Image de couverture de livre

Quantum Phases Classification Using Quantum Machine Learning with SHAP-Driven Feature Selection

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Franco, Giovanni S., Mahlow, Felipe, Prado, Pedro M., Pexe, Guilherme E. L., Rattighieri, Lucas A. M., Fanchini, Felipe F.
Format:	Preprint
Publié:	2025
Sujets:	Quantum Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Predicting the Onset of Quantum Synchronization Using Machine Learning
par: Mahlow, Felipe, et autres
Publié: (2023)

Quantum feedback algorithms for DNA assembly using FALQON variants
par: Prado, Pedro M., et autres
Publié: (2026)

Accelerating Feedback-Based Quantum Algorithms through Time Rescaling
par: Rattighieri, L. A. M., et autres
Publié: (2025)

Using a Feedback-Based Quantum Algorithm to Analyze the Critical Properties of the ANNNI Model Without Classical Optimization
par: Pexe, G. E. L., et autres
Publié: (2024)

Measurement-Guided State Refinement for Shallow Feedback-Based Quantum Optimization Algorithm
par: Rattighieri, Lucas A. M., et autres
Publié: (2026)

From Foundation ECG Models to NISQ Learners: Distilling ECGFounder into a VQC Student
par: Franco, Giovanni dos Santos, et autres
Publié: (2026)

PUBO Formulation for MST and Application to Optimum-Path Forest
par: Pexe, Guilherme E. L., et autres
Publié: (2026)

FALQON-MST: A Fully Quantum Framework for Graph Optimization in Vision Systems
par: Pexe, Guilherme E. L., et autres
Publié: (2026)

Regression of Functions by Quantum Neural Networks Circuits
par: Neto, Fernando M. de Paula, et autres
Publié: (2025)

Learning spectral density functions in open quantum systems
par: Peleteiro, Felipe, et autres
Publié: (2026)

Quantum Annealing based Feature Selection in Machine Learning
par: Pranjic, Daniel, et autres
Publié: (2024)

Influence of higher order electron-phonon interaction on the electron-related lattice thermal properties of 2d Dirac crystal
par: Kazemian, Sina, et autres
Publié: (2023)

A Quantum Walk-Driven Algorithm for the Minimum Spanning Tree Problem under a Maximal Degree Constraint
par: Luiz, F. S., et autres
Publié: (2025)

Warm-Starting QAOA with XY Mixers: A Novel Approach for Quantum-Enhanced Vehicle Routing Optimization
par: Carmo, Rafael S. do, et autres
Publié: (2025)

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection
par: Sie, Ming-Fong, et autres
Publié: (2024)

Quantum Machine Learning
par: Lucas Lamata, et autres
Publié: (2025)

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

Digital-Analog Quantum Machine Learning
par: Lamata, Lucas
Publié: (2024)

Classification Analysis of Transition Metal Compounds Using Quantum Machine Learning
par: Kurudi V Vedavyasa, 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 Random Features: A Spectral Framework for Quantum Machine Learning
par: Sakurai, Akitada, et autres
Publié: (2026)

Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric
par: Haug, Tobias, et autres
Publié: (2023)

Noise-Resistant Feature-Aware Attack Detection Using Quantum Machine Learning
par: Ding, Chao, et autres
Publié: (2026)

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

A Collaborative Framework for Quantum Optimisation and Quantum Neural Networks: Credit Feature Selection and Image Classification
par: Long, JiaNing, et autres
Publié: (2025)

Fourier Fingerprints of Ansatzes in Quantum Machine Learning
par: Strobl, Melvin, et autres
Publié: (2025)

Quantum Machine Learning Using Quantum Illumination With Quantum Enhanced Interference
par: Biswas, Pallab, et autres
Publié: (2026)

Feature Importance and Explainability in Quantum Machine Learning
par: Power, Luke, et autres
Publié: (2024)

Feature Map for Quantum Data in Classification
par: Kwon, Hyeokjea, et autres
Publié: (2023)

Non-Hemolytic Peptide Classification Using A Quantum Support Vector Machine
par: Zhuang, Shengxin, et autres
Publié: (2024)

Exploring Quantum Machine Learning for Weather Forecasting
par: da Silva, Maria Heloísa F., et autres
Publié: (2025)

QKD as a Quantum Machine Learning task
par: Decker, T., et autres
Publié: (2024)

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

Phase-Driven Precision Boost in Quantum Compression for Postselected Metrology
par: Rostom, Aiham M., et autres
Publié: (2025)

Analog Quantum Feature Selection with Neutral-Atom Quantum Processors
par: Orquin-Marques, Jose J., et autres
Publié: (2025)

Noise Classification in Three-Level Quantum Networks by Machine Learning
par: Mukherjee, Shreyasi, et autres
Publié: (2024)

Geometric Quantum Machine Learning with Horizontal Quantum Gates
par: Wiersema, Roeland, et autres
Publié: (2024)

Quantum Phase Transitions in Optomechanical Systems
par: Wang, Bo, et autres
Publié: (2023)

Harnessing Quantum Extreme Learning Machines for image classification
par: De Lorenzis, A., et autres
Publié: (2024)

Auto Quantum Machine Learning for Multisource Classification
par: Rybotycki, Tomasz, et autres
Publié: (2026)