Quantum Machine Learning

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7 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

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Classical Hardness of Learning Functions of Hamiltonians
Oct 1, 2026Sota Hashimoto, Akinori KawachiQuantum Learning Quantum Machine Learning
Graduate School of Engineering, Mie University
Neural Fourier Surrogates for Data Reuploading Quantum Neural Networks
Sep 30, 2026Oliver Knitter, Jonathan Mei, Sang Hyub Kim +3Quantum Neural Networks Quantum Machine Learning
IonQ Inc., 4505 Campus Drive, College Park, MD 20740, USA.
Advantage of Sample Complexity in Quantum PAC Learning Requires Inverse Access to State-Preparation Unitaries
Sep 29, 2026Natsuto Isogai, Satoshi Yoshida, Mio MuraoQuantum Learning Quantum Machine Learning
Department of Physics, Graduate School of Science, The University of Tokyo, Tokyo, Japan
When Quantum Meets AI: Quantum Methods for Machine Learning and Machine Learning Methods for Quantum Systems
Sep 22, 2026Tak HurQuantum Machine Learning Quantum Neural Networks
Department of Statistics and Data Science Graduate School Yonsei University
Comparative Study of Quantum and Classical Machine Learning Models in Binary Classification
Sep 20, 2026Anand Kumar Mishra, Ramanuj AwasthiQuantum Machine Learning Quantum Kernels
School of Engineering & Technology (UIET), CSJM University, Kanpur, Uttar Pradesh, India
QiT: Quantum-Inspired Transformer for Visual Recognition Task
Sep 15, 2026Badri N. Patro, Vijay AgneeswaranSelf-Supervised Vision Transformers Quantum Machine Learning
Microsoft
Hybrid Quantum-Classical NLP Classification with Compact Semantic Representations: An Experimental Analysis of Representation Compression
Sep 9, 2026Ali Hassan, Zijia Zhao, Maha A. MetaweiHybrid Quantum-Classical Pipeline Quantum Machine Learning
German University in Cairo, Cairo, Egypt · University of Melbourne, Melbourne, Australia · High Performance Computing Lab, Electronics Research Institute, Cairo, Egypt
Characterizing Privacy Risks of Quantum Machine Learning with Emergent Quantum-Native Access
Sep 4, 2026Liou Tang, James Joshi, Ashish KunduQuantum Machine Learning Privacy
University of Pittsburgh, Pittsburgh, PA, USA · Cisco Research, San Jose, CA, USA
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits
Aug 6, 2026Prabhjot Singh, Adel N. Toosi, Rajkumar BuyyaQuantum Machine Learning Entanglement
Quantum Cloud Computing and Distributed Systems (qCLOUDS) Lab, School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, 3010, Australia
Hybrid Quantum Neural Networks: Theory, Implementations, and Applications
Aug 2, 2026Léo Monbroussou, Maniraman Periyasamy, Viacheslav Kuzmin +4Quantum Neural Networks Quantum Machine Learning
Terra Quantum AG, Kornhausstrasse 25, St. Gallen, 9000, Switzerland · Département de Physique Appliquée, Université de Genève, 24 Quai Ernest-Ansermet, Geneva, 1211, Switzerland
Adaptive Quantum Physics-Informed Neural Networks for Differential Equations with Applications to Fluid Dynamics
Aug 1, 2026Fabio Pereira dos Santos, Renato Portugal, Júlio de Castro Vargas Fernandes +1Quantum Neural Networks Hybrid Quantum-Classical Pipeline
Coordination of Mathematical and Computational Methods National Laboratory of Scientific Computing Av. Getúlio Vargas, 333 - Quitandinha, Petrópolis - RJ, 25651-075 · Center for Computation and Technology - Louisiana State University, 888 S. Stadium Dr., Baton Rouge, LA 70808, USA
Volcanic Clouds Detection through QCNN and Geostationary Satellite Multispectral Imagery
Jul 29, 2026Federica Torrisi, Claudia Corradino, Alessandro Grilli +5Satellite Imagery Earth Observation
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Osservatorio Etneo · Thales Alenia Space Italia · Dipartimento di Fisica e Astronomia “Ettore Majorana,” Universit`a di Catania, Catania, Italy +2
Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support
