Cover Image

Reinforcement Learning for Quantum Network Control with Application-Driven Objectives

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yau, Guo Xian, Burushkina, Alexandra, da Silva, Francisco Ferreira, Maji, Subhransu, Thomas, Philip S., Vardoyan, Gayane
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Service-the-Longest-Queue Among d Choices Policy for Quantum Entanglement Switching
by: Yau, Guo Xian, et al.
Published: (2025)

A Control Architecture for Entanglement Generation Switches in Quantum Networks
by: Gauthier, Scarlett, et al.
Published: (2023)

Optimistic Entanglement Purification in Quantum Networks
by: Mobayenjarihani, Mohammad, et al.
Published: (2024)

On the Bipartite Entanglement Capacity of Quantum Networks
by: Vardoyan, Gayane, et al.
Published: (2023)

An on-demand resource allocation algorithm for a quantum network hub and its performance analysis
by: Gauthier, Scarlett, et al.
Published: (2024)

Adaptive Policies for Resource Generation in a Quantum Network
by: Tacettin, Aksel, et al.
Published: (2025)

Surrogate-guided optimization in quantum networks
by: Prielinger, Luise, et al.
Published: (2024)

Rate-Fidelity Tradeoffs in All-Photonic and Memory-Equipped Quantum Switches
by: Promponas, Panagiotis, et al.
Published: (2026)

Entanglement Routing over Networks with Time Multiplexed Repeaters
by: Van Milligen, Emily A, et al.
Published: (2023)

Reconfigurable Intelligent Surface (RIS)-Assisted Entanglement Distribution in FSO Quantum Networks
by: Chehimi, Mahdi, et al.
Published: (2024)

Piecemaker: a resource-efficient entanglement distribution protocol
by: Prielinger, Luise, et al.
Published: (2025)

A Framework for Distributed Resource Allocation in Quantum Networks
by: Panigrahy, Nitish K., et al.
Published: (2025)

On the Analysis of Quantum Repeater Chains with Sequential Swaps
by: de Andrade, Matheus Guedes, et al.
Published: (2024)

Leveraging Internet Principles to Build a Quantum Network
by: Bacciottini, Leonardo, et al.
Published: (2024)

Multi-Objective Optimization by Quantum-Annealing-Inspired Algorithms
by: Tao, Xian-Zhe, et al.
Published: (2026)

QAS-QTNs: Curriculum Reinforcement Learning-Driven Quantum Architecture Search for Quantum Tensor Networks
by: Dutta, Siddhant, et al.
Published: (2025)

Reinforcement Learning Control of Quantum Error Correction
by: Sivak, Volodymyr, et al.
Published: (2025)

From Classical to Quantum Reinforcement Learning and Its Applications in Quantum Control: A Beginner's Tutorial
by: Sen, Abhijit, et al.
Published: (2026)

Challenge-Response Quantum Reinforcement Learning with Application to Quantum-Assisted Authentication
by: Kaldari, Jawaher, et al.
Published: (2026)

Reinforcement Learning for Quantum Control under Physical Constraints
by: Ernst, Jan Ole, et al.
Published: (2025)

Feedback-Enhanced Driven-Dissipative Quantum Batteries in Waveguide-QED Systems
by: Yin, Xian-Li, et al.
Published: (2025)

Robust Quantum Control using Reinforcement Learning from Demonstration
by: Li, Shengyong, et al.
Published: (2025)

Molecular Quantum Control Algorithm Design by Reinforcement Learning
by: Pipi, Anastasia, et al.
Published: (2024)

Multi-Objective Optimization and Network Routing with Near-Term Quantum Computers
by: Chiew, Shao-Hen, et al.
Published: (2023)

QNN-QRL: Quantum Neural Network Integrated with Quantum Reinforcement Learning for Quantum Key Distribution
by: Behera, Bikash K., et al.
Published: (2025)

Improving Quantum Multi-Objective Optimization with Archiving and Substitution
by: Ekstrøm, Linus, et al.
Published: (2026)

A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies
by: Giannelli, Luigi, et al.
Published: (2021)

Training Hybrid Deep Quantum Neural Network for Efficient Reinforcement Learning
by: Luo, Jie, et al.
Published: (2025)

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

Applications of Quantum Machine Learning for Quantitative Finance
by: Mironowicz, Piotr, et al.
Published: (2024)

Stability of Adiabatic States in a Dissipative Three-Level System
by: Gazazyan, Emil A., et al.
Published: (2025)

Nonreciprocal Amplification Transition in a Driven-Dissipative Quantum Network
by: Tian, Mingsheng, et al.
Published: (2022)

Variational Quantum Multi-Objective Optimization
by: Ekstrom, Linus, et al.
Published: (2023)

Quantum Approximate Multi-Objective Optimization
by: Kotil, Ayse, et al.
Published: (2025)

Quantum Measurement and Objective Classical Reality
by: Johnson, Vishal, et al.
Published: (2023)

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

Optimizing the Charging of Open Quantum Batteries using Long Short-Term Memory-Driven Reinforcement Learning
by: Zakavati, Shadab, et al.
Published: (2025)

Path Integral Quantum Control for Quantum Chemistry Applications
by: Najafi, Peyman, et al.
Published: (2025)

Non-Markovian Quantum Control via Model Maximum Likelihood Estimation and Reinforcement Learning
by: Neema, Tanmay, et al.
Published: (2024)

The Deimginarity Cost of Quantum States
by: Shi, Xian
Published: (2025)