Imagen de Portada

Quantum Neural Networks in Practice: A Comparative Study with Classical Models from Standard Data Sets to Industrial Images

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Basilewitsch, Daniel, Bravo, João F., Tutschku, Christian, Struckmeier, Frederick
Formato:	Preprint
Publicado:	2024
Materias:	Quantum Physics Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

AutoQML: A Framework for Automated Quantum Machine Learning
por: Roth, Marco, et al.
Publicado: (2025)

Training robust and generalizable quantum models
por: Berberich, Julian, et al.
Publicado: (2023)

Quantum Convolutional Neural Networks with Interaction Layers for Classification of Classical Data
por: Mahmud, Jishnu, et al.
Publicado: (2023)

Quantum Convolutional Neural Networks are Effectively Classically Simulable
por: Bermejo, Pablo, et al.
Publicado: (2024)

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

Quantum-Enhanced Generative Adversarial Networks: Comparative Analysis of Classical and Hybrid Quantum-Classical Generative Adversarial Networks
por: Goh, Kun Ming
Publicado: (2025)

QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs
por: Farea, Afrah, et al.
Publicado: (2025)

Hybrid Quantum-Classical Neural Networks for Few-Shot Credit Risk Assessment
por: Wang, Zheng-an, et al.
Publicado: (2025)

Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension
por: Lee, Changwon, et al.
Publicado: (2024)

Comparing Classical and Quantum Variational Classifiers on the XOR Problem
por: Seilkhan, Miras, et al.
Publicado: (2026)

Hybrid Quantum-Classical Neural Architecture Search
por: Marchisio, Alberto, et al.
Publicado: (2026)

Hybrid Quantum-Classical Ridgelet Neural Networks for Portfolio Optimization
por: Yadav, Bahadur, et al.
Publicado: (2026)

Towards Arbitrary QUBO Optimization: Analysis of Classical and Quantum-Activated Feedforward Neural Networks
por: Lai, Chia-Tso, et al.
Publicado: (2024)

Winning Lottery Tickets in Neural Networks via a Quantum-Inspired Classical Algorithm
por: Isogai, Natsuto, et al.
Publicado: (2026)

Hybrid Quantum-Classical Recurrent Neural Networks
por: Xu, Wenduan
Publicado: (2025)

The Role of Quantum in Hybrid Quantum-Classical Neural Networks: A Realistic Assessment
por: Freinberger, Dominik, et al.
Publicado: (2026)

Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
por: Hasan, Mohammad Junayed, et al.
Publicado: (2023)

Deep Neural Network Emulation of the Quantum-Classical Transition via Learned Wigner Function Dynamics
por: Majid, Kamran
Publicado: (2025)

How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations
por: Innan, Nouhaila, et al.
Publicado: (2026)

From Classical to Hybrid: A Practical Framework for Quantum-Enhanced Learning
por: Illésová, Silvie, et al.
Publicado: (2025)

Data Efficient Prediction of excited-state properties using Quantum Neural Networks
por: Hagelüken, Manuel, et al.
Publicado: (2024)

Quantum Temporal Convolutional Neural Networks for Cross-Sectional Equity Return Prediction: A Comparative Benchmark Study
por: Chen, Chi-Sheng, et al.
Publicado: (2025)

Hybrid Quantum-Classical Learning for Multiclass Image Classification
por: Anwar, Shuchismita, et al.
Publicado: (2025)

Scalable Neural Decoders for Practical Real-Time Quantum Error Correction
por: Lee, Changwon, et al.
Publicado: (2025)

Quantum Reinforcement Learning-Guided Diffusion Model for Image Synthesis via Hybrid Quantum-Classical Generative Model Architectures
por: Chen, Chi-Sheng, et al.
Publicado: (2025)

On Emergences of Non-Classical Statistical Characteristics in Classical Neural Networks
por: Zhao, Hanyu, et al.
Publicado: (2026)

Quantum-Classical Machine learning by Hybrid Tensor Networks
por: Liu, Ding, et al.
Publicado: (2020)

A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models
por: Wendlinger, Maximilian, et al.
Publicado: (2024)

Hybrid Classical-Quantum Transfer Learning with Noisy Quantum Circuits
por: Martín-Pérez, D., et al.
Publicado: (2026)

A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks
por: Forestano, Roy T., et al.
Publicado: (2023)

Quantitative Evaluation of Quantum/Classical Neural Network Using a Game Solver Metric
por: Kamei, Suzukaze, et al.
Publicado: (2025)

A Survey of Classical And Quantum Sequence Models
por: Chen, I-Chi, et al.
Publicado: (2023)

Blockchain Network Analysis using Quantum Inspired Graph Neural Networks & Ensemble Models
por: D'Amico, Luigi, et al.
Publicado: (2025)

A Study on Quantum Neural Networks in Healthcare 5.0
por: Chakraborty, Sanjay
Publicado: (2024)

Knowledge Distillation for Variational Quantum Convolutional Neural Networks on Heterogeneous Data
por: Yu, Kai, et al.
Publicado: (2025)

$\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks
por: Dong, Zhongtian, et al.
Publicado: (2023)

Quantum Long Short-Term Memory (QLSTM) vs Classical LSTM in Time Series Forecasting: A Comparative Study in Solar Power Forecasting
por: Khan, Saad Zafar, et al.
Publicado: (2023)

Quantum-Classical Hybrid Molecular Autoencoder for Advancing Classical Decoding
por: Jahin, Afrar, et al.
Publicado: (2025)

A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning
por: Gholipour, Hamed, et al.
Publicado: (2024)

Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data
por: Chinzei, Koki, et al.
Publicado: (2023)