Quantum Kernel Methods

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Pareto-optimal quantum kernel selection for unsupervised anomaly detection on real malware beaconing data
Oct 7, 2026Boaz Micah, Nadia Milazzo, Maissa Beji +8Quantum Kernel Methods Unsupervised Anomaly Detection
Multiverse Computing, Parque Científico y Tecnológico de Gipuzkoa, Paseo de Miramón 170, Planta 2, 20014 Donostia / San Sebastián, Spain · IQM Quantum Computers, 4 rue Royale, 75008 Paris, France · Multiverse Computing, 7 rue de la Croix Martre, 91120 Palaiseau, Paris, France +3
On Evaluating Quantum Kernel Robustness for Low-Resource Cross-Corpus Audio Deepfake Detection
Sep 30, 2026Lisan Al Amin, Lei Zhang, Vandana P. JanejaAudio Deepfake Detection Domain Generalization
University of Maryland, Baltimore County, Baltimore, Maryland, USA
Quantum Computing for Network Security Classification: Near-Term Classification and Long-Term Memory Efficiency
Sep 29, 2026Yuqing Li, Poonam Bala Nehru, Yunpeng Zhang +4Network Intrusion Detection Quantum Kernel Methods
University of Pittsburgh, Pittsburgh, PA, USA · University of Houston, Houston, TX, USA
Comparative Study of Quantum and Classical Machine Learning Models in Binary Classification
Sep 20, 2026Anand Kumar Mishra, Ramanuj AwasthiQuantum Machine Learning Quantum Kernel Methods
School of Engineering & Technology (UIET), CSJM University, Kanpur, Uttar Pradesh, India
Fractal dimension predicts quantum kernel collapse in angle-encoded data
Aug 31, 2026Ana Paula AppelQuantum Feature Maps Intrinsic Dimensionality
When Similarity Is Interaction-Driven: Quantum Kernels for Regime-Sensitive Learning
Aug 25, 2026Hanqiu Peng, Jianlong Lu, Ying ChenQuantum Feature Maps Feature Interaction Modeling
Centre for Quantitative Finance, Department of Mathematics Risk Management Institute, National University of Singapore, Singapore
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 Feature Maps Quantum Kernel Methods
Department of Environmental Protection and Occupational Safety Technologies, Kyiv National University of Construction and Architecture, Kyiv, Ukraine
A Multiclass Quantum Aligned Centroid Kernel
Jul 22, 2026Kilian Tscharke, Pascal DebusMulticlass Classification Quantum Kernel Methods
Fraunhofer Institute for Applied and Integrated Security (AISEC), 85748 Garching near Munich, Germany
Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization
Jul 1, 2026Yuqi Huang, Vincent Y. F. Tan, Sharu Theresa JoseBayesian Optimization Quantum Kernel Methods
Department of Mathematics, National University of Singapore, Singapore · Department of Electrical and Computer Engineering, National University of Singapore, Singapore · School of Computer Science, University of Birmingham, Birmingham, United Kingdom
Active Quantum Kernel Acquisition for Gaussian Process Regression
Jun 27, 2026Jian Xu, Artur Miroszewski, John Paisley +2Quantum Kernel Methods Gaussian Process Regression
RIKEN iTHEMS · RIKEN AIP · European Space Agency +2
Quantum Dynamic Time Warping for Multivariate Time Series Classification
Jun 26, 2026Diego Alvarez-Estevez, Alejandro Mayorga-Redondo, Eduardo Mosqueira-ReyDynamic Time Warping Multivariate Time Series Classification
CITIC Research Center · Universidade da Coruña · A Coruña, 15071, Spain
QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification
Jun 19, 2026Azadeh Alavi, Fatemeh Kouchmeshki, Muhammad Usman +1Quantum Machine Learning Quantum Kernel Methods
School of Computing Technologies, RMIT University, Melbourne 3000, Australia · Pattern Recognition Pty Ltd, Melbourne 3240, Australia · Data61, CSIRO, Clayton, VIC, Australia +1
Effective Dimension Governs Generalization in Quantum Kernel Vision Models
Jun 18, 2026Jian Xu, Delu Zeng, John Paisley +1Quantum Feature Maps Intrinsic Dimensionality
RIKEN iTHEMS · RIKEN AIP · South China University of Technology +1
Enhancing Quantum Machine Learning with Anyons
Jun 15, 2026Da Zhang, Wen-Qiang Liu, Zhaohui Wei +1Quantum Machine Learning Quantum Kernel Methods
Center for Quantum Technology Research and Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements (MOE), School of Physics, Beijing Institute of Technology, Beijing 100081, China · Department of Mathematics and Physics, Shijiazhuang Tiedao University, Shijiazhuang 050043, China · Yau Mathematical Sciences Center, Tsinghua University, Beijing 100084, China +1
An LLM System for Autonomous Variational Quantum Circuit Design
Jun 11, 2026Kenya Sakka, Wataru Mizukami, Kosuke MitaraiQuantum Chemistry Quantum Kernel Methods
Center for Quantum Information and Quantum Biology, The University of Osaka, 1-2 Machikaneyama, Toyonaka 560-0043, Japan · Graduate School of Engineering Science, The University of Osaka 1-3 Machikaneyama, Toyonaka, Osaka 560-8531, Japan
