Cover Image

Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kruse, Georg, Dragan, Theodora-Augustina, Wille, Robert, Lorenz, Jeanette Miriam
Format:	Preprint
Published:	2023
Subjects:	Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Benchmarking Quantum Reinforcement Learning
by: Kruse, Georg, et al.
Published: (2025)

Quantum Multi-Agent Reinforcement Learning for Aerial Ad-hoc Networks
by: Drăgan, Theodora-Augustina, et al.
Published: (2024)

CleanQRL: Lightweight Single-file Implementations of Quantum Reinforcement Learning Algorithms
by: Kruse, Georg, et al.
Published: (2025)

Hamiltonian-based Quantum Reinforcement Learning for Neural Combinatorial Optimization
by: Kruse, Georg, et al.
Published: (2024)

Understanding the effects of data encoding on quantum-classical convolutional neural networks
by: Monnet, Maureen, et al.
Published: (2024)

QAOA-Predictor: Forecasting Success Probabilities and Minimal Depths for Efficient Fixed-Parameter Optimization
by: Coelho, Rodrigo, et al.
Published: (2026)

The QuaST Decision Tree: Achieving Automation With Data-Based Recommendations
by: Poggel, Benedikt, et al.
Published: (2026)

Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset
by: Sakhnenko, Alona, et al.
Published: (2024)

Reinforcement Learning for Variational Quantum Circuits Design
by: Foderà, Simone, et al.
Published: (2024)

Benchmarking the Variational Quantum Eigensolver using different quantum hardware
by: Bentellis, Amine, et al.
Published: (2023)

Solving Combinatorial Optimization Problems with a Block Encoding Quantum Optimizer
by: Bärligea, Adelina, et al.
Published: (2024)

Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning
by: Winderl, David, et al.
Published: (2024)

Application-Driven Benchmarking of the Traveling Salesperson Problem: a Quantum Hardware Deep-Dive
by: Bentellis, Amine, et al.
Published: (2025)

A Hyperparameter Study for Quantum Kernel Methods
by: Egginger, Sebastian, et al.
Published: (2023)

Discovering Data Encoding Strategies for Quantum-Classical Neural Networks Using Monte Carlo Tree Search
by: Tokuhiro, Lena, et al.
Published: (2026)

Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models
by: Wu, Tongyan, et al.
Published: (2025)

Efficient Encodings of the Travelling Salesperson Problem for Variational Quantum Algorithms
by: Schnaus, Manuel, et al.
Published: (2024)

Creating Automated Quantum-Assisted Solutions for Optimization Problems
by: Poggel, Benedikt, et al.
Published: (2024)

Quantum Patch-Based Autoencoder for Anomaly Segmentation
by: Madeira, Maria Francisca, et al.
Published: (2024)

Qubit Reuse Beyond Reorder and Reset: Optimizing Quantum Circuits by Fully Utilizing the Potential of Dynamic Circuits
by: Rovara, Damian, et al.
Published: (2025)

Predicting Good Quantum Circuit Compilation Options
by: Quetschlich, Nils, et al.
Published: (2022)

Improving Figures of Merit for Quantum Circuit Compilation
by: Hopf, Patrick, et al.
Published: (2025)

Quantum Hierarchical Reinforcement Learning via Variational Quantum Circuits
by: Lee, Yu-Ting, et al.
Published: (2026)

Minimizing the Number of Code Switching Operations in Fault-Tolerant Quantum Circuits
by: Weilandt, Erik, et al.
Published: (2025)

Reducing the Compilation Time of Quantum Circuits Using Pre-Compilation on the Gate Level
by: Quetschlich, Nils, et al.
Published: (2023)

Scalability Challenges in Variational Quantum Optimization under Stochastic Noise
by: Bärligea, Adelina, et al.
Published: (2025)

MQT Predictor: Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing
by: Quetschlich, Nils, et al.
Published: (2023)

Scoring-based Static Variable Ordering for Decision Diagram-based Quantum Circuit Simulation
by: Kimura, Yusuke, et al.
Published: (2025)

Quantum Circuit Optimization for the Fault-Tolerance Era: Do We Have to Start from Scratch?
by: Forster, Tobias, et al.
Published: (2025)

Compiler Optimization for Quantum Computing Using Reinforcement Learning
by: Quetschlich, Nils, et al.
Published: (2022)

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

Discrete Randomized Smoothing Meets Quantum Computing
by: Wollschläger, Tom, et al.
Published: (2024)

Synthesis and Optimization of Encoding Circuits for Fault-Tolerant Quantum Computation
by: Peham, Tom, et al.
Published: (2026)

Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis
by: Franco, Nicola, et al.
Published: (2024)

Joint Cutting for Hybrid Schrödinger-Feynman Simulation of Quantum Circuits
by: Herzog, Laura S., et al.
Published: (2025)

Quantum-Efficient Kernel Target Alignment
by: Coelho, Rodrigo, et al.
Published: (2025)

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

Accuracy-Cost Trade-offs for Reference VQE Calculations of H$_2$ on IBM Quantum Hardware
by: Larrucea, Julen, et al.
Published: (2026)

Enhancing the Scalability of Classical Surrogates for Real-World Quantum Machine Learning Applications
by: Hernicht, Philip Anton, et al.
Published: (2025)

Learning Equivariant Maps with Variational Quantum Circuits
by: Bradshaw, Zachary P., et al.
Published: (2024)