Jul 24, 2026Peiyong Wang, Udaya Parampalli, Casey R. MyersQuantum Machine Learning Hamiltonian
CSIRO Technology · Research Way, Clayton VIC 3168, Australia · School of Computing and Information Systems +6
Cautious optimism for deep parameterized quantum circuits
Jul 23, 2026Marie Kempkes, Elies Gil-Fuster, Carlos Bravo-Prieto +5Quantum Machine Learning Quantum Circuits
Leiden University, Niels Bohrweg 1, 2333 CA Leiden, Netherlands · Volkswagen Group Innovation, Berliner Ring 2, 38440 Wolfsburg, Germany · Dahlem Center for Complex Quantum Systems, Freie Universität Berlin, 14195 Berlin, Germany +4
Explainable quantum-compressed machine learning for complex fluid flows
Jul 23, 2026Xiao Xue, Maida Wang, Mingyang Gao +2Quantum Machine Learning Quantum Annealing
Centre for Computational Science, University College London, London, UK · Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities, Boltzmannstraße 1, 85748 Garching, Germany · Centre for Advanced Research Computing, University College London, London, UK
Machine Learning for Charge State Characterization of Isolated Double Quantum Dots
Jul 23, 2026Hyma Vallabhapurapu, Marco Candido, Krishna Choudhary +7Quantum Machine Learning Convolutional Neural Networks
Diraq, Sydney, New South Wales, Australia · School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, New South Wales, Australia
Classical Hardware Acceleration of Quantum Autoencoders for Real-Time Anomaly Detection in Collider Experiments
Jul 22, 2026Ivan Ge, Sagar Addepalli, Abhilasha Dave +1Quantum Machine Learning Field-Programmable Gate Arrays
Department of Physics, Stanford University, 450 Jane Stanford Way, Stanford, 94305, CA, USA. · SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, 94025, CA, USA.
Hybrid LLM-Guided Search for Quantum Reservoir Architecture Design
Jul 21, 2026Krishna Bhatia, Gautami Sanjay NaikReservoir Computing Quantum Machine Learning
QuantumAI Lab, Fractal Analytics India · Indian Institute of Information Technology Dharwad India
A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing
Jul 17, 2026Owen Lockwood, Jérémy Béjanin, Joost Bus +4Thermodynamics Inference Workloads
Extropic Corporation, San Francisco, California 94111, USA · 2Noumenal Labs Inc, Dallas, Texas 75229, USA · 1Extropic Corporation, San Francisco, California 94111, USA +1
Quantum Topological Data Encoding
Jul 15, 2026Adam Wesołowski, Dimitrios Thanos, Daniel Leykam +1Quantum Machine Learning Quantum Error Correction
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
Implementations of Quantum and Classical Topology-Aligned Architectures for Molecular Property Prediction
Jul 15, 2026James T. Pegg, Hubert Okadome Valencia, Ronin WuQuantum Machine Learning Quantum Chemistry
QunaSys Europe Copenhagen, Denmark · QunaSys Inc. Tokyo, Japan
Towards quantum machine learning for assessing the resilience of post-quantum cryptography
Jul 15, 2026Jarosław A. MiszczakPost-Quantum Cryptography Quantum Machine Learning
Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Baltycka 5, 44-100 Gliwice, Poland
Provable learning separation for predicting time-evolution of quantum many-body systems
Jul 7, 2026Rahul Bandyopadhyay, Riccardo Molteni, Jens Eisert +2Quantum Learning Quantum Machine Learning
⟨aQaL⟩, Applied Quantum Algorithms, Leiden University, The Netherlands · Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Einsteinweg 55, 2333 CC, Leiden, The Netherlands · Dahlem Center for Complex Quantum Systems, Freie Universität Berlin, 14195 Berlin, Germany +2
Hybrid quantum-classical neural network for sentiment analysis
Jul 2, 2026Giacomo Cappiello, Filippo Caruso, Xing Liang +1Quantum Machine Learning Sentiment
Center for Quantum Mathematics, University of Southern Denmark, Campusvej 55, Odense, 5230, Denmark. · Dept. of Physics and Astronomy, Florence Univ., via Sansone 1, I-50019 Sesto Fiorentino, Italy. · School of Computer Science and Mathematics, Kingston University London, KT1 2EE, United Kingdom.
