Quantum Data Encoding

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24 papers11 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

  1. Hidden selection rules and amplitude ceilings in quantum Fourier models

    Oct 31, 2026Pavel Sulimov, Claude LehmannQuantum Circuit ExpressibilityVariational Quantum Circuits

    Zurich University of Applied Sciences (ZHAW), Zurich, Switzerland

  2. Overcoming the Representational Limitations of Amplitude Encoding for Quantum Neural Networks

    Oct 30, 2026Vincent Gurgul, David PrinzQuantum Data EncodingQuantum Neural Networks

    Chair of Information Systems, Humboldt-Universität zu Berlin, Unter den Linden 6, 10117 Berlin, Germany · Lamarr Institute for Machine Learning and Artificial Intelligence, Rheinische Friedrich-Wilhelms-Universität Bonn, Friedrich-Hirzebruch-Allee 6, 53115 Bonn, Germany

  3. Quantum Evolution Kernel for Node-Attributed Graphs

    Oct 27, 2026Manuel Padovani, Alessandra Di Pierro, Claudia DaffaraQuantum Kernel MethodsGraph Representation Learning

    Department of Computer Science, University of Verona, Verona, Italy

  4. A quantum k-nearest neighbors implementation using magnitude-aware comparisons

    Oct 24, 2026Christopher Rector, Jiangwen Sunk-Nearest NeighborsQuantum Machine Learning

    Computer Science, Old Dominion University, 1 Old Dominion University, Norfolk, 23529, VA, United States of America.

  5. Quantum Closed Loop Inverse Kinematics Through Hilbert-Space Encoding of Robot Kinematics

    Oct 24, 2026Andrea Morghen, Pierluigi Arpenti, Roberto Schiattarella +2Robot KinematicsInverse Kinematics

    University of Naples Federico II, Naples, Italy

  6. Supervised Learning with Quantum Hamiltonian Embeddings

    Oct 19, 2026Riccardo Molteni, Minjun Jeon, Paolo Braccia +8Quantum Machine LearningQuantum Data Encoding

    IBM Research · Applied Quantum Algorithms ⟨aQaL⟩, Leiden University, The Netherlands · Department of Materials, University of Oxford, Parks Road, Oxford OX1 3PH, United Kingdom +1

  7. Margin-Based Generalization for Quantum Machine Learning with Classical Data Encoding

    Oct 17, 2026Ju-Young Ryu, Tak Hur, Daniel K. ParkQuantum Machine LearningGeneralization Bounds

    Korea Institute of Science and Technology Information, Republic of Korea · Department of Statistics and Data Science, Yonsei University, Republic of Korea · Department of Applied Mathematics, University of Waterloo, Canada +2

  8. Prototype-Guided Optimization of Quantum Data Embeddings with Linear Cost

    Oct 17, 2026Seokhoon Jeong, Daniel K. ParkQuantum Data EncodingQuantum Kernel Methods

    Department of Statistics and Data Science Yonsei University Republic of Korea · Department of Statistics and Data Science Department of Applied Statistics Department of Quantum Information Yonsei University Republic of Korea

  9. Same Spectrum, Harder First-Order Training: Phase-Locking in Single- versus Multi-Qubit Re-Uploading Circuits

    Oct 15, 2026Michael Poppel, David Bucher, Maximilian Zorn +5Quantum Circuit TrainabilityQuantum Machine Learning

    Department of Computer Science, LMU Munich, Germany · Aqarios GmbH, Munich, Germany

  10. A Tutorial on Quantum Amplitude Embedding with Data Re-Uploading

    Oct 13, 2026Hyojun Ahn, Joongheon KimQuantum Circuit ExpressibilityQuantum Machine Learning

    Department of Electrical & Computer Engineering, Korea University, Seoul, Republic of Korea

  11. Quantum data loading from the learned shared structure of real signals

    Oct 5, 2026Pablo Herrero Gómez, Antonio Jimeno Morenilla, David Muñoz-Hernández +1Quantum Machine LearningQuantum State Preparation

    Department of Computer Science Technology and Computation, Universidad de Alicante, San Vicente del Raspeig, 03690 Alicante, Spain

