Quantum Kernels

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Period ending 2026-09-07

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A weekly snapshot of new work published in Quantum Kernels.

29 papers

Latest in Quantum Kernels

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Fractal dimension predicts quantum kernel collapse in angle-encoded data
Aug 31, 2026Ana Paula AppelQuantum Kernels Quantum Computing
Beyond the Gegenbauer Paradigm: q-Orthogonal Kernels for Machine Learning
Aug 4, 2026Álvaro Sánchez-Paniagua Ríos, Juan P. Llerena, Alberto Lastra +2Quantum Kernels Kernel Method
Statevector-Referenced Geometry Survival of a Four-Qubit ZZ Quantum Kernel on IBM Quantum Hardware: A Fixed-Subset Diagnostic Across Three Execution Configurations
Jul 22, 2026Rostyslav SipakovQuantum Kernels Quantum Computing
A Multiclass Quantum Aligned Centroid Kernel
Jul 22, 2026Kilian Tscharke, Pascal DebusQuantum Kernels Qubit
RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation
Jul 15, 2026Abdallah Aaraba, Alexis Vieloszynski, Remon Polus +2Quantum Kernels Radio Frequency
$\mathtt{Q^2SAR}$ : overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning\mathtt{Q^2SAR}: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning
Jul 13, 2026Mariano Caruso, Daniel Ruiz, Alejandro Giraldo +1Quantum Kernels Drug Discovery
Learning Topological Quantum Phases from Limited Subsystems
Jul 12, 2026Mehran Khosrojerdi, Sougato Bose, Alessandro Cuccoli +3Quantum Topological Phases Quantum Kernels
Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization
Jul 1, 2026Yuqi Huang, Vincent Y. F. Tan, Sharu Theresa JoseQuantum Kernels Quantum Advantage
Active Quantum Kernel Acquisition for Gaussian Process Regression
Jun 27, 2026Jian Xu, Artur Miroszewski, John Paisley +2Quantum Kernels Gaussian Process
Quantum Dynamic Time Warping for Multivariate Time Series Classification
Jun 26, 2026Diego Alvarez-Estevez, Alejandro Mayorga-Redondo, Eduardo Mosqueira-ReyHybrid Quantum Neural Networks Quantum Kernels
QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification
Jun 19, 2026Azadeh Alavi, Fatemeh Kouchmeshki, Muhammad Usman +1Quantum Kernels Structure-Based Drug Design
Effective Dimension Governs Generalization in Quantum Kernel Vision Models
Jun 18, 2026Jian Xu, Delu Zeng, John Paisley +1Quantum Kernels Entanglement
Enhancing Quantum Machine Learning with Anyons
Jun 15, 2026Da Zhang, Wen-Qiang Liu, Zhaohui Wei +1Quantum Kernels Quantum Machine Learning
Hybrid Classical-Quantum (HCQ) Alzheimer's Classification via Supervised $β$ -VAE and Quantum KernelsHybrid Classical-Quantum (HCQ) Alzheimer's Classification via Supervised β-VAE and Quantum Kernels
Jun 12, 2026Tia Tiwari, Vamshi Krishna Kancharla, Neelam SinhaHybrid Quantum Neural Networks Quantum Kernels
Spectral Anatomy of Quantum Gaussian Process Kernels
May 29, 2026Jian Xu, Chao Li, Guang Lin +4Quantum Kernels Gaussian Process
Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study
May 27, 2026Sudip Vhaduri, Ryan Gammon, Sayanton DibboQuantum Machine Learning Quantum Kernels
Adaptive Measurement Allocation for Learning Kernelized SVMs Under Noisy Observations
May 21, 2026Artur MiroszewskiQuantum Kernels Support Vector Machines
Supervised Latent Restructuring for Small-Data Quantum Learning in Plant Phenomics
May 19, 2026Alakananda Mitra, David H. Fleisher, Vangimalla Reddy +1Quantum Kernels Principal Component Analysis
AQKA: Active Quantum Kernel Acquisition Under a Shot Budget
May 14, 2026Jian Xu, Chao Li, Delu Zeng +2Quantum Kernels Quantum Computing
Quantum Kernels for Audio Deepfake Detection Using Spectrogram Patch Features
May 7, 2026Lisan Al Amin, Rakib Hossain, Mahbubul Islam +2Audio Deepfake Detection Mel-Frequency Cepstral Coefficient
Quantum Kernels for Parity-Structured Classification: A Hybrid Pipeline
May 7, 2026Tushar PandeyQuantum Kernels Radial Basis Function
Parameterized Quantum Circuits as Feature Maps: Representation Quality and Readout Effects in Multispectral Land-Cover Classification
Apr 29, 2026Ralntion Komini, Aikaterini Mandilara, Georgios Maragkopoulos +1Quantum Kernels Normalized Difference Vegetation Index
Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings
Apr 27, 2026Sebastian Cajas Ordóñez, Felipe Ocampo Osorio, Dax Enshan Koh +10Quantum Kernels Medical Image Classification
Benchmarking Quantum Kernel Support Vector Machines Against Classical Baselines on Tabular Data: A Rigorous Empirical Study with Hardware Validation
Apr 20, 2026Siavash Kakavand, Christoph Strohmeyer, Michael SchlotterQuantum Kernels Hybrid Quantum Neural Networks
Q-SINDy: Quantum-Kernel Sparse Identification of Nonlinear Dynamics with Provable Coefficient Debiasing
Apr 18, 2026Samrendra Roy, Syed Bahauddin AlamSystem Identification Quantum Kernels
Optimal algorithmic complexity of inference in quantum kernel methods
Apr 16, 2026Elies Gil-Fuster, Seongwook Shin, Sofiene Jerbi +2Quantum Kernels Quantum Advantage
Benign Overfitting with Quantum Kernels
Mar 21, 2025Joachim Tomasi, Sandrine Anthoine, Hachem KadriQuantum Kernels Overfitting
Classification of Financial Data Using Quantum Support Vector Machine
Dec 14, 2024Seemanta Bhattacharjee, MD. Muhtasim Fuad, A. K. M. Fakhrul HossainQuantum Kernels Kernel Method
Classical and quantum kernel fusion for two-sample testing
Date pendingYu Terada, Yugo Ogio, Ken Arai +2Quantum Kernels Two-Sample Testing

Aug 31, 2026 · quant-phJ/K move · Enter open · S save

Fractal dimension predicts quantum kernel collapse in angle-encoded data

Ana Paula Appel

Angle-encoded quantum kernels on tabular data collapse when the feature map is wider than the intrinsic dimension of the data. We propose the correlation fractal dimension D2 as an a priori qubit budget: encode D2 coordinates chosen by FD-ASE instead of the PCA-95% width or all E attributes. On nine data sets and a statevector simulator (n= 32), a one-layer ZZ fidelity kernel at q=D2 stays geometrically alive while the same kernel at the PCA-95% width has already collapsed. The budget is map-dependent: product-state and IQP maps overshoot it; a second ZZ layer undershoots it. Packed dense-angle and re-uploading encodings still live at the fractal q, but not when PCA-95% features are stacked onto those qubits. Shrinking the angle bandwidth moves the ZZ knee later; stretching it kills the kernel earlier. On IBM Quantum (ibm_fez, 256 shots, n=8) the one-layer ZZ kernel at the fractal width matches the exact kernel (MAE 0.021); past that width both hardware and simulator have collapsed. The ceiling is a property of the map-data pair at a stated bandwidth, not of the classical table alone.

Quantum Kernels Quantum Computing Encode Collapse Tabular Data

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