Quantum vs. Classical Machine Learning: A Unified Empirical Comparison
Jul 1, 2026Chuanming Yu, Jiaming Liu, Zihao Ge +4Quantum Machine Learning Empirical Study
Hebei Normal University, Shijiazhuang 050024, China · University of Luxembourg, Kirchberg L-1359, Luxembourg · Kyushu University, Fukuoka 819-0395, Japan
Beyond the Expressivity-Trainability Paradox: A Dynamical Lie Algebra Perspective on Navigating Barren Plateaus in Quantum Machine Learning
Jun 30, 2026Kung-Ming Lan, Edward HuangQuantum Machine Learning Quantum Neural Networks
Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung 40704, Taiwan · Department of Industrial and Systems Engineering, 3306 Shelby Center, Auburn University, Auburn, AL, USA
MALOQ: Massively Accelerated Learning of Operators for Quantum Transport
Jun 27, 2026Manasa Kaniselvan, Alexander Maeder, Denghui Lu +2Quantum Chemistry Quantum Machine Learning
D-ITET, ETH Zurich, Zurich, Switzerland
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 Machine Learning Epitope Prediction
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
Tailor Made Embeddings for Quantum Machine Learning
Jun 24, 2026Aldo Lamarre, Dominik ŠafránekQuantum Machine Learning Qubit
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
Self-Modulating Quantum Fast-Weight Programmers for Efficient Adaptive Sequential Learning
Jun 22, 2026Samuel Yen-Chi Chen, Yifeng Peng, Kuo-Chung Peng +8Quantum Machine Learning Modifications
Wells Fargo · Stevens Institute of Technology · National Taiwan University +3
Quantum-Inspired Contextual Learning for Sparse-Ring Fraud Detection in Dynamic Transaction Graphs
Jun 22, 2026Behnam Tonekaboni, Hiroshi YamauchiFraud Detection Graph Representation Learning
1Infleqtion Australia, Melbourne · 2SoftBank Corp., Japan, Tokyo
No Reference-Free Generalization in Quantum Machine Learning
Jun 21, 2026Jeongho BangQuantum Machine Learning Qubit
Institute for Convergence Research and Education in Advanced Technology, Yonsei University, Seoul 03722, Republic of Korea · Department of Quantum Information, Yonsei University, Incheon 21983, Republic of Korea
Fine-Tuning Large Language Models for Quantum Reasoning
Jun 20, 2026Katherine Ip, Casey R. Myers, Udaya Parampalli +2Large Language Model Quantization Quantum Machine Learning
School of Computing and Information Systems, The University of Melbourne, Melbourne, Australia · School of Physics, Mathematics and Computing, The University of Western Australia, 35 Stirling Hwy, Crawley WA, 6009, Australia · Pawsey Supercomputing Centre, 1 Bryce Avenue, Kensington WA, 6151, Australia +1
Enhancing Quantum Machine Learning with Anyons
Jun 15, 2026Da Zhang, Wen-Qiang Liu, Zhaohui Wei +1Quantum Kernels Quantum Machine Learning
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
Quantum Machine Learning for Industrial Applications
Jun 12, 2026Léo MonbroussouQuantum Machine Learning Variational Quantum Circuits
Sorbonne Université, Ecole Doctorale Informatique, Télécommunications et Electronique (n° 572), Computer Science
Aligning Quantum Operators with Large Language Models
Jun 11, 2026Rogerio Feris, Yunchao Liu, Pengyuan Li +2Quantum Machine Learning Large Language Model Quantization
*MIT-IBM Computing Research Lab · † IBM Quantum
Quantum Statistical Memory Advantage Reveals Predictive Structure in Chaotic Invariant Measures
Jun 11, 2026Maida Wang, Xiao Xue, Minh Chung +1Quantum Computational Advantage Quantum Machine Learning
Centre for Computational Science, University College London, London, UK · Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities, Boltzmannstrasse 1, 85748 Garching, Germany · Centre for Advanced Research Computing, University College London, London, UK
An LLM System for Autonomous Variational Quantum Circuit Design
Jun 11, 2026Kenya Sakka, Wataru Mizukami, Kosuke MitaraiVariational Quantum Circuits Quantum Circuits
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
