Quantum Machine Learning

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Period ending 2026-09-21

15 new papers

A weekly snapshot of new work published in Quantum Machine Learning.

Period ending 2026-09-14

8 new papers

A weekly snapshot of new work published in Quantum Machine Learning.

Period ending 2026-09-07

8 new papers

A weekly snapshot of new work published in Quantum Machine Learning.

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456 papers

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  1. A Quantum-Assisted Agentic Distributed Artificial Intelligence Framework for Deadline-Bounded Orchestration of Hybrid Renewable Microgrids

    Jun 12, 2026Iacovos I. Ioannou, Saher Javaid, Minella Bezha +3Smart GridsDemand Response

  2. Hybrid Classical-Quantum Variational Autoencoder for Neural Topic Modeling

    Jun 11, 2026Ivan KankeuHybrid Quantum Neural NetworksQuantum Computing

  3. Aligning Quantum Operators with Large Language Models

    Jun 11, 2026Rogerio Feris, Yunchao Liu, Pengyuan Li +2Quantum Machine LearningQubit

  4. Foundations of Practical Quantum Advantage in Quantum-Informed Machine Learning for Predicting Chaos

    Jun 11, 2026Maida Wang, Xiao Xue, Minh Chung +1Quantum Machine LearningQuantum Advantage

  5. An LLM System for Autonomous Variational Quantum Circuit Design

    Jun 11, 2026Kenya Sakka, Wataru Mizukami, Kosuke MitaraiVariational Quantum CircuitsQuantum Circuit Simulation

  6. Graph Reinforcement Learning for Calibration-Aware Quantum Circuit Routing

    Jun 11, 2026Yash Vardhan Tomar, Dheeraj PeddireddyQuantum Circuit SimulationQuantization

  7. Comprehensive pKa Data Augmentation from Limited Real Data through an Engineered Models-Quantum Framework

    Jun 10, 2026Wang Rui, Liu DinghaoMolecular GenerationDrug-Drug Interactions

  8. Quantum Occam Learning: Sample-Supported Expressibility for Circuit-Based Quantum Learning

    Jun 10, 2026Jeongho Bang, Kyoungho Cho, Jeongwoo JaeQuantum Machine LearningOptimal Sample Complexity

  9. Sparsified Kolmogorov-Arnold Networks for Interpretable Quantum State Tomography

    Jun 10, 2026Xinge Wu, Huaxin Wang, Jiajun Liu +4N$-Qubit Stabilizer StatesKolmogorov-Arnold Networks

  10. Higher-Order Token Interactions via Quantum Attention

    Jun 10, 2026Jian Xu, Chao Li, Delu Zeng +2QubitToken Communications

  11. Family-Aware Residual Architecture for Predicting Quantum Circuit Simulation Performance

    Jun 10, 2026Honjar Xing, Yehong Jiang, Xianbang Wang +2Quantum Circuit SimulationTensor Networks

  12. Analog Quantum Asynchronous Event-Based Graph Neural Network

    Jun 9, 2026Kristian Sotirov, Shaheen Acheche, Antonio A. Gentile +1Quantum ComputingHybrid Quantum Neural Networks

  13. Post-Quantum Secure Federated DeFi for Inclusive Banking

    Jun 9, 2026Swati Sachan, Dale Fickett, Richard Buchinger +1Post-Quantum CryptographyHomomorphic Encryption

  14. Trainability of IQP Quantum Circuit Born Machines Under Gaussian Initialization

    Jun 8, 2026Gennaro De LucaQuantum Machine LearningQuantum Circuit Simulation

  15. Adaptive directional gradients for parameterised quantum circuits

    Jun 8, 2026Brian Coyle, Snehal Raj, Virag Umathe +2Quantum Approximate Optimization AlgorithmGradient Concentration

  16. JGRA: Jacobian Geometry Robustness Assessment in NISQ Noise-Aware Quantum Neural Networks

    Jun 8, 2026Gianluca Scanu, Luca Barletta, Stefano RiniQuantum Neural NetworksJacobian

  17. Edge-Constrained UAV Small-Object Detection with P2 Enhancement and Quantum-Inspired Lightweight Structure Search

    Jun 8, 2026Wuming Lei, Yanbin Gao, Mingyan Sun +2Yolov8-Nano ModelUnmanned Aerial Vehicle Detection

  18. Discovering and decoding latent mean-field structure with variational autoencoders

    Jun 7, 2026Marco Biroli, Max Welling, Vincenzo VitelliVariational AutoencoderMean-Field Limit

  19. Quantum Global Variational Learning for Quantum Error Correction

    Jun 7, 2026Shun Ryuzaki, Hideo MukaiQuantum Error CorrectionQuantum Neural Networks

