Image de couverture de livre

Quantum Annealing Feature Selection on Light-weight Medical Image Datasets

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Nau, Merlin A., Nutricati, Luca A., Camino, Bruno, Warburton, Paul A., Maier, Andreas K.
Format:	Preprint
Publié:	2025
Sujets:	Quantum Physics Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Enhancing the Energy Gap of Random Graph Problems via XX-catalysts in Quantum Annealing
par: Nutricati, Luca A., et autres
Publié: (2024)

Quantum Annealing: Optimisation, Sampling, and Many-Body Dynamics
par: Abel, Steven, et autres
Publié: (2026)

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering
par: Pomeroy, Chloe, et autres
Publié: (2025)

Quantum Boltzmann Machines using Parallel Annealing for Medical Image Classification
par: Schuman, Daniëlle, et autres
Publié: (2025)

Quantum Annealing for Robust Principal Component Analysis
par: Tomeo, Ian, et autres
Publié: (2025)

Minor Embedding for Quantum Annealing with Reinforcement Learning
par: Nembrini, Riccardo, et autres
Publié: (2025)

Analyzing the Effectiveness of Quantum Annealing with Meta-Learning
par: Pellini, Riccardo, 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)

Enhancement of quantum annealing via n-local catalysts
par: Ghosh, Roopayan, et autres
Publié: (2024)

Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction
par: Meyer, Nico, et autres
Publié: (2025)

Learning to Concatenate Quantum Codes
par: Meyer, Nico, et autres
Publié: (2026)

Quantum Reservoir Computing with Neutral Atoms on a Small, Complex, Medical Dataset
par: Antoncich, Luke, et autres
Publié: (2026)

Learning Logical Operations for Arbitrary Quantum Error Correction Codes
par: Meyer, Nico, et autres
Publié: (2026)

Multi-Mode Quantum Annealing for Generative Representation Learning with Boltzmann Priors
par: Kim, Gilhan, et autres
Publié: (2026)

Kernel Learning for Regression via Quantum Annealing Based Spectral Sampling
par: Hasegawa, Yasushi, et autres
Publié: (2026)

Enhancing Small Dataset Classification Using Projected Quantum Kernels with Convolutional Neural Networks
par: Alagiyawanna, A. M. A. S. D., et autres
Publié: (2026)

Quantum Feature Pyramid Gating for Seismic Image Segmentation
par: Gharaibeh, Taha, et autres
Publié: (2026)

Quantum Feature Selection with Higher-Order Binary Optimization on Trapped-Ion Hardware
par: Flores-Garrigós, Carlos, et autres
Publié: (2026)

Subsampling Factorization Machine Annealing
par: Hama, Yusuke, et autres
Publié: (2025)

An Advantage Using Feature Selection with a Quantum Annealer
par: Vlasic, Andrew, et autres
Publié: (2022)

Quantum Annealing for Minimum Bisection Problem: A Machine Learning-based Approach for Penalty Parameter Tuning
par: Rusnáková, Renáta, et autres
Publié: (2025)

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

Comparison of D-Wave Quantum Annealing and Markov Chain Monte Carlo for Sampling from a Probability Distribution of a Restricted Boltzmann Machine
par: Yazizi, Abdelmoula El, et autres
Publié: (2025)

Recurrent Quantum Feature Maps for Reservoir Computing
par: Singh, Utkarsh, et autres
Publié: (2026)

Improving Quantum Machine Learning via Heat-Bath Algorithmic Cooling
par: Rodríguez-Briones, Nayeli A., et autres
Publié: (2025)

Efficient Bit Labeling in Factorization Machines with Annealing for Traveling Salesman Problem
par: Koshikawa, Shota, et autres
Publié: (2024)

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

Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks
par: Meyer, Nico, et autres
Publié: (2024)

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

Investigating Quantum Feature Maps in Quantum Support Vector Machines for Lung Cancer Classification
par: Hafidi, My Youssef El, et autres
Publié: (2025)

Quantum Ensemble for Classification
par: Macaluso, Antonio, et autres
Publié: (2020)

Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients
par: Krahn, Maximilian, et autres
Publié: (2023)

Distributed Quantum Neural Networks via Partitioned Features Encoding
par: Kawase, Yoshiaki
Publié: (2023)

Quantum Feature Space of a Qubit Coupled to an Arbitrary Bath
par: Wise, Chris, et autres
Publié: (2025)

A Matched Spectral Benchmark of Quantum Inspired Feature Maps
par: Ogunade, Toheeb, et autres
Publié: (2026)

Function Smoothing Regularization for Precision Factorization Machine Annealing in Continuous Variable Optimization Problems
par: Endo, Katsuhiro, et autres
Publié: (2024)

QFDNN: A Resource-Efficient Variational Quantum Feature Deep Neural Networks for Fraud Detection and Loan Prediction
par: Das, Subham, 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)

Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines
par: Schuman, Daniëlle, et autres
Publié: (2023)

Light-Adapted Electroretinogram and Oscillatory Potentials (LEOPs) Dataset for Autism Spectrum Disorder and Typically Developing Individuals
par: Constable, Paul A., et autres
Publié: (2026)