Spectral Anatomy of Quantum Gaussian Process Kernels
May 29, 2026Jian Xu, Chao Li, Guang Lin +4Quantum Machine Learning Gaussian Processes
1RIKEN iTHEMS · 2RIKEN AIP · 3South China University of Technology +1
Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study
May 27, 2026Sudip Vhaduri, Ryan Gammon, Sayanton DibboQuantum Convolutional Neural Networks Quantum Machine Learning
Department of Computer Science, University of Alabama, AL 35487 · Clemson University
Supervised Latent Restructuring for Small-Data Quantum Learning in Plant Phenomics
May 19, 2026Alakananda Mitra, David H. Fleisher, Vangimalla Reddy +1Plant Phenotyping Representation Learning
Nebraska Water Center, IANR University of Nebraska–Lincoln Lincoln, NE 68588 · Adaptive Cropping Systems Laboratory USDA-ARS Beltsville, MD 20705 · Nebraska Water Center, DWFI University of Nebraska–Lincoln Lincoln, NE 68588
AQKA: Active Quantum Kernel Acquisition Under a Shot Budget
May 14, 2026Jian Xu, Chao Li, Delu Zeng +2Kernel Regression Active Learning
1RIKEN iTHEMS · 2RIKEN AIP · 3South China University of Technology +1
A Quantum Inspired Variational Kernel and Explainable AI Framework for Cross Region Solar and Wind Energy Forecasting
May 9, 2026Pavan Manjunath, Thomas PruferTime Series Forecasting Quantum-Inspired ML
Independent Research Scholar, Germany
Quantum Kernels for Audio Deepfake Detection Using Spectrogram Patch Features
May 7, 2026Lisan Al Amin, Rakib Hossain, Mahbubul Islam +2Quantum Feature Maps Audio Deepfake Detection
Potomac Quantum, USA · United International University, Dhaka, Bangladesh · University of Maryland, College Park, MD, USA +2
Quantum Kernels for Parity-Structured Classification: A Hybrid Pipeline
May 7, 2026Tushar PandeyQuantum Feature Maps Quantum Machine Learning
Texas A&M University, Department of Mathematics College Station, TX, USA
Provable and scalable quantum Gaussian processes for quantum learning
Apr 30, 2026Jonas Jäger, Paolo Braccia, Pablo Bermejo +3Quantum Machine Learning Quantum Kernel Methods
Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA · Department of Computer Science and Institute of Applied Mathematics, University of British Columbia, Vancouver, V6T 1Z4 B.C., Canada · Stewart Blusson Quantum Matter Institute, Vancouver, V6T 1Z4 B.C., Canada +8
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 Feature Maps Land Cover Classification
Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece · Eulambia Advanced Technologies Ltd, Agiou Ioannou 24, Ag. Paraskevi, 15342, Greece
Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings
Apr 27, 2026Sebastian Cajas Ordóñez, Felipe Ocampo Osorio, Dax Enshan Koh +10Chest X-Ray Classification Healthcare
1MIT Critical Data, Massachusetts Institute of Technology, Cambridge, MA, USA · 2Clinical Research Center, Artificial Intelligence Unit, Fundaci´on Valle del Lili, Cali, Valle del Cauca, Colombia · 3Quantum Innovation Centre (Q.InC), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore 138634, Republic of Singapore +15
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 Feature Maps Quantum Kernel Methods
SHARE at FAU, Schaeffler Technologies AG & Co. KG, Herzogenaurach 91074, Bavaria, Germany
Q-SINDy: Quantum-Kernel Sparse Identification of Nonlinear Dynamics with Provable Coefficient Debiasing
Apr 18, 2026Samrendra Roy, Syed Bahauddin AlamQuantum Feature Maps Sparse Identification of Nonlinear Dynamics
Department of Nuclear, Plasma, and Radiological Engineering University of Illinois at Urbana-Champaign Urbana, IL, USA · Department of Nuclear, Plasma, and Radiological Engineering University of Illinois at Urbana-Champaign National Center for Supercomputing Applications Urbana, IL, USA
Optimal algorithmic complexity of inference in quantum kernel methods
Apr 16, 2026Elies Gil-Fuster, Seongwook Shin, Sofiene Jerbi +2Query Complexity Quantum Kernel Methods
Dahlem Center for Complex Quantum Systems, Freie Universität Berlin, 14195 Berlin, Germany · Fraunhofer Heinrich Hertz Institute, 10587 Berlin, Germany · Department of Quantum Information Science and Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, 05006, Seoul, Republic of Korea +1
Benign Overfitting with Quantum Kernels
Mar 21, 2025Joachim Tomasi, Sandrine Anthoine, Hachem KadriBenign Overfitting Quantum Machine Learning
Aix-Marseille Univ, CNRS, LIS, Marseille, France. · Aix Marseille Univ, CNRS, I2M, Marseille, France.
Classification of Financial Data Using Quantum Support Vector Machine
Dec 14, 2024Seemanta Bhattacharjee, MD. Muhtasim Fuad, A. K. M. Fakhrul HossainQuantitative Finance Hybrid Quantum-Classical ML
Shahjalal University Of Science and Technology, Sylhet-3114, Bangladesh

