Quantum King-Ring Domination in Chess: A QAOA Approach
Fuente:
arXiv
Saved in:
| Main Authors: | Stenzel, Gerhard, Kölle, Michael, Rohe, Tobias, Hager, Julian, Sünkel, Leo, Zorn, Maximilian, Linnhoff-Popien, Claudia |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reinforcement Learning for Parameterized Quantum State Preparation: A Comparative Study
by: Stenzel, Gerhard, et al.
Published: (2026)
by: Stenzel, Gerhard, et al.
Published: (2026)
Illustration of Barren Plateaus in Quantum Computing
by: Stenzel, Gerhard, et al.
Published: (2026)
by: Stenzel, Gerhard, et al.
Published: (2026)
Emergent Cooperation in Quantum Multi-Agent Reinforcement Learning Using Communication
by: Kölle, Michael, et al.
Published: (2026)
by: Kölle, Michael, et al.
Published: (2026)
Topology-Guided Quantum GANs for Constrained Graph Generation
by: Rohe, Tobias, et al.
Published: (2025)
by: Rohe, Tobias, et al.
Published: (2025)
An Evaluation of the Remote CX Protocol under Noise in Distributed Quantum Computing
by: Sünkel, Leo, et al.
Published: (2026)
by: Sünkel, Leo, et al.
Published: (2026)
Investigating Parameter-Efficiency of Hybrid QuGANs Based on Geometric Properties of Generated Sea Route Graphs
by: Rohe, Tobias, et al.
Published: (2025)
by: Rohe, Tobias, et al.
Published: (2025)
Evaluating Mutation Techniques in Genetic Algorithm-Based Quantum Circuit Synthesis
by: Kölle, Michael, et al.
Published: (2025)
by: Kölle, Michael, et al.
Published: (2025)
Quantum Architecture Search for Solving Quantum Machine Learning Tasks
by: Kölle, Michael, et al.
Published: (2025)
by: Kölle, Michael, et al.
Published: (2025)
Investigating the Lottery Ticket Hypothesis for Variational Quantum Circuits
by: Kölle, Michael, et al.
Published: (2025)
by: Kölle, Michael, et al.
Published: (2025)
Evolutionary-Based Circuit Optimization for Distributed Quantum Computing
by: Sünkel, Leo, et al.
Published: (2025)
by: Sünkel, Leo, et al.
Published: (2025)
Quantum Circuit Construction and Optimization through Hybrid Evolutionary Algorithms
by: Sünkel, Leo, et al.
Published: (2025)
by: Sünkel, Leo, et al.
Published: (2025)
Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures
by: Kölle, Michael, et al.
Published: (2023)
by: Kölle, Michael, et al.
Published: (2023)
Accelerated VQE: Parameter Recycling for Similar Recurring Problem Instances
by: Rohe, Tobias, et al.
Published: (2025)
by: Rohe, Tobias, et al.
Published: (2025)
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly
by: Stein, Jonas, et al.
Published: (2023)
by: Stein, Jonas, et al.
Published: (2023)
Introducing Reduced-Width QNNs, an AI-inspired Ansatz Design Pattern
by: Stein, Jonas, et al.
Published: (2023)
by: Stein, Jonas, et al.
Published: (2023)
Quantum Advantage Actor-Critic for Reinforcement Learning
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Evaluating Variational Quantum Circuit Architectures for Distributed Quantum Computing
by: Sünkel, Leo, et al.
Published: (2025)
by: Sünkel, Leo, et al.
Published: (2025)
Quantum Generator Kernels
by: Altmann, Philipp, et al.
Published: (2026)
by: Altmann, Philipp, et al.
Published: (2026)
Reducing QAOA Circuit Depth by Factoring out Semi-Symmetries
by: Nüßlein, Jonas, et al.
Published: (2024)
by: Nüßlein, Jonas, et al.
