Saved in:
| Main Author: | Pandey, Tushar |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.05625 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fixed-Reservoir vs Variational Quantum Architectures for Chaotic Dynamics: Benchmarking QRC and QPINN on the Lorenz System
by: Pandey, Tushar
Published: (2026)
by: Pandey, Tushar
Published: (2026)
A Versatile Variational Quantum Kernel Framework for Non-Trivial Classification
by: Yuhan, Jiang, et al.
Published: (2025)
by: Yuhan, Jiang, et al.
Published: (2025)
Enhancing Small Dataset Classification Using Projected Quantum Kernels with Convolutional Neural Networks
by: Alagiyawanna, A. M. A. S. D., et al.
Published: (2026)
by: Alagiyawanna, A. M. A. S. D., et al.
Published: (2026)
Hybrid Quantum-Classical Learning for Multiclass Image Classification
by: Anwar, Shuchismita, et al.
Published: (2025)
by: Anwar, Shuchismita, et al.
Published: (2025)
Quantum Generator Kernels
by: Altmann, Philipp, et al.
Published: (2026)
by: Altmann, Philipp, et al.
Published: (2026)
A Hybrid Classical-Quantum Fine Tuned BERT for Text Classification
by: Masum, Abu Kaisar Mohammad, et al.
Published: (2025)
by: Masum, Abu Kaisar Mohammad, et al.
Published: (2025)
A Resource Efficient Quantum Kernel
by: Singh, Utkarsh, et al.
Published: (2025)
by: Singh, Utkarsh, et al.
Published: (2025)
The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning
by: Incudini, Massimiliano, et al.
Published: (2022)
by: Incudini, Massimiliano, et al.
Published: (2022)
Benign Overfitting with Quantum Kernels
by: Tomasi, Joachim, et al.
Published: (2025)
by: Tomasi, Joachim, et al.
Published: (2025)
Quantum Transfer Learning for MNIST Classification Using a Hybrid Quantum-Classical Approach
by: Sarkar, Soumyadip
Published: (2024)
by: Sarkar, Soumyadip
Published: (2024)
Quantum Machine Learning: Quantum Kernel Methods
by: Naguleswaran, Sanjeev
Published: (2024)
by: Naguleswaran, Sanjeev
Published: (2024)
A Hyperparameter Study for Quantum Kernel Methods
by: Egginger, Sebastian, et al.
Published: (2023)
by: Egginger, Sebastian, et al.
Published: (2023)
HQCC: A Hybrid Quantum-Classical Classifier with Adaptive Structure
by: Zhao, Ren-Xin, et al.
Published: (2025)
by: Zhao, Ren-Xin, et al.
Published: (2025)
QUACK: Quantum Aligned Centroid Kernel
by: Tscharke, Kilian, et al.
Published: (2024)
by: Tscharke, Kilian, et al.
Published: (2024)
Spectral Phase Encoding for Quantum Kernel Methods
by: Gómez, Pablo Herrero, et al.
Published: (2026)
by: Gómez, Pablo Herrero, et al.
Published: (2026)
Entanglement Detection with Quantum-inspired Kernels and SVMs
by: Martínez-Sabiote, Ana, et al.
Published: (2025)
by: Martínez-Sabiote, Ana, et al.
Published: (2025)
Quantum Kernel Methods under Scrutiny: A Benchmarking Study
by: Schnabel, Jan, et al.
Published: (2024)
by: Schnabel, Jan, et al.
Published: (2024)
Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential
by: Kadri, Hachem, et al.
Published: (2025)
by: Kadri, Hachem, et al.
Published: (2025)
In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods
by: Miroszewski, Artur, et al.
Published: (2024)
by: Miroszewski, Artur, et al.
Published: (2024)
Quantum Policy Gradient in Reproducing Kernel Hilbert Space
by: Bossens, David M., et al.
Published: (2024)
by: Bossens, David M., et al.
Published: (2024)
Distributed and Secure Kernel-Based Quantum Machine Learning
by: Swaminathan, Arjhun, et al.
Published: (2024)
by: Swaminathan, Arjhun, et al.
Published: (2024)
QuaRK: A Quantum Reservoir Kernel for Time Series Learning
by: Aaraba, Abdallah, et al.
Published: (2026)
by: Aaraba, Abdallah, et al.
