Benchmarking Quantum Reinforcement Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Kruse, Georg, Coelho, Rodrigo, Rosskopf, Andreas, Wille, Robert, Lorenz, Jeanette Miriam |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
CleanQRL: Lightweight Single-file Implementations of Quantum Reinforcement Learning Algorithms
por: Kruse, Georg, et al.
Publicado: (2025)
por: Kruse, Georg, et al.
Publicado: (2025)
Hamiltonian-based Quantum Reinforcement Learning for Neural Combinatorial Optimization
por: Kruse, Georg, et al.
Publicado: (2024)
por: Kruse, Georg, et al.
Publicado: (2024)
Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments
por: Kruse, Georg, et al.
Publicado: (2023)
por: Kruse, Georg, et al.
Publicado: (2023)
Quantum-Efficient Kernel Target Alignment
por: Coelho, Rodrigo, et al.
Publicado: (2025)
por: Coelho, Rodrigo, et al.
Publicado: (2025)
QAOA-Predictor: Forecasting Success Probabilities and Minimal Depths for Efficient Fixed-Parameter Optimization
por: Coelho, Rodrigo, et al.
Publicado: (2026)
por: Coelho, Rodrigo, et al.
Publicado: (2026)
The QuaST Decision Tree: Achieving Automation With Data-Based Recommendations
por: Poggel, Benedikt, et al.
Publicado: (2026)
por: Poggel, Benedikt, et al.
Publicado: (2026)
Application-Driven Benchmarking of the Traveling Salesperson Problem: a Quantum Hardware Deep-Dive
por: Bentellis, Amine, et al.
Publicado: (2025)
por: Bentellis, Amine, et al.
Publicado: (2025)
Quantum Multi-Agent Reinforcement Learning for Aerial Ad-hoc Networks
por: Drăgan, Theodora-Augustina, et al.
Publicado: (2024)
por: Drăgan, Theodora-Augustina, et al.
Publicado: (2024)
Benchmarking the Variational Quantum Eigensolver using different quantum hardware
por: Bentellis, Amine, et al.
Publicado: (2023)
por: Bentellis, Amine, et al.
Publicado: (2023)
Solving Combinatorial Optimization Problems with a Block Encoding Quantum Optimizer
por: Bärligea, Adelina, et al.
Publicado: (2024)
por: Bärligea, Adelina, et al.
Publicado: (2024)
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning
por: Winderl, David, et al.
Publicado: (2024)
por: Winderl, David, et al.
Publicado: (2024)
Discovering Data Encoding Strategies for Quantum-Classical Neural Networks Using Monte Carlo Tree Search
por: Tokuhiro, Lena, et al.
Publicado: (2026)
por: Tokuhiro, Lena, et al.
Publicado: (2026)
A Hyperparameter Study for Quantum Kernel Methods
por: Egginger, Sebastian, et al.
Publicado: (2023)
por: Egginger, Sebastian, et al.
Publicado: (2023)
Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models
por: Wu, Tongyan, et al.
Publicado: (2025)
por: Wu, Tongyan, et al.
Publicado: (2025)
Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset
por: Sakhnenko, Alona, et al.
Publicado: (2024)
por: Sakhnenko, Alona, et al.
Publicado: (2024)
Creating Automated Quantum-Assisted Solutions for Optimization Problems
por: Poggel, Benedikt, et al.
Publicado: (2024)
por: Poggel, Benedikt, et al.
Publicado: (2024)
Quantum Patch-Based Autoencoder for Anomaly Segmentation
por: Madeira, Maria Francisca, et al.
Publicado: (2024)
por: Madeira, Maria Francisca, et al.
Publicado: (2024)
Compiler Optimization for Quantum Computing Using Reinforcement Learning
por: Quetschlich, Nils, et al.
Publicado: (2022)
por: Quetschlich, Nils, et al.
Publicado: (2022)
Accuracy-Cost Trade-offs for Reference VQE Calculations of H$_2$ on IBM Quantum Hardware
por: Larrucea, Julen, et al.
Publicado: (2026)
por: Larrucea, Julen, et al.
Publicado: (2026)
Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis
por: Franco, Nicola, et al.
Publicado: (2024)
por: Franco, Nicola, et al.
Publicado: (2024)
Enhancing the Scalability of Classical Surrogates for Real-World Quantum Machine Learning Applications
por: Hernicht, Philip Anton, et al.
Publicado: (2025)
por: Hernicht, Philip Anton, et al.
Publicado: (2025)
Discrete Randomized Smoothing Meets Quantum Computing
por: Wollschläger, Tom, et al.
