On the similarity of bandwidth-tuned quantum kernels and classical kernels
Fuente:
arXiv
Guardado en:
| Autores principales: | Flórez-Ablan, Roberto, Roth, Marco, Schnabel, Jan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Quantum Kernel Methods under Scrutiny: A Benchmarking Study
por: Schnabel, Jan, et al.
Publicado: (2024)
por: Schnabel, Jan, et al.
Publicado: (2024)
Fusion of classical and quantum kernels enables accurate and robust two-sample tests
por: Terada, Yu, et al.
Publicado: (2025)
por: Terada, Yu, et al.
Publicado: (2025)
On the expressivity of embedding quantum kernels
por: Gil-Fuster, Elies, et al.
Publicado: (2023)
por: Gil-Fuster, Elies, et al.
Publicado: (2023)
Double descent in quantum kernel methods
por: Kempkes, Marie, et al.
Publicado: (2025)
por: Kempkes, Marie, et al.
Publicado: (2025)
Automatic and effective discovery of quantum kernels
por: Incudini, Massimiliano, et al.
Publicado: (2022)
por: Incudini, Massimiliano, et al.
Publicado: (2022)
Exponential concentration in quantum kernel methods
por: Thanasilp, Supanut, et al.
Publicado: (2022)
por: Thanasilp, Supanut, et al.
Publicado: (2022)
Learning out-of-time-ordered correlators with classical kernel methods
por: Tanner, John, et al.
Publicado: (2024)
por: Tanner, John, et al.
Publicado: (2024)
Neural auto-designer for enhanced quantum kernels
por: Lei, Cong, et al.
Publicado: (2024)
por: Lei, Cong, et al.
Publicado: (2024)
Hybrid model of the kernel method for quantum computers
por: de Borba, Jhordan Silveira, et al.
Publicado: (2024)
por: de Borba, Jhordan Silveira, et al.
Publicado: (2024)
Satellite image classification with neural quantum kernels
por: Rodriguez-Grasa, Pablo, et al.
Publicado: (2024)
por: Rodriguez-Grasa, Pablo, et al.
Publicado: (2024)
Shot-frugal and Robust quantum kernel classifiers
por: Shastry, Abhay, et al.
Publicado: (2022)
por: Shastry, Abhay, et al.
Publicado: (2022)
Optimal algorithmic complexity of inference in quantum kernel methods
por: Gil-Fuster, Elies, et al.
Publicado: (2026)
por: Gil-Fuster, Elies, et al.
Publicado: (2026)
Non-variational supervised quantum kernel methods: a review
por: Tanner, John, et al.
Publicado: (2026)
por: Tanner, John, et al.
Publicado: (2026)
Benchmarking quantum machine learning kernel training for classification tasks
por: Alvarez-Estevez, Diego
Publicado: (2024)
por: Alvarez-Estevez, Diego
Publicado: (2024)
Maritime object classification with SAR imagery using quantum kernel methods
por: Tanner, John, et al.
Publicado: (2025)
por: Tanner, John, et al.
Publicado: (2025)
Mitigating exponential concentration in covariant quantum kernels for subspace and real-world data
por: Agliardi, Gabriele, et al.
Publicado: (2024)
por: Agliardi, Gabriele, et al.
Publicado: (2024)
Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M type classification
por: Vasques, Xavier, et al.
Publicado: (2025)
por: Vasques, Xavier, et al.
Publicado: (2025)
sQUlearn -- A Python Library for Quantum Machine Learning
por: Kreplin, David A., et al.
Publicado: (2023)
por: Kreplin, David A., et al.
Publicado: (2023)
Reduction of finite sampling noise in quantum neural networks
por: Kreplin, David A., et al.
Publicado: (2023)
por: Kreplin, David A., et al.
Publicado: (2023)
Reinforcement learning-based architecture search for quantum machine learning
por: Rapp, Frederic, et al.
Publicado: (2024)
por: Rapp, Frederic, et al.
Publicado: (2024)
Generative quantum advantage for classical and quantum problems
por: Huang, Hsin-Yuan, et al.
Publicado: (2025)
por: Huang, Hsin-Yuan, et al.
Publicado: (2025)
Learning quantum symmetries with interactive quantum-classical variational algorithms
por: Lu, Jonathan Z., et al.
