Kernel Methods
2024 · 14 papers
Adiabatic Quantum Support Vector Machines
2024Date et al.
Kernel Methods
Can Entanglement-enhanced Quantum Kernels Improve Data Classification
2024Babu et al.
Kernel Methods
Distributed and Secure Kernel-Based Quantum Machine Learning
2024Swaminathan, Akgün
Kernel Methods
Efficient Parameter Optimisation for Quantum Kernel Alignment A Sub-sampling Approach in Variational Training
2024Sahin et al.
Kernel Methods
Explicit quantum surrogates for quantum kernel models
2024Nakayama et al.
Kernel Methods
Gaussian process model kernels for noisy optimization in variational quantum algorithms
2024Arceci, Kuzmin, Bijnen
Kernel Methods
Hybrid model of the kernel method for quantum computers
2024Silveira de Borba, Maziero
Kernel Methods
In Search of Quantum Advantage Estimating the Number of Shots in Quantum Kernel Methods
2024Miroszewski et al.
Kernel Methods
Kernel Descent — a Novel Optimizer for Variational Quantum Algorithms
2024Simon, Eble, Radons
Kernel Methods
Power Characterization of Noisy Quantum Kernels
2024Wang et al.
Kernel Methods
Quadratic speed-ups in quantum kernelized binary classification
2024Lee, Park
Kernel Methods
Quantum Adversarial Learning for Kernel Methods
2024Montalbano, Banchi
Kernel Methods
Realizing Quantum Kernel Models at Scale with Matrix Product State Simulation
2024Metcalf, Andrés-Martinez, Fitzpatrick
Kernel Methods
The Impact of Feature Embedding Placement in the Ansatz of a Quantum Kernel in QSVMs
2024Salmenperä et al.
Kernel Methods