Image de couverture de livre

Enhancing Small Dataset Classification Using Projected Quantum Kernels with Convolutional Neural Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Alagiyawanna, A. M. A. S. D., Karunananda, Asoka, Mahasinghe, A., Silva, Thushari
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Quantum Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Novel Approach to Explainable AI with Quantized Active Ingredients in Decision Making
par: Alagiyawanna, A. M. A. S. D., et autres
Publié: (2026)

Noise Models Impacts and Mitigation Strategies in Photonic Quantum Machine Learning
par: Alagiyawanna, A. M. A. S. D., et autres
Publié: (2026)

Quantum Convolutional Neural Networks with Interaction Layers for Classification of Classical Data
par: Mahmud, Jishnu, et autres
Publié: (2023)

Quantum Convolutional Neural Networks are Effectively Classically Simulable
par: Bermejo, Pablo, et autres
Publié: (2024)

Selective Feature Re-Encoded Quantum Convolutional Neural Network with Joint Optimization for Image Classification
par: Sarkar, Shaswata Mahernob, et autres
Publié: (2025)

Quantum Convolutional Neural Networks for Multi-Channel Supervised Learning
par: Smaldone, Anthony M., et autres
Publié: (2023)

Fourier Series Guided Design of Quantum Convolutional Neural Networks for Enhanced Time Series Forecasting
par: Osorio, Sandra Leticia Juárez, et autres
Publié: (2024)

Dataset Distillation for Quantum Neural Networks
par: Phalak, Koustubh, et autres
Publié: (2025)

Multi-Scale Feature Fusion Quantum Depthwise Convolutional Neural Networks for Text Classification
par: Chen, Yixiong, et autres
Publié: (2024)

Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension
par: Lee, Changwon, et autres
Publié: (2024)

Knowledge Distillation for Variational Quantum Convolutional Neural Networks on Heterogeneous Data
par: Yu, Kai, et autres
Publié: (2025)

Multi-Class Quantum Convolutional Neural Networks
par: Mordacci, Marco, et autres
Publié: (2024)

Quantum-Enhanced Weight Optimization for Neural Networks Using Grover's Algorithm
par: Jura, Stefan-Alexandru, et autres
Publié: (2025)

Quantum Kernel Learning for Small Dataset Modeling in Semiconductor Fabrication: Application to Ohmic Contact
par: Wang, Zeheng, et autres
Publié: (2024)

Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks
par: Zhai, Jucai, et autres
Publié: (2026)

The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning
par: Incudini, Massimiliano, et autres
Publié: (2022)

Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints
par: Röseler, Peter, et autres
Publié: (2025)

Pixel-Translation-Equivariant Quantum Convolutional Neural Networks via Fourier Multiplexers
par: Chirkov, Dmitry, et autres
Publié: (2026)

A Post-Training Approach for Mitigating Overfitting in Quantum Convolutional Neural Networks
par: Shinde, Aakash Ravindra, et autres
Publié: (2023)

Quantum Pointwise Convolution: A Flexible and Scalable Approach for Neural Network Enhancement
par: Ning, An, et autres
Publié: (2024)

Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data
par: Chinzei, Koki, et autres
Publié: (2023)

Quantum Kernels for Parity-Structured Classification: A Hybrid Pipeline
par: Pandey, Tushar
Publié: (2026)

QuPCG: Quantum Convolutional Neural Network for Detecting Abnormal Patterns in PCG Signals
par: Torabi, Yasaman, et autres
Publié: (2025)

A Versatile Variational Quantum Kernel Framework for Non-Trivial Classification
par: Yuhan, Jiang, et autres
Publié: (2025)

Evaluating the Impact of Different Quantum Kernels on the Classification Performance of Support Vector Machine Algorithm: A Medical Dataset Application
par: Akpinar, Emine, et autres
Publié: (2024)

Quantum Measurement Classification with Qudits
par: Useche, Diego H., et autres
Publié: (2021)

QIBONN: A Quantum-Inspired Bilevel Optimizer for Neural Networks on Tabular Classification
par: Chumpitaz-Flores, Pedro, et autres
Publié: (2025)

Quantum Temporal Convolutional Neural Networks for Cross-Sectional Equity Return Prediction: A Comparative Benchmark Study
par: Chen, Chi-Sheng, et autres
Publié: (2025)

Classification of the Fashion-MNIST Dataset on a Quantum Computer
par: Shen, Kevin, et autres
Publié: (2024)

Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset
par: Sakhnenko, Alona, et autres
Publié: (2024)

Single-Qudit Quantum Neural Networks for Multiclass Classification
par: Souza, Leandro C., et autres
Publié: (2025)

Regression and Classification with Single-Qubit Quantum Neural Networks
par: Souza, Leandro C., et autres
Publié: (2024)

Enhancing Quantum Support Vector Machines through Variational Kernel Training
par: Innan, Nouhaila, et autres
Publié: (2023)

Let Quantum Neural Networks Choose Their Own Frequencies
par: Jaderberg, Ben, et autres
Publié: (2023)

Quantum Generator Kernels
par: Altmann, Philipp, et autres
Publié: (2026)

Classification of Financial Data Using Quantum Support Vector Machine
par: Bhattacharjee, Seemanta, et autres
Publié: (2024)

Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation
par: Aktar, Shamminuj, et autres
Publié: (2024)

ResQuNNs: Towards Enabling Deep Learning in Quantum Convolution Neural Networks
par: Kashif, Muhammad, et autres
Publié: (2024)

TunnElQNN: A Hybrid Quantum-classical Neural Network for Efficient Learning
par: Abbas, A. H.
Publié: (2025)

Parallel Multi-Circuit Quantum Feature Fusion in Hybrid Quantum-Classical Convolutional Neural Networks for Breast Tumor Classification
par: Yurtseven, Ece
Publié: (2025)