Publicado: (2022)
por: Lu, Jonathan Z., et al.
Publicado: (2022)
Efficient quantum-enhanced classical simulation for patches of quantum landscapes
por: Lerch, Sacha, et al.
Publicado: (2024)
por: Lerch, Sacha, et al.
Publicado: (2024)
Quantum Gaussian Process Regression for Bayesian Optimization
por: Rapp, Frederic, et al.
Publicado: (2023)
por: Rapp, Frederic, et al.
Publicado: (2023)
Exponential separations between classical and quantum learners
por: Gyurik, Casper, et al.
Publicado: (2023)
por: Gyurik, Casper, et al.
Publicado: (2023)
Enhancing variational quantum algorithms by balancing training on classical and quantum hardware
por: Bhowmick, Rahul, et al.
Publicado: (2025)
por: Bhowmick, Rahul, et al.
Publicado: (2025)
Neural quantum kernels: training quantum kernels with quantum neural networks
por: Rodriguez-Grasa, Pablo, et al.
Publicado: (2024)
por: Rodriguez-Grasa, Pablo, et al.
Publicado: (2024)
Expressive equivalence of classical and quantum restricted Boltzmann machines
por: Demidik, Maria, et al.
Publicado: (2025)
por: Demidik, Maria, et al.
Publicado: (2025)
Limits of quantum generative models with classical sampling hardness
por: Herbst, Sabrina, et al.
Publicado: (2025)
por: Herbst, Sabrina, et al.
Publicado: (2025)
Data Efficient Prediction of excited-state properties using Quantum Neural Networks
por: Hagelüken, Manuel, et al.
Publicado: (2024)
por: Hagelüken, Manuel, et al.
Publicado: (2024)
Non-iid hypothesis testing: from classical to quantum
por: De Palma, Giacomo, et al.
Publicado: (2025)
por: De Palma, Giacomo, et al.
Publicado: (2025)
Hybrid quantum-classical algorithm for near-optimal planning in POMDPs
por: Cunha, Gilberto, et al.
Publicado: (2025)
por: Cunha, Gilberto, et al.
Publicado: (2025)
A general learning scheme for classical and quantum Ising machines
por: Schmid, Ludwig, et al.
Publicado: (2023)
por: Schmid, Ludwig, et al.
Publicado: (2023)
Application of quantum annealing for scalable robotic assembly line optimization: a case study
por: Willmann, Moritz, et al.
Publicado: (2024)
por: Willmann, Moritz, et al.
Publicado: (2024)
QGAN-based data augmentation for hybrid quantum-classical neural networks
por: He, Run-Ze, et al.
Publicado: (2025)
por: He, Run-Ze, et al.
Publicado: (2025)
Parallel hybrid quantum-classical machine learning for kernelized time-series classification
por: Baker, Jack S., et al.
Publicado: (2023)
por: Baker, Jack S., et al.
Publicado: (2023)
Universality and kernel-adaptive training for classically trained, quantum-deployed generative models
por: Kurkin, Andrii, et al.
Publicado: (2025)
por: Kurkin, Andrii, et al.
Publicado: (2025)
Comparing concepts of quantum and classical neural network models for image classification task
por: Potempa, Rafal, et al.
Publicado: (2021)
por: Potempa, Rafal, et al.
Publicado: (2021)
Better than classical? The subtle art of benchmarking quantum machine learning models
por: Bowles, Joseph, et al.
Publicado: (2024)
por: Bowles, Joseph, et al.
Publicado: (2024)
New perspectives on quantum kernels through the lens of entangled tensor kernels
por: Shin, Seongwook, et al.
Publicado: (2025)
por: Shin, Seongwook, et al.
Publicado: (2025)
Ejemplares similares
-
Quantum Kernel Methods under Scrutiny: A Benchmarking Study
por: Schnabel, Jan, et al.
Publicado: (2024) -
Fusion of classical and quantum kernels enables accurate and robust two-sample tests
por: Terada, Yu, et al.
Publicado: (2025) -
On the expressivity of embedding quantum kernels
por: Gil-Fuster, Elies, et al.
Publicado: (2023) -
Double descent in quantum kernel methods
por: Kempkes, Marie, et al.
Publicado: (2025) -
Automatic and effective discovery of quantum kernels
por: Incudini, Massimiliano, et al.
Publicado: (2022)