Saved in:
| Main Authors: | Rohe, Tobias, Baumann, Markus, Ruiloba, Federico Harjes, Altmann, Philipp, Stenzel, Gerhard, Linnhoff-Popien, Claudia |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.19827 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Quantum Computer Benchmarking: An Explorative Systematic Literature Review
by: Rohe, Tobias, et al.
Published: (2025)
by: Rohe, Tobias, et al.
Published: (2025)
Topology-Guided Quantum GANs for Constrained Graph Generation
by: Rohe, Tobias, et al.
Published: (2025)
by: Rohe, Tobias, 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)
Quantum Circuit Construction and Optimization through Hybrid Evolutionary Algorithms
by: Sünkel, Leo, et al.
Published: (2025)
by: Sünkel, Leo, et al.
Published: (2025)
Illustration of Barren Plateaus in Quantum Computing
by: Stenzel, Gerhard, et al.
Published: (2026)
by: Stenzel, Gerhard, et al.
Published: (2026)
Investigating the Lottery Ticket Hypothesis for Variational Quantum Circuits
by: Kölle, Michael, et al.
Published: (2025)
by: Kölle, Michael, et al.
Published: (2025)
Parity Supervision as a Driver of Generalization in Quantum Generative Modeling
by: Baumann, Markus, et al.
Published: (2026)
by: Baumann, Markus, et al.
Published: (2026)
Reinforcement Learning for Parameterized Quantum State Preparation: A Comparative Study
by: Stenzel, Gerhard, et al.
Published: (2026)
by: Stenzel, Gerhard, et al.
Published: (2026)
Quantum King-Ring Domination in Chess: A QAOA Approach
by: Stenzel, Gerhard, et al.
Published: (2026)
by: Stenzel, Gerhard, et al.
Published: (2026)
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)
The Questionable Influence of Entanglement in Quantum Optimisation Algorithms
by: Rohe, Tobias, et al.
Published: (2024)
by: Rohe, Tobias, et al.
Published: (2024)
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)
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)
Introducing Reduced-Width QNNs, an AI-inspired Ansatz Design Pattern
by: Stein, Jonas, et al.
Published: (2023)
by: Stein, Jonas, et al.
Published: (2023)
Evaluating Variational Quantum Circuit Architectures for Distributed Quantum Computing
by: Sünkel, Leo, et al.
Published: (2025)
by: Sünkel, Leo, 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)
Analysis of quantum neural network performance via edge cases
by: Mansky, Maximilian Balthasar, et al.
Published: (2025)
by: Mansky, Maximilian Balthasar, et al.
Published: (2025)
Clique detection using symmetry-restricted quantum circuits
by: Mansky, Maximilian Balthasar, et al.
Published: (2025)
by: Mansky, Maximilian Balthasar, et al.
Published: (2025)
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)
PIMAEX: Multi-Agent Exploration through Peer Incentivization
by: Kölle, Michael, et al.
Published: (2025)
by: Kölle, Michael, et al.
Published: (2025)
Quantum Generator Kernels
by: Altmann, Philipp, et al.
Published: (2026)
by: Altmann, Philipp, 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)
Quality Diversity for Variational Quantum Circuit Optimization
by: Zorn, Maximilian, et al.
Published: (2025)
by: Zorn, Maximilian, et al.
Published: (2025)
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization
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)
Quantum Denoising Diffusion Models
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Reorganizing Quantum Measurement Records Improves Time-Series Prediction
by: Baumann, Markus, et al.
Published: (2026)
by: Baumann, Markus, 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)
Reducing QAOA Circuit Depth by Factoring out Semi-Symmetries
by: Nüßlein, Jonas, et al.
Published: (2024)
by: Nüßlein, Jonas, et al.
Published: (2024)
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly
by: Stein, Jonas, et al.
Published: (2023)
by: Stein, Jonas, et al.
Published: (2023)
A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
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)
Solving graph problems using permutation-invariant quantum machine learning
by: Mansky, Maximilian Balthasar, et al.
Published: (2025)
by: Mansky, Maximilian Balthasar, et al.
Published: (2025)
Long Range Frequency Tuning for QML
by: Poppel, Michael, et al.
Published: (2026)
by: Poppel, Michael, et al.
Published: (2026)
Evaluating Mutation Techniques in Genetic Algorithm-Based Quantum Circuit Synthesis
by: Kölle, Michael, et al.
Published: (2025)
by: Kölle, Michael, 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)
Quantum Boltzmann Machines using Parallel Annealing for Medical Image Classification
by: Schuman, Daniëlle, et al.
Published: (2025)
by: Schuman, Daniëlle, et al.
Published: (2025)
Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization
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 Advantage Actor-Critic for Reinforcement Learning
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Similar Items
-
Quantum Computer Benchmarking: An Explorative Systematic Literature Review
by: Rohe, Tobias, et al.
Published: (2025) -
Topology-Guided Quantum GANs for Constrained Graph Generation
by: Rohe, Tobias, et al.
Published: (2025) -
Quantum Architecture Search for Solving Quantum Machine Learning Tasks
by: Kölle, Michael, et al.
Published: (2025) -
Quantum Circuit Construction and Optimization through Hybrid Evolutionary Algorithms
by: Sünkel, Leo, et al.
Published: (2025) -
Illustration of Barren Plateaus in Quantum Computing
by: Stenzel, Gerhard, et al.
Published: (2026)