Publicado: (2024)
por: Wollschläger, Tom, et al.
Publicado: (2024)
Predominant Aspects on Security for Quantum Machine Learning: Literature Review
por: Franco, Nicola, et al.
Publicado: (2024)
por: Franco, Nicola, et al.
Publicado: (2024)
Identifying Bottlenecks of NISQ-friendly HHL algorithms
por: Marfany, Marc Andreu, et al.
Publicado: (2024)
por: Marfany, Marc Andreu, et al.
Publicado: (2024)
Benchmarking Quantum Generative Learning: A Study on Scalability and Noise Resilience using QUARK
por: Kiwit, Florian J., et al.
Publicado: (2024)
por: Kiwit, Florian J., et al.
Publicado: (2024)
Quantum-Assisted Solution Paths for the Capacitated Vehicle Routing Problem
por: Palackal, Lilly, et al.
Publicado: (2023)
por: Palackal, Lilly, et al.
Publicado: (2023)
Hybrid Meta-Solving for Practical Quantum Computing
por: Eichhorn, Domenik, et al.
Publicado: (2024)
por: Eichhorn, Domenik, et al.
Publicado: (2024)
Orchestrating Multi-Zone Shuttling in Trapped-Ion Quantum Computers
por: Schoenberger, Daniel, et al.
Publicado: (2025)
por: Schoenberger, Daniel, et al.
Publicado: (2025)
Efficient Encodings of the Travelling Salesperson Problem for Variational Quantum Algorithms
por: Schnaus, Manuel, et al.
Publicado: (2024)
por: Schnaus, Manuel, et al.
Publicado: (2024)
A Framework for Debugging Quantum Programs
por: Rovara, Damian, et al.
Publicado: (2024)
por: Rovara, Damian, et al.
Publicado: (2024)
Understanding the effects of data encoding on quantum-classical convolutional neural networks
por: Monnet, Maureen, et al.
Publicado: (2024)
por: Monnet, Maureen, et al.
Publicado: (2024)
Automatically Refining Assertions for Efficient Debugging of Quantum Programs
por: Rovara, Damian, et al.
Publicado: (2024)
por: Rovara, Damian, et al.
Publicado: (2024)
A Framework to Formulate Pathfinding Problems for Quantum Computing
por: Rovara, Damian, et al.
Publicado: (2024)
por: Rovara, Damian, et al.
Publicado: (2024)
Quantum Hardware-Efficient Selection of Auxiliary Variables for QUBO Formulations
por: Rovara, Damian, et al.
Publicado: (2025)
por: Rovara, Damian, et al.
Publicado: (2025)
A Framework for the Efficient Evaluation of Runtime Assertions on Quantum Computers
por: Rovara, Damian, et al.
Publicado: (2025)
por: Rovara, Damian, et al.
Publicado: (2025)
Minimizing the Number of Code Switching Operations in Fault-Tolerant Quantum Circuits
por: Weilandt, Erik, et al.
Publicado: (2025)
por: Weilandt, Erik, et al.
Publicado: (2025)
HamilToniQ: An Open-Source Benchmark Toolkit for Quantum Computers
por: Xu, Xiaotian, et al.
Publicado: (2024)
por: Xu, Xiaotian, et al.
Publicado: (2024)
Reducing the Compilation Time of Quantum Circuits Using Pre-Compilation on the Gate Level
por: Quetschlich, Nils, et al.
Publicado: (2023)
por: Quetschlich, Nils, et al.
Publicado: (2023)
Scalability Challenges in Variational Quantum Optimization under Stochastic Noise
por: Bärligea, Adelina, et al.
Publicado: (2025)
por: Bärligea, Adelina, et al.
Publicado: (2025)
Certifiably Robust Encoding Schemes
por: Saxena, Aman, et al.
Publicado: (2024)
por: Saxena, Aman, et al.
Publicado: (2024)
Ejemplares similares
-
CleanQRL: Lightweight Single-file Implementations of Quantum Reinforcement Learning Algorithms
por: Kruse, Georg, et al.
Publicado: (2025) -
Hamiltonian-based Quantum Reinforcement Learning for Neural Combinatorial Optimization
por: Kruse, Georg, et al.
Publicado: (2024) -
Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments
por: Kruse, Georg, et al.
Publicado: (2023) -
Quantum-Efficient Kernel Target Alignment
por: Coelho, Rodrigo, et al.
Publicado: (2025) -
QAOA-Predictor: Forecasting Success Probabilities and Minimal Depths for Efficient Fixed-Parameter Optimization
por: Coelho, Rodrigo, et al.
Publicado: (2026)