Imagen de Portada

Adaptive Job Scheduling in Quantum Clouds Using Reinforcement Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Luo, Waylon, Zhao, Jiapeng, Zhan, Tong, Guan, Qiang
Formato:	Preprint
Publicado:	2025
Materias:	Distributed, Parallel, and Cluster Computing Quantum Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Advanced Scheduling Strategies for Distributed Quantum Computing Jobs
por: Ni, Gongyu, et al.
Publicado: (2026)

Architectural Foundations for Checkpointing and Restoration in Quantum HPC Systems
por: Guan, Qiang, et al.
Publicado: (2026)

QuMod: Parallel Quantum Job Scheduling on Modular QPUs using Circuit Cutting
por: Kulkarni, Vinooth, et al.
Publicado: (2026)

An Elastic Job Scheduler for HPC Applications on the Cloud
por: Bhosale, Aditya, et al.
Publicado: (2025)

Qonductor: A Cloud Orchestrator for Quantum Computing
por: Giortamis, Emmanouil, et al.
Publicado: (2024)

Scalable Circuit Cutting and Scheduling in a Resource-constrained and Distributed Quantum System
por: Kan, Shuwen, et al.
Publicado: (2024)

EFaaS: A Quantum-Classical Serverless Entangled Scheduler for Hybrid Variational Algorithms
por: Younesi, Abolfazl, et al.
Publicado: (2026)

Efficient Circuit Cutting and Scheduling in a Multi-Node Quantum System with Dynamic EPR Pairs
por: Du, Zefan, et al.
Publicado: (2024)

Stone-in-Waiting: A Cloud-Based Accelerator for the Quantum Approximate Optimization Algorithm
por: Zeng, Shuai
Publicado: (2026)

Scheduling Deep Learning Jobs in Multi-Tenant GPU Clusters via Wise Resource Sharing
por: Luo, Yizhou, et al.
Publicado: (2024)

CloudQC: A Network-aware Framework for Multi-tenant Distributed Quantum Computing
por: Zhou, Ruilin, et al.
Publicado: (2025)

Adaptive Resource Orchestration for Distributed Quantum Computing Systems
por: Chen, Kuan-Cheng, et al.
Publicado: (2025)

Resource-Efficient and Self-Adaptive Quantum Search in a Quantum-Classical Hybrid System
por: Jiang, Zihao, et al.
Publicado: (2024)

SPARS: A Reinforcement Learning-Enabled Simulator for Power Management in HPC Job Scheduling
por: Amrizal, Muhammad Alfian, et al.
Publicado: (2025)

An Adaptive Purification Controller for Quantum Networks: Dynamic Protocol Selection and Multipartite Distillation
por: Kulkarni, Pranav, et al.
Publicado: (2026)

GreenPeas: Unlocking Adaptive Quantum Error Correction with Just-in-Time Decoding Hypergraphs
por: Ziad, Abbas B., et al.
Publicado: (2026)

Rubick: Exploiting Job Reconfigurability for Deep Learning Cluster Scheduling
por: Zhang, Xinyi, et al.
Publicado: (2024)

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review
por: Gu, Yan, et al.
Publicado: (2025)

Distributed Quantum Discrete Logarithm Algorithm
por: Xu, Renjie, et al.
Publicado: (2026)

Efficient Circuit Wire Cutting Based on Commuting Groups
por: Li, Xinpeng, et al.
Publicado: (2024)

Machine Learning Methods as Robust Quantum Noise Estimators
por: Gardeazabal-Gutierrez, Jon, et al.
Publicado: (2024)

Robust Decentralized Quantum Kernel Learning for Noisy and Adversarial Environment
por: Ma, Wenxuan, et al.
Publicado: (2025)

NAC-QFL: Noise Aware Clustered Quantum Federated Learning
por: Sahu, Himanshu, et al.
Publicado: (2024)

HPC-vQPU: A Service-Export Architecture for Virtual QPUs on Batch-Scheduled HPC Systems
por: Liu, Shusen, et al.
Publicado: (2026)

Sustainable Graph Analytics Workload Scheduling with Evolutionary Reinforcement Learning in Edge-Cloud Systems
por: Ramicetty, P., et al.
Publicado: (2026)

ECDQC: Efficient Compilation for Distributed Quantum Computing with Linear Layout
por: Liu, Kecheng, et al.
Publicado: (2024)

Cloud-based Semi-Quantum Money
por: Zhang, Yichi, et al.
Publicado: (2024)

A Deep Reinforcement Learning Approach for Cost Optimized Workflow Scheduling in Cloud Computing Environments
por: Jayanetti, Amanda, et al.
Publicado: (2024)

Achieving Energetic Superiority Through System-Level Quantum Circuit Simulation
por: Fu, Rong, et al.
Publicado: (2024)

Scaling Hybrid Quantum-HPC Applications with the Quantum Framework
por: Chundury, Srikar, et al.
Publicado: (2025)

REACH: Reinforcement Learning for Adaptive Microservice Rescheduling in the Cloud-Edge Continuum
por: Bai, Xu, et al.
Publicado: (2025)

Efficient Time-Aware Partitioning of Quantum Circuits for Distributed Quantum Computing
por: Wu, Raymond P. H., et al.
Publicado: (2026)

Deep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions
por: Zhou, Guangyao, et al.
Publicado: (2021)

Data-Locality-Aware Task Assignment and Scheduling for Distributed Job Executions
por: Zhao, Hailiang, et al.
Publicado: (2024)

Entanglement-Efficient Distribution of Quantum Circuits over Large-Scale Quantum Networks
por: Burt, Felix, et al.
Publicado: (2025)

Distributed Quantum Circuit Cutting for Hybrid Quantum-Classical High-Performance Computing
por: Tejedor, Mar, et al.
Publicado: (2025)

A Semantic Quantum Circuit Cache for Scalable and Distributed Quantum-Classical Workflows
por: Tejedor, Mar, et al.
Publicado: (2026)

Quantum Mini-Apps: A Framework for Developing and Benchmarking Quantum-HPC Applications
por: Saurabh, Nishant, et al.
Publicado: (2024)

Load Balancing For High Performance Computing Using Quantum Annealing
por: Rathore, Omer, et al.
Publicado: (2024)

Noise-Aware Distributed Quantum Approximate Optimization Algorithm on Near-term Quantum Hardware
por: Chen, Kuan-Cheng, et al.
Publicado: (2024)