Quantum Occam Learning: Sample-Supported Expressibility for Circuit-Based Quantum Learning
Jun 10, 2026Jeongho Bang, Kyoungho Cho, Jeongwoo JaeQuantum Learning Quantum Machine Learning
Institute for Convergence Research and Education in Advanced Technology, Yonsei University, Seoul 03722, Republic of Korea · Department of Quantum Information, Yonsei University, Incheon 21983, Republic of Korea · Department of Statistics and Data Science, Yonsei University, Seoul 03722, Republic of Korea +1
Trainability of IQP Quantum Circuit Born Machines Under Gaussian Initialization
Jun 8, 2026Gennaro De Luca, Vinayak Sharma, Aviral ShrivastavaQuantum Machine Learning Quantum Circuits
SCAI, Arizona State University
QUIVER: Quantum-Informed Views for Enhanced Representations in Large ML Models
Jun 1, 2026Aritra Bal, Michael Binder, Markus Klute +2Quantum Machine Learning Variational Quantum Circuits
Institute of Theoretical Physics (ITP), KIT, Karlsruhe, DE · Institute of Experimental Particle Physics (ETP), Karlsruhe Institute of Technology (KIT), Karlsruhe, DE · Blackett Laboratory, Imperial College of Science and Technology, London, UK +1
Improvise, Adapt, Overcome: An On-The-Fly Multifidelity Algorithm for Efficient Machine Learning
Jun 1, 2026Vivin Vinod, Peter ZaspelQuantum Chemistry Multi-Fidelity
School of Mathematics and Natural Sciences, University of Wuppertal, Germany.
Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework
May 31, 2026Syed Farhan Ahmad, Gregory T. ByrdVariational Quantum Circuits Quantum Machine Learning
Department of ECE, North Carolina State University, Raleigh, North Carolina, USA
Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment
May 30, 2026Uiwon Hwang, Jaeho HwangQuantum Machine Learning
Department of Computer Science and Engineering Ewha Womans University · Human-Centered Artificial Intelligence Research Institute Ewha Womans University
Generative Quantum Data Embeddings for Supervised Learning
May 29, 2026Jaewoong Heo, Daniel K. ParkQuantum Machine Learning Generative Models
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
Latent-Conditioned Parameterized Quantum Circuits as Universal Approximators for Distributions over Quantum States
May 27, 2026Quoc Hoan Tran, Koki Chinzei, Yasuhiro Endo +1Quantum Circuits Quantum Machine Learning
Quantum Laboratory, Fujitsu Research, Fujitsu Limited, Kawasaki, Kanagawa 211-8588, Japan
Quantum-Enhanced Adversarial Robustness in Artificial Intelligence
May 27, 2026Jaydip SenQuantum Machine Learning Adversarial Training
Praxis Business School, India
Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study
May 27, 2026Sudip Vhaduri, Ryan Gammon, Sayanton DibboQuantum Machine Learning Quantum Kernels
Department of Computer Science, University of Alabama, AL 35487 · Clemson University
QML-PipeGuard: Drift-Aware Behavioral Fingerprinting for Quantum Machine Learning Pipeline Integrity
May 24, 2026Esra YeniarasQuantum Machine Learning Integrity
Quantum Security and Post-Quantum Cryptography Researcher (previously Assistant Professor in Cyber Security at Copenhagen School of Business (EK))
A Matched Spectral Benchmark of Quantum Inspired Feature Maps
May 23, 2026Toheeb Ogunade, Taofeek Kassim, Etinosa OsaroQuantum Machine Learning Quantum Error Correction
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
Adaptive Measurement Allocation for Learning Kernelized SVMs Under Noisy Observations
May 21, 2026Artur MiroszewskiQuantum Kernels Support Vector Machines
Φ-lab, European Space Agency (ESA/ESRIN), Frascati, Italy
Quantum Machine Learning for Cyber-Physical Anomaly Detection in Unmanned Aerial Vehicles: A Leakage-Free Evaluation with Proxy-Audited Feature Sets
May 19, 2026Carlos A. Durán Paredes, Javier E. León Calderón, Nicolás Sánchez Perea +2Drone Detection Quantum Machine Learning
Corporation for Aerospace Initiatives, Research and Innovation (CASIRI), Popayán, Colombia · Department of Electronics Engineering, Universidad Nacional de Colombia, Manizales, Colombia. · Department of Electronics Engineering, Universidad del Cauca, Popayán, Colombia. +1