Published: (2024)
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Time-Aware Qubit Assignment and Circuit Optimization for Distributed Quantum Computing
by: Sünkel, Leo, et al.
Published: (2025)
by: Sünkel, Leo, et al.
Published: (2025)
Towards Federated Learning on the Quantum Internet
by: Sünkel, Leo, et al.
Published: (2024)
by: Sünkel, Leo, et al.
Published: (2024)
The Questionable Influence of Entanglement in Quantum Optimisation Algorithms
by: Rohe, Tobias, et al.
Published: (2024)
by: Rohe, Tobias, et al.
Published: (2024)
Evaluating Parameter-Based Training Performance of Neural Networks and Variational Quantum Circuits
by: Kölle, Michael, et al.
Published: (2025)
by: Kölle, Michael, et al.
Published: (2025)
Circuit Partitioning for the Quantum Internet
by: Sünkel, Leo, et al.
Published: (2025)
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)
by: Rohe, Tobias, et al.
Published: (2024)
Optimization of Link Configuration for Satellite Communication Using Reinforcement Learning
by: Rohe, Tobias, et al.
Published: (2025)
by: Rohe, Tobias, et al.
Published: (2025)
Quality Diversity for Variational Quantum Circuit Optimization
by: Zorn, Maximilian, et al.
Published: (2025)
by: Zorn, Maximilian, et al.
Published: (2025)
Quantum Denoising Diffusion Models
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Mitigating Exponential Mixed Frequency Growth through Frequency Selection
by: Poppel, Michael, et al.
Published: (2025)
by: Poppel, Michael, et al.
Published: (2025)
Quantum Boltzmann Machines using Parallel Annealing for Medical Image Classification
by: Schuman, Daniëlle, et al.
Published: (2025)
by: Schuman, Daniëlle, et al.
Published: (2025)
Challenges for Reinforcement Learning in Quantum Circuit Design
by: Altmann, Philipp, et al.
Published: (2023)
by: Altmann, Philipp, et al.
Published: (2023)
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines
by: Schuman, Daniëlle, et al.
Published: (2023)
by: Schuman, Daniëlle, et al.
Published: (2023)
Optimizing Sensor Redundancy in Sequential Decision-Making Problems
by: Nüßlein, Jonas, et al.
Published: (2024)
by: Nüßlein, Jonas, et al.
Published: (2024)
Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Detrimental Agnostic Entanglement: The Case Against Hardware-Efficient Ansätze for Combinatorial Optimization
by: Rohe, Tobias, et al.
Published: (2026)
by: Rohe, Tobias, et al.
Published: (2026)
Architecture Shape Governs QNN Trainability: Jacobian Null Space Growth and Parameter Efficiency
by: Poppel, Michael, et al.
Published: (2026)
by: Poppel, Michael, et al.
Published: (2026)
Sequential Hamiltonian Assembly: Enhancing the training of combinatorial optimization problems on quantum computers
by: Roshani, Navid, et al.
Published: (2024)
by: Roshani, Navid, et al.
Published: (2024)
IF-QAOA: A Penalty-Free Approach to Accelerating Constrained Quantum Optimization
by: Bucher, David, et al.
Published: (2025)
by: Bucher, David, et al.
Published: (2025)
Similar Items
-
Reinforcement Learning for Parameterized Quantum State Preparation: A Comparative Study
by: Stenzel, Gerhard, et al.
Published: (2026) -
Illustration of Barren Plateaus in Quantum Computing
by: Stenzel, Gerhard, et al.
Published: (2026) -
Emergent Cooperation in Quantum Multi-Agent Reinforcement Learning Using Communication
by: Kölle, Michael, et al.
Published: (2026) -
Topology-Guided Quantum GANs for Constrained Graph Generation
by: Rohe, Tobias, et al.
Published: (2025) -
An Evaluation of the Remote CX Protocol under Noise in Distributed Quantum Computing
by: Sünkel, Leo, et al.
Published: (2026)