Imagen de Portada

Edge-Local and Qubit-Efficient Quantum Graph Learning for the NISQ Era

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ahmadkhaniha, Armin, Doliskani, Jake
Formato:	Preprint
Publicado:	2026
Materias:	Quantum Physics Emerging Technologies Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

QRTlib: A Library for Fast Quantum Real Transforms
por: Ahmadkhaniha, Armin, et al.
Publicado: (2025)

qc-kmeans: A Quantum Compressive K-Means Algorithm for NISQ Devices
por: Chumpitaz-Flores, Pedro, et al.
Publicado: (2025)

AltGraph: Redesigning Quantum Circuits Using Generative Graph Models for Efficient Optimization
por: Beaudoin, Collin, et al.
Publicado: (2024)

Local Binary and Multiclass SVMs Trained on a Quantum Annealer
por: Zardini, Enrico, et al.
Publicado: (2024)

An Efficient Quantum Classifier Based on Hamiltonian Representations
por: Tiblias, Federico, et al.
Publicado: (2025)

Machine Learning for Quantum Noise Reduction
por: Kendre, Karan
Publicado: (2025)

Parameter-efficient Quantum Multi-task Learning
por: Cowlessur, Hevish, et al.
Publicado: (2026)

Adversarial Robustness in Distributed Quantum Machine Learning
por: Kananian, Pouya, et al.
Publicado: (2025)

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

Quantum Federated Learning Experiments in the Cloud with Data Encoding
por: Pokhrel, Shiva Raj, et al.
Publicado: (2024)

Sparks of Quantum Advantage and Rapid Retraining in Machine Learning
por: Troy, William
Publicado: (2024)

Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis
por: Georgiou, Petros, et al.
Publicado: (2024)

A Quick Introduction to Quantum Machine Learning for Non-Practitioners
por: Evans, Ethan N., et al.
Publicado: (2024)

FedQNN: Federated Learning using Quantum Neural Networks
por: Innan, Nouhaila, et al.
Publicado: (2024)

Quantum-Assisted Machine Learning Models for Enhanced Weather Prediction
por: Sakhuja, Saiyam, et al.
Publicado: (2025)

Hybrid Quantum Solvers in Production: how to succeed in the NISQ era?
por: Osaba, Eneko, et al.
Publicado: (2024)

Analyzing Images of Blood Cells with Quantum Machine Learning Methods: Equilibrium Propagation and Variational Quantum Circuits to Detect Acute Myeloid Leukemia
por: Bano, A., et al.
Publicado: (2026)

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering
por: Pomeroy, Chloe, et al.
Publicado: (2025)

Analyzing Machine Learning Performance in a Hybrid Quantum Computing and HPC Environment
por: Bieberich, Samuel T., et al.
Publicado: (2024)

Eliminating Vendor Lock-In in Quantum Machine Learning via Framework-Agnostic Neural Networks
por: Kumaresan, Poornima, et al.
Publicado: (2026)

EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data
por: Han, Jason, et al.
Publicado: (2025)

Quantum Kernel Learning for Small Dataset Modeling in Semiconductor Fabrication: Application to Ohmic Contact
por: Wang, Zeheng, et al.
Publicado: (2024)

Simon's algorithm in the NISQ cloud
por: Robertson, Reece, et al.
Publicado: (2024)

Empirical Quantum Advantage Analysis of Quantum Kernel in Gene Expression Data
por: Ghosh, Arpita, et al.
Publicado: (2024)

Photonic Quantum-Enhanced Knowledge Distillation
por: Chen, Kuan-Cheng, et al.
Publicado: (2026)

Quantum Circuit for Random Forest Prediction
por: Safina, Liliia, et al.
Publicado: (2023)

Quantum AI for Alzheimer's disease early screening
por: Cappiello, Giacomo, et al.
Publicado: (2024)

Exploring Quantum Neural Networks for Demand Forecasting
por: de Jesus, Gleydson Fernandes, et al.
Publicado: (2024)

Quantum Annealing for Robust Principal Component Analysis
por: Tomeo, Ian, et al.
Publicado: (2025)

Multi-Class Quantum Convolutional Neural Networks
por: Mordacci, Marco, et al.
Publicado: (2024)

Quantum-Based Feature Selection for Multi-classification Problem in Complex Systems with Edge Computing
por: Liu, Wenjie, et al.
Publicado: (2023)

Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects
por: Yan, Ge, et al.
Publicado: (2024)

Triplet Loss Based Quantum Encoding for Class Separability
por: Mordacci, Marco, et al.
Publicado: (2025)

Quantum Clustering with k-Means: a Hybrid Approach
por: Poggiali, Alessandro, et al.
Publicado: (2022)

Impact of Single Rotations and Entanglement Topologies in Quantum Neural Networks
por: Mordacci, Marco, et al.
Publicado: (2025)

Enhancing Expressivity of Quantum Neural Networks Based on the SWAP test
por: Nagies, Sebastian, et al.
Publicado: (2025)

Training Variational Quantum Circuits Using Particle Swarm Optimization
por: Mordacci, Marco, et al.
Publicado: (2025)

Unleashing the Expressive Power of Pulse-Based Quantum Neural Networks
por: Tao, Han-Xiao, et al.
Publicado: (2024)

Quantum Boltzmann Machines using Parallel Annealing for Medical Image Classification
por: Schuman, Daniëlle, et al.
Publicado: (2025)

VQEzy: An Open-Source Dataset for Parameter Initialization in Variational Quantum Eigensolvers
por: Zhang, Chi, et al.
Publicado: (2025)