Oct 7, 2026, quant-phJ/K move · Enter open · S save

Pareto-optimal quantum kernel selection for unsupervised anomaly detection on real malware beaconing data

Boaz Micah, Nadia Milazzo, Maissa Beji, Borja Aizpurua+7

Multiverse Computing, Parque Científico y Tecnológico de Gipuzkoa, Paseo de Miramón 170, Planta 2, 20014 Donostia / San Sebastián, Spain · IQM Quantum Computers, 4 rue Royale, 75008 Paris, France · Multiverse Computing, 7 rue de la Croix Martre, 91120 Palaiseau, Paris, France+3

Quantum Kernel Methods Unsupervised Anomaly Detection Multi-Objective Optimization Malware Detection

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Quantum kernel methods are leading candidates for a practical quantum advantage in machine learning, but assessing that potential requires two quantities usually reported separately: how well a kernel performs on the task, and how far its geometry departs from the classical kernels available for the same problem. We introduce a fully unsupervised, multi-objective protocol that optimises simultaneously the normalised pseudo discrepancy (NPD), a label-free proxy for anomaly detection quality, and the geometric difference (GD) to a tuned classical reference kernel, selecting models from the resulting Pareto front. We apply it to malware beaconing detection in real network traffic, using a one-class support vector machine with fidelity and projected quantum kernels over four data encodings, on simulators and on IQM's 20-qubit Garnet processor. NPD-guided selection alone finds a fidelity kernel that beats the tuned classical baseline, but with a geometric difference too small to certify the gain as quantum. Projected kernels reach far larger geometric differences; the Pareto-selected one only marginally exceeds the baseline (AUC

0.782

versus

0.765

g_{C\to Q}\approx 89>\sqrt{N}

relative to that reference kernel), still below the NPD-selected fidelity kernel (

0.840

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Latest papers 31