Quantum Feature Maps

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5 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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A Width-Matched Comparison of Hybrid Quantum-Classical Self-Supervised Learning for Fingerprint Recognition
Sep 30, 2026Maria S. Edwards, Kidwell Dlamini, Pin-An Lin +2Quantum Feature Maps Contrastive Learning
Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan · Department of Computer Science and Information Engineering, National Chiayi University, Chiayi City, Taiwan
SQUARE: Structured Quantum Representation Adapters as Compact Quadratic Feature Maps for Frozen Language Models
Sep 29, 2026Emily Jimin Roh, Hyojun Ahn, Hoyeong Lee +4Quantum Feature Maps Representation Learning
Korea University · Sookmyung Women’s University · Ulsan National Institute of Science and Technology +2
QuPID: Quantum Parameter-Efficient Input-Dependent Retrieval Adaptation for Medical RAG
Sep 27, 2026Hyojun Ahn, Emily Jimin Roh, Soohyun Park +3Quantum Feature Maps Retrieval-Augmented Generation
Korea University · Sookmyung Women’s University · Virginia Tech +2
Hybrid Variational Quantum Circuits for Multivariate Regression and High-Dimensional Data Reconstruction
Sep 15, 2026Koffi Ognandon Ayena, Frédéric Holweck, Serge Iovleff +1Quantum Feature Maps Image Reconstruction
ICB · ICB, UTBM · F-90000 Belfort, France +4
Quantum Feature Engineering for Credit Default Prediction: When and Why IQP Circuits Help Linear Classifiers
Sep 9, 2026Menachem Finkelstein, Diana Legziel Levy, Zohar Yakhini +1Quantum Feature Maps Quantum Machine Learning
Reichman University, Israel
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
PQFA: Parallel Quantum Feature Augmentation of Fused Representations for Multimodal Classification
Jul 15, 2026Mingzhu Wang, Yun ShangQuantum Feature Maps Quantum Machine Learning
Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China · School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China · State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China
Exploring the Effects of Entanglement on Quantum Machine Learning of Pathogen Epitope-Receptor Binding
Jun 27, 2026Aspen Erlandsson Brisebois, Luis Pablo Gonzalez Dominguez, Shivansi Prajapati +8Quantum Feature Maps Quantum Machine Learning
Vaccine and Infectious Disease Organization (VIDO), University of Saskatchewan, Saskatoon, SK, Canada · Engineering Science, Faculty of Applied Science, University of Toronto, Toronto, ON, Canada · Department of Mathematics and Statistics, University of Saskatchewan, Saskatoon, SK, Canada +5
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
A Matched Spectral Benchmark of Quantum Inspired Feature Maps
May 23, 2026Toheeb Ogunade, Taofeek Kassim, Etinosa OsaroQuantum Feature Maps Quantum Machine Learning
Department of Computer Science, University of Lagos, Lagos, Nigeria · Department of Physics, University of Lagos, Lagos, Nigeria · Department of Chemical Engineering, University of Notre Dame, Indiana, USA
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
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
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

Sep 30, 2026, quant-phJ/K move · Enter open · S save

A Width-Matched Comparison of Hybrid Quantum-Classical Self-Supervised Learning for Fingerprint Recognition

Maria S. Edwards, Kidwell Dlamini, Pin-An Lin, Wen-Hsien Hsu+1

Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan · Department of Computer Science and Information Engineering, National Chiayi University, Chiayi City, Taiwan

Quantum Feature Maps Contrastive Learning Biometric Identification Self-Supervised Learning Hybrid Quantum-Classical ML

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Fingerprint recognition is a widely deployed biometric, but supervised training requires large labeled enrollment sets. Self-supervised learning (SSL) removes this requirement, and hybrid quantum-classical models have been proposed to enrich the learned representations. Prior quantum SSL studies consider a single contrastive objective, so it is unclear whether reported benefits depend on the objective or can be attributed to the quantum circuit. We insert the QuFeX quantum feature-extraction module into three SSL frameworks, the contrastive SimCLR and MoCo v2 and the non-contrastive BYOL, and compare each hybrid with its classical counterpart at matched representation width (8 features, equal to 8 qubits) on the SOCOFing fingerprint dataset, with a CIFAR-10 control, using k-nearest-neighbor identification on encoder features. In single-run experiments the hybrid scores clearly higher for both contrastive objectives, whereas for BYOL a multi-seed analysis shows no reliable difference, suggesting that any benefit depends on the SSL objective. A hardware-efficient circuit (QNet) does not show the same gain. We examine whether the gains can be attributed to the quantum circuit, considering circuit architecture, trainable parameter count, nonlinearity, and the classical simulability of 8-qubit circuits.

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