  20. Repair Before Veto, When Repair Is Hidden: Quantum-Accessible Features for Repair-Augmented Constraint Learning

    Jun 6, 2026Yifan WangQuantum Machine LearningQuantum Error Correction

  21. Quantum-Enhanced Similarity Measures for Polarimetric Materials Classification

    Jun 5, 2026Sara Shojaei, Seyed Mohamad Ali Tousi, Emma Bennett +6Hybrid Quantum Neural NetworksPolarization

  22. Benchmarking Quantum Algorithmic Resilience for CVaR Portfolio Optimization: The Expressibility-Coherence Trade-off

    Jun 5, 2026Prashik N. Somkuwar, K. Srinivasan, G. RaghavanVariational Quantum CircuitsQuantum Approximate Optimization Algorithm

  23. Blockchain Infrastructure for Intelligent Cyber--Physical--Social Systems:Post-Quantum Security, Interoperability, and Trustworthy Data Economies in the Era of Embodied AI

    Jun 5, 2026Song Guo, Huawei Huang, Dongping Liu +2BlockchainPost-Quantum Cryptography

  24. Quantum enhanced rare event discovery and sampling

    Jun 4, 2026Naixu Guo, Po-Wei Huang, Qisheng Wang +4Quantum AdvantageRare Events

  25. Deployed trusted-node quantum key distribution over 300 km with a multi-core fiber access link

    Jun 4, 2026Martin Clason, Joakim Argillander, Didrik Bergström +8Post-Quantum CryptographyDiffie-Hellman

  26. Coordinated optimization of departure sequencing and section-track allocation in railway short-term concentrated departure scenarios based on qubo and hybrid quantum algorithms

    Jun 4, 2026Xiaobin Li, Yanbin Gao, Weiguang Wang +1Quantum Approximate Optimization AlgorithmLlm-Based Optimization Modeling

  27. Hardware-aware Low-latency Quantum Compilation with Data-driven Lightweight Error Detection for Early Fault-Tolerant Systems

    Jun 4, 2026Sumit ChongderQuantum Error CorrectionField-Programmable Gate Arrays

  28. QDS-SNN: Energy-efficient Quantum Deeply-Supervised Spiking Neural Network Algorithm for Traffic Sign Recognition

    Jun 3, 2026Zhiguo Qu, Keqi Li, Le Sun +4Quantum Neural NetworksSpiking Neural Networks

  29. QPredSGG: Hybrid Quantum Predicate Learning for Long-Tailed Scene Graph Generation

    Jun 3, 2026Prerana Ramkumar, Nouhaila Innan, Muhammad ShafiqueHierarchical 3D Scene GraphsHybrid Quantum Neural Networks

  30. Forecasting Conceptual Diffusion in Science: The Case of Quantum Computing

    Jun 2, 2026Thomas Maillart, Thibaut Chataing, David Dosu +3Real Datacite DoisScientific Discovery

  31. Scalable On-Hardware Training of Quantum Neural Networks and Application to Clinical Data Imputation

    Jun 2, 2026Natansh Mathur, Panagiotis Kl. Barkoutsos, Masako Yamada +2Quantum Neural NetworksQuantum Computing

  32. QUIVER: Quantum-Informed Views for Enhanced Representations in Large ML Models

    Jun 1, 2026Aritra Bal, Michael Binder, Markus Klute +2Quantum Machine LearningVariational Quantum Circuits

  33. Evolutionary Discovery of Bivariate Bicycle Codes with LLM-Guided Search

    Jun 1, 2026Juan Cruz-Benito, Andrew W. Cross, David Kremer +1Quantum Error CorrectionCodebooks

  34. Improvise, Adapt, Overcome: An On-The-Fly Multifidelity Algorithm for Efficient Machine Learning

    Jun 1, 2026Vivin Vinod, Peter ZaspelComputational ChemistryQuantum Machine Learning

  35. Coherent Swap Regret and Channel-Proof Learning

    Jun 1, 2026Sohail SarkarPost-Quantum CryptographyO(T^Β)$ Simultaneous Regret

  36. Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework

    May 31, 2026Syed Farhan Ahmad, Gregory T. ByrdVariational Quantum CircuitsQuantum Machine Learning

  37. Accelerating physics-informed neural networks for full waveform inversion using a hybrid quantum-classical finite-basis architecture

    May 31, 2026Hoang Anh Nguyen, Divakar Vashisth, Ali TuraConventional Physics-Informed Neural NetworksHybrid Quantum Neural Networks

