:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Gerlach, Thore, Mücke, Sascha, Bauckhage, Christian
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Quantum Physics
Acceso en línea:	https://arxiv.org/abs/2506.04786
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Beyond Reinforcement Learning: Fast and Scalable Quantum Circuit Synthesis
por: Theißinger, Lukas, et al.
Publicado: (2026)

Investigating the Relation Between Problem Hardness and QUBO Properties
por: Gerlach, Thore, et al.
Publicado: (2024)

Efficient Light Source Placement using Quantum Computing
por: Mücke, Sascha, et al.
Publicado: (2023)

Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
por: Heese, Raoul, et al.
Publicado: (2023)

Quadratic Continuous Quantum Optimization
por: Mücke, Sascha, et al.
Publicado: (2025)

Dynamic Range Reduction via Branch-and-Bound
por: Gerlach, Thore, et al.
Publicado: (2024)

Quantum Boltzmann Machines for Sample-Efficient Reinforcement Learning
por: Gerlach, Thore, et al.
Publicado: (2025)

Standardization of Multi-Objective QUBOs
por: Lee, Loong Kuan, et al.
Publicado: (2025)

Quantum Adiabatic Generation of Human-Like Passwords
por: Mücke, Sascha, et al.
Publicado: (2025)

On the effects of biased quantum random numbers on the initialization of artificial neural networks
por: Heese, Raoul, et al.
Publicado: (2021)

Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints
por: Röseler, Peter, et al.
Publicado: (2025)

A Simple QUBO Formulation of Sudoku
por: Mücke, Sascha
Publicado: (2024)

Enhancing Quantum Support Vector Machines through Variational Kernel Training
por: Innan, Nouhaila, et al.
Publicado: (2023)

Quantum Generator Kernels
por: Altmann, Philipp, et al.
Publicado: (2026)

On the Impact of Weight Discretization in QUBO-Based SVM Training
por: Mücke, Sascha
Publicado: (2025)

Support Vector Machine Kernels as Quantum Propagators
por: Kuo, Nan-Hong, et al.
Publicado: (2025)

Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel
por: Tscharke, Kilian, et al.
Publicado: (2023)

k-HyperEdge Medoids for Clustering Ensemble
por: Li, Feijiang, et al.
Publicado: (2024)

The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning
por: Incudini, Massimiliano, et al.
Publicado: (2022)

Benchmarking Quantum Kernel Support Vector Machines Against Classical Baselines on Tabular Data: A Rigorous Empirical Study with Hardware Validation
por: Kakavand, Siavash, et al.
Publicado: (2026)

QUBOLite: A lightweigth Python toolkit for QUBO
por: Mücke, Sascha, et al.
Publicado: (2025)

Evaluating the Impact of Different Quantum Kernels on the Classification Performance of Support Vector Machine Algorithm: A Medical Dataset Application
por: Akpinar, Emine, et al.
Publicado: (2024)

Benign Overfitting with Quantum Kernels
por: Tomasi, Joachim, et al.
Publicado: (2025)

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential
por: Kadri, Hachem, et al.
Publicado: (2025)

A Resource Efficient Quantum Kernel
por: Singh, Utkarsh, et al.
Publicado: (2025)

QUACK: Quantum Aligned Centroid Kernel
por: Tscharke, Kilian, et al.
Publicado: (2024)

Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms
por: Schubert, Erich, et al.
Publicado: (2018)

Entanglement Detection with Quantum-inspired Kernels and SVMs
por: Martínez-Sabiote, Ana, et al.
Publicado: (2025)

Quantum Machine Learning: Quantum Kernel Methods
por: Naguleswaran, Sanjeev
Publicado: (2024)

Spectral Phase Encoding for Quantum Kernel Methods
por: Gómez, Pablo Herrero, et al.
Publicado: (2026)

A Hyperparameter Study for Quantum Kernel Methods
por: Egginger, Sebastian, et al.
Publicado: (2023)

Quantum-Assisted Support Vector Regression
por: Dalal, Archismita, et al.
Publicado: (2021)

QSMOTE-PGM/kPGM: QSMOTE Based PGM and kPGM for Imbalanced Dataset Classification
por: Behera, Bikash K., et al.
Publicado: (2025)

Quantum Policy Gradient in Reproducing Kernel Hilbert Space
por: Bossens, David M., et al.
Publicado: (2024)

Distributed and Secure Kernel-Based Quantum Machine Learning
por: Swaminathan, Arjhun, et al.
Publicado: (2024)

WARP-LUTs -- Walsh-Assisted Relaxation for Probabilistic Look Up Tables
por: Gerlach, Lino, et al.
Publicado: (2025)

WARP Logic Neural Networks
por: Gerlach, Lino, et al.
Publicado: (2026)

A Scalable k-Medoids Clustering via Whale Optimization Algorithm
por: Chenan, Huang, et al.
Publicado: (2024)

Quantum Computing from Hopfield Nets
por: Bauckhage, Christian, et al.
Publicado: (2025)

Modeling Quantum Autoencoder Trainable Kernel for IoT Anomaly Detection
por: Chandrasekhar, Swathi, et al.
Publicado: (2025)