  12. When Quantum Meets AI: Quantum Methods for Machine Learning and Machine Learning Methods for Quantum Systems

    Sep 22, 2026Tak HurNeural Quantum StatesQuantum Error Correction

    Department of Statistics and Data Science Graduate School Yonsei University

  13. Structure-Preserving Quantum Circuit Architectures for Robot Kinematics

    Sep 14, 2026Andrea Morghen, Pierluigi Arpenti, Roberto Schiattarella +2Robot KinematicsRobotics

    Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, 80125 Naples, Italy · Department of Physics “Ettore Pancini”, University of Naples Federico II, 80126 Naples, Italy

  14. Fractal dimension predicts quantum kernel collapse in angle-encoded data

    Aug 31, 2026Ana Paula AppelQuantum Feature MapsIntrinsic Dimensionality

  15. Quantum Topological Data Encoding

    Jul 15, 2026Adam Wesołowski, Dimitrios Thanos, Daniel Leykam +1Quantum Machine LearningQuantum Data Encoding

    Royal Holloway University of London, Department of Computer Science, UK · Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Leiden, The Netherlands · Science, Mathematics and Technology Cluster, Singapore University of Technology and Design, Singapore +1

  16. Overcoming Fourier Locking in Quantum Data Re-uploading Classifiers via Spectral Homotopy

    Jul 13, 2026Spencer TopelQuantum Machine LearningVariational Quantum Circuits

    Moth, Brooklyn, New York

  17. Qubit-Efficient Quantum Search for Hyperdimensional Decomposition via Logarithmic Encoding

    Jul 11, 2026Sanggeon Yun, Hyunwoo Oh, Ryozo Masukawa +2Hyperdimensional ComputingQuantum Data Encoding

    University of California, Irvine

  18. Tailor Made Embeddings for Quantum Machine Learning

    Jun 24, 2026Aldo Lamarre, Dominik ŠafránekVariational AutoencodersQuantum Machine Learning

    Department of Electrical Engineering, KAIST, Daejeon, South Korea · Center for Theoretical Physics of Complex Systems, Institute for Basic Science (IBS), Daejeon - 34126, Korea · Faculty of Mathematics and Physics, Charles University, Ke Karlovu 3, 121 16 Praha 2, Czech Republic

  19. Generative Quantum Data Embeddings for Supervised Learning

    May 29, 2026Jaewoong Heo, Daniel K. ParkQuantum Machine LearningClassification

    Department of Statistics and Data Science, Yonsei University, Seoul 03722, Republic of Korea · Department of Applied Statistics, Yonsei University, Seoul 03722, Republic of Korea · Department of Quantum Information, Yonsei University, Seoul 03722, Republic of Korea

  20. A Matched Spectral Benchmark of Quantum Inspired Feature Maps

    May 23, 2026Toheeb Ogunade, Taofeek Kassim, Etinosa OsaroQuantum Feature MapsQuantum 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

  21. Magnitude Is All You Need? Rethinking Phase in Quantum Encoding of Complex SAR Data

    Apr 14, 2026Sakthi Prabhu Gunasekar, Prasanna Kumar RangarajanSAR ATRQuantum Data Encoding

    Dept. of Computer Science & Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, India

  22. Shot-based quantum encoding: a data-loading paradigm for quantum neural networks

    Apr 7, 2026Basil Kyriacou, Viktoria Patapovich, Maniraman Periyasamy +1Quantum Data EncodingQuantum Machine Learning

    Terra Quantum AG, 9000 St. Gallen, Switzerland

  23. Structured Unitary Tensor Network Representations for Circuit-Efficient Quantum Data Encoding

    Feb 18, 2026Guang Lin, Toshihisa Tanaka, Qibin ZhaoQuantum Data EncodingQuantum Machine Learning

    RIKEN Center for Advanced Intelligence Project · Tokyo University of Agriculture and Technology

  24. Re-uploading quantum data: a universal function approximator for quantum inputs

    Sep 23, 2025Hyunho Cha, Daniel K. Park, Jungwoo LeeQuantum Machine LearningUniversal Approximation

    NextQuantum and Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea · Department of Statistics and Data Science, Yonsei University, Seoul 03722, Republic of Korea · Department of Applied Statistics, Yonsei University, Seoul 03722, Republic of Korea +1