Published: (2026)
Evaluating the Impact of Different Quantum Kernels on the Classification Performance of Support Vector Machine Algorithm: A Medical Dataset Application
by: Akpinar, Emine, et al.
Published: (2024)
by: Akpinar, Emine, et al.
Published: (2024)
Twirlator: A Pipeline for Analyzing Subgroup Symmetry Effects in Quantum Machine Learning Ansatzes
by: Uotila, Valter, et al.
Published: (2025)
by: Uotila, Valter, et al.
Published: (2025)
Modeling Quantum Autoencoder Trainable Kernel for IoT Anomaly Detection
by: Chandrasekhar, Swathi, et al.
Published: (2025)
by: Chandrasekhar, Swathi, et al.
Published: (2025)
Experimental Machine Learning with Classical and Quantum Data via NMR Quantum Kernels
by: Sabarad, Vivek, et al.
Published: (2024)
by: Sabarad, Vivek, et al.
Published: (2024)
Quantum Ensemble for Classification
by: Macaluso, Antonio, et al.
Published: (2020)
by: Macaluso, Antonio, et al.
Published: (2020)
Parity Cross-Resonance: A Multiqubit Gate
by: Xu, Xuexin, et al.
Published: (2025)
by: Xu, Xuexin, et al.
Published: (2025)
Quantum Adversarial Learning for Kernel Methods
by: Montalbano, Giuseppe, et al.
Published: (2024)
by: Montalbano, Giuseppe, et al.
Published: (2024)
Q2SAR: A Quantum Multiple Kernel Learning Approach for Drug Discovery
by: Giraldo, Alejandro, et al.
Published: (2025)
by: Giraldo, Alejandro, et al.
Published: (2025)
Kernel Learning for Regression via Quantum Annealing Based Spectral Sampling
by: Hasegawa, Yasushi, et al.
Published: (2026)
by: Hasegawa, Yasushi, et al.
Published: (2026)
Enhancing Quantum Support Vector Machines through Variational Kernel Training
by: Innan, Nouhaila, et al.
Published: (2023)
by: Innan, Nouhaila, et al.
Published: (2023)
CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data
by: Chen, Kuan-Cheng, et al.
Published: (2024)
by: Chen, Kuan-Cheng, et al.
Published: (2024)
Quantum Measurement Classification with Qudits
by: Useche, Diego H., et al.
Published: (2021)
by: Useche, Diego H., et al.
Published: (2021)
Quantum Algorithms for the Pathwise Lasso
by: Doriguello, Joao F., et al.
Published: (2023)
by: Doriguello, Joao F., et al.
Published: (2023)
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training
by: Sahin, M. Emre, et al.
Published: (2024)
by: Sahin, M. Emre, et al.
Published: (2024)
Quantum Kernel Methods: Convergence Theory, Separation Bounds and Applications to Marketing Analytics
by: Sáez-Ortuño, Laura, et al.
Published: (2025)
by: Sáez-Ortuño, Laura, et al.
Published: (2025)
A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning
by: Cowlessur, Hevish, et al.
Published: (2025)
by: Cowlessur, Hevish, et al.
Published: (2025)
Empirical Quantum Advantage Analysis of Quantum Kernel in Gene Expression Data
by: Ghosh, Arpita, et al.
Published: (2024)
by: Ghosh, Arpita, et al.
Published: (2024)
Q-SINDy: Quantum-Kernel Sparse Identification of Nonlinear Dynamics with Provable Coefficient Debiasing
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
Similar Items
-
Fixed-Reservoir vs Variational Quantum Architectures for Chaotic Dynamics: Benchmarking QRC and QPINN on the Lorenz System
by: Pandey, Tushar
Published: (2026) -
A Versatile Variational Quantum Kernel Framework for Non-Trivial Classification
by: Yuhan, Jiang, et al.
Published: (2025) -
Enhancing Small Dataset Classification Using Projected Quantum Kernels with Convolutional Neural Networks
by: Alagiyawanna, A. M. A. S. D., et al.
Published: (2026) -
Hybrid Quantum-Classical Learning for Multiclass Image Classification
by: Anwar, Shuchismita, et al.
Published: (2025) -
Quantum Generator Kernels
by: Altmann, Philipp, et al.
Published: (2026)