  38. Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment

    May 30, 2026Uiwon Hwang, Jaeho HwangQuantum Machine LearningMachine Learning

  39. Spectral Anatomy of Quantum Gaussian Process Kernels

    May 29, 2026Jian Xu, Chao Li, Guang Lin +4Quantum KernelsGaussian Process

  40. Generative Quantum Data Embeddings for Supervised Learning

    May 29, 2026Jaewoong Heo, Daniel K. ParkQuantum Machine LearningEmbedding Dimension

  41. The Complexity of Verifying Feedforward Neural Networks in Quantised Settings

    May 28, 2026Eric Alsmann, Martin Lange, Marco SälzerNeural Network VerificationQuantum Neural Networks

  42. Domain-Informed Representation for Evolutionary Sieving in Integral and Module Lattices

    May 27, 2026Ahmad Tashfeen, Qi ChengDiffie-HellmanPost-Quantum Cryptography

  43. Latent-Conditioned Parameterized Quantum Circuits as Universal Approximators for Distributions over Quantum States

    May 27, 2026Quoc Hoan Tran, Koki Chinzei, Yasuhiro Endo +1Quantum Machine LearningHybrid Quantum Neural Networks

  44. Quantum-Enhanced Adversarial Robustness in Artificial Intelligence

    May 27, 2026Jaydip SenQuantum Machine LearningQuantum Computing

  45. Learning Logical Operations for Arbitrary Quantum Error Correction Codes

    May 27, 2026Nico Meyer, Christopher Mutschler, Dominik Seuß +2Quantum Error CorrectionPost-Quantum Cryptography

  46. Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study

    May 27, 2026Sudip Vhaduri, Ryan Gammon, Sayanton DibboQuantum Machine LearningQuantum Kernels

  47. QSignAI: Quantum-Randomness-Seeded Identity Signatures at the Intersection of AI for Science and Science for AI

    May 26, 2026Dongping Liu, Aoyu Zhang, Luyao ZhangQuantum Machine LearningHuman-Ai Interaction

  48. On the Equivariant Learning of the QQ-tensor Order Parameter

    May 26, 2026Julia Navarro, Mark WilkinsonEquivariant Neural NetworksQuantum Neural Networks

  49. 2-ASP(Q) programs with weak constraints: Complexity and efficient implementation

    May 26, 2026Andrea Cuteri, Giuseppe Mazzotta, Francesco RiccaAnswer Set ProgrammingStructural Constraints

  50. Qiskit QuantumKatas: Adapting Microsoft's Quantum Computing exercises for LLM evaluation

    May 26, 2026Juan Cruz-Benito, Ismael FaroQuantum Circuit SimulationQuantum Computing

  51. Adaptive Reinforcement Learning for Robust Open Quantum System Control: A Multi-Task Framework with Temporal Optimization

    May 26, 2026Haftu W. Fentaw, Steve Campbell, Simon CatonN$-Qubit Stabilizer StatesHamiltonian

  52. Neural Autoregressive Control Variates for the Quantum Monte Carlo Sign Problem

    May 26, 2026Bei Qiao, Lei WangHamiltonian Monte CarloVariational Quantum Circuits

  53. PennySynth: RAG-Driven Data Synthesis for Automated Quantum Code Generation

    May 25, 2026Minghao Shao, Nouhaila Innan, Hariharan Janardhanan +3Mock-Interface SynthesisQuantum Error Correction

  54. QML-PipeGuard: Drift-Aware Behavioral Fingerprinting for Quantum Machine Learning Pipeline Integrity

    May 24, 2026Esra YeniarasQuantum Machine LearningFingerprint

  55. Implicit Binarization via Complex Phase Dynamics in Combinatorial Optimization

    May 23, 2026Khen Cohen, Mark Glass, Meir Feder +1Quantum Approximate Optimization AlgorithmSemidefinite Programming

  56. Fermi-Dirac machines as quantizations of neurons

    May 23, 2026Alexander He, Nana Liu, Mark M. WildeQuantum ComputingHamiltonian

  57. A Matched Spectral Benchmark of Quantum Inspired Feature Maps

    May 23, 2026Toheeb Ogunade, Taofeek Kassim, Etinosa OsaroQuantum Machine LearningIntrinsic Dimensionality

  58. Hybrid Quantum-Classical Corrective Diffusion Modeling for Meteorological Downscaling

    May 22, 2026Rui Wang, Edoardo Pasetto, Amer Delilbasic +3Dynamical DownscalingHybrid Quantum Neural Networks

  59. Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks

    May 22, 2026Guilherme Cruz, Nouhaila Innan, Alberto Marchisio +2Hybrid Quantum Neural NetworksQuantum Computing

  60. Accelerating ground state search of spatial photonic Ising machines with genetic-simulated annealing hybrid algorithm

    May 22, 2026Ze Zheng, Ruhui Ni, Jingyi Zhao +6Quantum Approximate Optimization AlgorithmMetaheuristics