Cover Image

DistributedEstimator: Distributed Training of Quantum Neural Networks via Circuit Cutting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Singh, Prabhjot, Toosi, Adel N., Buyya, Rajkumar
Format:	Preprint
Published:	2026
Subjects:	Distributed, Parallel, and Cluster Computing Machine Learning Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hardware-aware Circuit Cutting and Distributed Qubit Mapping for Connected Quantum Systems
by: Du, Zefan, et al.
Published: (2024)

Quantum Federated Learning: Architectural Elements and Future Directions
by: Sai, Siva, et al.
Published: (2025)

A System Aware Resource Allocation for Distributed Workflows in Quantum Computing Environments
by: Sawaika, Abhishek, et al.
Published: (2026)

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

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

Multi-Layer Scheduling for MoE-Based LLM Reasoning
by: Sun, Yifan, et al.
Published: (2026)

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

Incentive-Based Federated Learning: Architectural Elements and Future Directions
by: Kaluannakkage, Chanuka A. S. Hewa, et al.
Published: (2025)

Blockchain-Enabled Federated Learning
by: Rangwala, Murtaza, et al.
Published: (2025)

AirFed: A Federated Graph-Enhanced Multi-Agent Reinforcement Learning Framework for Multi-UAV Cooperative Mobile Edge Computing
by: Wang, Zhiyu, et al.
Published: (2025)

DeFRiS: Silo-Cooperative IoT Applications Scheduling via Decentralized Federated Reinforcement Learning
by: Wang, Zhiyu, et al.
Published: (2026)

TrustMesh: A Blockchain-Enabled Trusted Distributed Computing Framework for Open Heterogeneous IoT Environments
by: Rangwala, Murtaza, et al.
Published: (2024)

QFaaS: A Serverless Function-as-a-Service Framework for Quantum Computing
by: Nguyen, Hoa T., et al.
Published: (2022)

Cutting Quantum Circuits Beyond Qubits
by: Seksaria, Manav, et al.
Published: (2026)

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

Evidential Trust-Aware Model Personalization in Decentralized Federated Learning for Wearable IoT
by: Rangwala, Murtaza, et al.
Published: (2025)

SketchGuard: Scaling Byzantine-Robust Decentralized Federated Learning via Sketch-Based Screening
by: Rangwala, Murtaza, et al.
Published: (2025)

PipeLive: Efficient Live In-place Pipeline Parallelism Reconfiguration for Dynamic LLM Serving
by: Bai, Xu, et al.
Published: (2026)

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

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

Enhanced Quantum Circuit Cutting Framework for Sampling Overhead Reduction
by: Chen, Po-Hung, et al.
Published: (2024)

Distributed Quantum Circuit Optimisation: Evaluating Global and Local encodings
by: Garces, Maria Gragera, et al.
Published: (2026)

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

Fully Distributed Online Training of Graph Neural Networks in Networked Systems
by: Olshevskyi, Rostyslav, et al.
Published: (2024)

Distributed Convolutional Neural Network Training on Mobile and Edge Clusters
by: Rama, Pranav, et al.
Published: (2024)

Resource-Efficient Compilation of Distributed Quantum Circuits for Solving Large-Scale Wireless Communication Network Problems
by: Chen, Kuan-Cheng, et al.
Published: (2025)

Saarthi: An End-to-End Intelligent Platform for Optimising Distributed Serverless Workloads
by: Agarwal, Siddharth, et al.
Published: (2025)

Circuit Folding: Scalable and Graph-Based Circuit Cutting via Modular Structure Exploitation
by: Kan, Shuwen, et al.
Published: (2024)

TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments
by: Wang, Zhiyu, et al.
Published: (2024)

An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training
by: Merkel, Nikolai, et al.
Published: (2023)

Performance and Security Aware Distributed Service Placement in Fog Computing
by: Goudarzi, Mohammad, et al.
Published: (2026)

Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing
by: Chen, Kuan-Cheng, et al.
Published: (2025)

Tensor-Parallel Emulation of Quantum Circuits with Block-Cyclic Distributed Matrix Product States
by: Adamski, Jakub, et al.
Published: (2025)

Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks
by: Waleffe, Roger, et al.
Published: (2025)

SDT-GNN: Streaming-based Distributed Training Framework for Graph Neural Networks
by: Huang, Xin, et al.
Published: (2024)

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

A Cascaded Graph Neural Network for Joint Root Cause Localization and Analysis in Edge Computing Environments
by: Fernando, Duneesha, et al.
Published: (2026)

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

Distributed Matrix-Based Sampling for Graph Neural Network Training
by: Tripathy, Alok, et al.
Published: (2023)

On Distributed Quantum Computing with Distributed Fan-Out Operations
by: Loke, Seng W.
Published: (2026)