Optimization for Distributed Quantum Computing
by: Sünkel, Leo, et al.
Published: (2025)

A Constant Measurement Quantum Algorithm for Graph Connectivity
by: Mansky, Maximilian Balthasar, et al.
Published: (2024)

Quantum Circuit Construction and Optimization through Hybrid Evolutionary Algorithms
by: Sünkel, Leo, et al.
Published: (2025)

Accelerated VQE: Parameter Recycling for Similar Recurring Problem Instances
by: Rohe, Tobias, et al.
Published: (2025)

Challenges for Reinforcement Learning in Quantum Circuit Design
by: Altmann, Philipp, et al.
Published: (2023)

Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures
by: Kölle, Michael, et al.
Published: (2023)

A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis
by: Kölle, Michael, et al.
Published: (2024)

The Questionable Influence of Entanglement in Quantum Optimisation Algorithms
by: Rohe, Tobias, et al.
Published: (2024)

Quantum Denoising Diffusion Models
by: Kölle, Michael, et al.
Published: (2024)

Optimizing Sensor Redundancy in Sequential Decision-Making Problems
by: Nüßlein, Jonas, et al.
Published: (2024)

Quantum Optimization Methods for the Generalized Traveling Salesman Problem
by: Zorn, Maximilian, et al.
Published: (2026)