Can machine learning for quantum-gas experiments be explainable?
May 18, 2026I. B. Spielman amd J. P. ZwolakQuantum Machine Learning Many-Body Physics
National Institute of Standards and Technology, Gaithersburg, MD 20899, USA · Department of Physics, University of Maryland, College Park, MD 20742, USA · Joint Quantum Institute, University of Maryland, College Park, MD 20742, USA
Winning Lottery Tickets in Neural Networks via a Quantum-Inspired Classical Algorithm
May 13, 2026Natsuto Isogai, Hayata Yamasaki, Sho Sonoda +1Quantum Machine Learning Quantum Annealing
The University of Tokyo · RIKEN AIP
Quantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods
May 12, 2026Roozbeh Razavi-Far, Mohammad Meymani, Erfan Mahmoudinia +6Quantum Machine Learning Adversarial Training
Faculty of Computer Science, University of New Brunswick, Fredericton, Canada. · Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran. · Faculty of Mathematical and Computer Science, Kharazmi University, Tehran, Iran. +4
Quantum Kernels for Audio Deepfake Detection Using Spectrogram Patch Features
May 7, 2026Lisan Al Amin, Rakib Hossain, Mahbubul Islam +2Audio Deepfake Detection Quantum Kernels
Potomac Quantum, USA · United International University, Dhaka, Bangladesh · University of Maryland, College Park, MD, USA +2
Stochastic Schrödinger Diffusion Models for Pure-State Ensemble Generation
May 5, 2026Jian Xu, Wei Chen, Shigui Li +5Quantum Machine Learning Score-Based Diffusion Model
1RIKEN iTHEMS · 2RIKEN AIP · 3South China University of Technology +2
Entanglement is Half the Story: Post-Selection vs. Partial Traces
May 4, 2026Gustav J L Jäger, Krzysztof Bieniasz, Martin B Plenio +1Tensor Networks Quantum Machine Learning
Institut für KI-Sicherheit, Deutsches Zentrum für Luft- und Raumfahrt e.V., Wilhelm-Runge-Straße 10, Ulm, 89081, Germany. · Institut für Theoretische Physik and IQST, Universität Ulm,2026 Albert-Einstein-Allee 11, Ulm, 89081, Germany.
Quantum Interval Bound Propagation for Certified Training of Quantum Neural Networks
May 1, 2026Emma Andrews, Nahyeon Kim, Prabhat MishraQuantum Machine Learning Quantum Neural Networks
University of Florida, Gainesville, FL, USA
Efficient Mutation Testing of Quantum Machine Learning Models
Apr 30, 2026Emma Andrews, Prabhat MishraQuantum Machine Learning Quantum Circuits
University of Florida Gainesville, Florida, USA

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Classical Hardness of Learning Functions of Hamiltonians

Sota Hashimoto, Akinori Kawachi

Graduate School of Engineering, Mie University

Quantum Learning Quantum Machine Learning Np-Hard Hamiltonian Hard Hessian+1

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Morohoshi, Nakayama, Manabe, and Mitarai proposed a physically motivated quantum machine learning problem in which the goal is to predict quantities of the form

\operatorname{Tr}[f(H)ρ]

from classical descriptions of a Hamiltonian

H

and a quantum state

ρ

, where

f

is an unknown function. We call this problem Hamiltonian function learning in this paper. They constructed an efficient quantum learning algorithm under suitable conditions, while leaving a rigorous proof of average-case classical hardness open. In this paper, we rigorously prove the average-case classical hardness for two distribution-specific Hamiltonian function learning problems for

f_{\cos,π}(λ)=\cos(πλ)

and

f_{\exp,β}(λ)=e^{-βλ}

discussed in the paper of Morohoshi et al. under the assumption of the average-case hardness of factoring random RSA moduli. More specifically, we show that an efficient classical randomized learner under squared loss whose output hypotheses are evaluable in classical polynomial time for either problem would yield a classical randomized polynomial-time algorithm for factoring random RSA moduli.

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