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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  1. Comparative Study of Quantum and Classical Machine Learning Models in Binary Classification

    Sep 20, 2026Anand Kumar Mishra, Ramanuj AwasthiQuantum Machine Learning

  2. TetrisCNN for interpretable detection of phases of matter from experimental quantum simulator data

    Sep 17, 2026Kacper Cybiński, Björn van Zwol, James Enouen +5Quantum Neural NetworksPhase Transitions

  3. Recursive Quantum Long Short-Term Memory for Stable Short-Horizon Temperature Forecasting

    Sep 17, 2026Mu-En Lee, Yen-Ku Liu, Samuel Yen-Chi Chen +1Hybrid Quantum Neural NetworksBidirectional Long Short-Term Memory

  4. Noise-Robust Quantum State Characterization for Remote State Preparation with Deep Learning

    Sep 17, 2026Bo Tang, Zixuan Liao, Hao Li +9N$-Qubit Stabilizer StatesPost-Quantum Cryptography

  5. State-Space-Based FIR Filtering on a Quantum Computer

    Sep 17, 2026Roope Salmi, Davide Rocchesso, Vesa VälimäkiQuantum ComputingQuantum Circuit Simulation

  6. Quantum Graph Convolutional Networks: Implementation and Trainability Analysis

    Sep 17, 2026Paul San Sebastian Sein, Theodor Iosif, Tilen G. Limbäck-Stokin +2Graph Neural NetworksQuantum Computing

  7. Securing quantum error correction against misleading advice from AI agents

    Sep 16, 2026A. Barış ÖzgülerQuantum Error CorrectionError Correction

  8. Learning to Program Adaptive Non-Local Observables for Machine Learning

    Sep 16, 2026Yu-Ting Lee, Samuel Yen-Chi Chen, Huan-Hsin TsengQuantum Neural NetworksVariational Quantum Circuits

  9. APGEM: Adaptive Policy-Guided Error Mitigation for Quantum Reinforcement Learning on a Real-World CVRP Case Study

    Sep 16, 2026Shabir Ahmad Sofi, Bisma Majid, Mir Mohammad YousufVariational Quantum CircuitsQ-Learning

  10. Fourier Analysis of Parametrized Interactive Quantum Classifiers

    Sep 16, 2026Fábio Novaes, Fernando M. de Paula Neto, João V. M. CardosoQuantum Machine LearningHamiltonian

  11. QEMScore: How Much Does the Measurement Add to Learned Quantum Error Mitigation?

    Sep 15, 2026Yue Zhao, Huayue Gu, Yushun Dong +1Quantum Error CorrectionEqual Error Rate

  12. QiT: Quantum-Inspired Transformer for Visual Recognition Task

    Sep 15, 2026Badri N. Patro, Vijay AgneeswaranSelf-Supervised Vision TransformersQuantum Machine Learning

  13. Hybrid Variational Quantum Circuits for Multivariate Regression and High-Dimensional Data Reconstruction

    Sep 15, 2026Koffi Ognandon Ayena, Frédéric Holweck, Serge Iovleff +1Variational Quantum CircuitsHybrid Quantum Neural Networks

  14. Structure-Preserving Quantum Circuit Architectures for Robot Kinematics

    Sep 14, 2026Andrea Morghen, Pierluigi Arpenti, Roberto Schiattarella +2QubitQuantum Error Correction

  15. Reinforcement Learning for Syndrome Extraction

    Sep 14, 2026John Zhuoyang Ye, Aarav Pabla, Jens PalsbergQuantum Error CorrectionError Correction

  16. QTrans: A Quantum Transformer for Sentiment Classification

    Sep 14, 2026Ren-Xin Zhao, Xinjie Huang, Yahong Liu +4Hybrid Quantum Neural NetworksSentiment Analysis

  17. Generative Replay Mitigates Sample Starvation in Quantum Architecture Search

    Sep 12, 2026Akash Kundu, Amit Kumar Jaiswal, Sebastian Feld +1Quantum Circuit SimulationDeep Q-Networks

  18. Learning structural balance of graphs from quantum spectral features

    Sep 11, 2026Stefano Scali, Oleksandr KyriienkoN$-Qubit Stabilizer StatesHamiltonian

  19. Coherent Floquet quantum reservoirs for molecular property prediction

    Sep 10, 2026Luofei Wang, Da Zhang, Congren Wang +5Reservoir ComputingHybrid Quantum Neural Networks

  20. A Quantum-Inspired Dequantization Method for Diagonally Weighted Matrix Functions: Application to Learning with Optimized Random Features

    Sep 9, 2026Natsuto Isogai, Mio Murao, Hayata YamasakiQuantum AdvantageSingular Value Decomposition

  21. Optimal Low-Rank Quantum State Tomography with Bounded-Sample Joint Measurements

    Sep 9, 2026Ashwin Nayak, Xingyu ZhouN$-Qubit Stabilizer StatesOptimal Sample Complexity

  22. The Sample Complexity of Quantum Entanglement Allocation

    Sep 9, 2026Nathan RollQubitEntanglement

  23. 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 Neural NetworksQuantum Machine Learning

  24. AXON: A ROS 2 RMW with Shared-Memory/QUIC Transport and QKD/ML-KEM Key Establishment

    Sep 9, 2026Sergio Sánchez de la Fuente, Miguel Ángel González-Santamarta, Francisco Javier Rodríguez-Lera +2Robot Operating SystemPost-Quantum Cryptography

  25. Fidelity-Aware Scheduling of Quantum Circuits on Multi-QPU Systems

    Sep 9, 2026Innocenzo Fulginiti, Antonio Tudisco, Salvatore Zammuto +7Quantum ComputingHigh-Performance Computing

  26. A Block Tensor Train Burer-Monteiro Framework for Low-Rank Quantum State Tomography

    Sep 8, 2026Shakir Showkat Sofi, Charlotte Vermeylen, Fatemeh Mohammadi +1N$-Qubit Stabilizer StatesTensor Networks

  27. A Note on Scaling in Randomly Rotated Quantization and Its Connection to the CDEF +1 Pythagorean Relation

    Sep 8, 2026Uri ErezQuantum Error CorrectionQuantizer

  28. Graph neural networks and the energetic cavity method for combinatorial optimization

    Sep 7, 2026Joe Bacchus George, George T. CantwellGraph Neural NetworksTwo-Dimensional Ising Model

  29. Characterizing Privacy Risks of Quantum Machine Learning with Emergent Quantum-Native Access

    Sep 4, 2026Liou Tang, James Joshi, Ashish KunduQuantum Machine LearningAI Privacy Risks and Protection

  30. GNN-Guided Graph Coarsening and Adaptive QUBO Penalties for the Capacitated Vehicle Routing Problem with Time Windows on a Quantum Annealer

    Sep 4, 2026Youssef Kamel Rezk, Paweł GoraVehicle Routing ProblemQuantum Approximate Optimization Algorithm

  31. Latent unified smooth Hamiltonians for excited state chemistry

    Sep 1, 2026David Juergens, Martin Stöhr, Andreas E. Hillers-Bendtsen +2Computational ChemistryMolecular Dynamics

  32. Quantum Sparse Autoencoders for Q-Matrix Estimation in Cognitive Diagnosis

    Sep 1, 2026Arif Hassan Zidan, Yi Pan, Bowen Guo +5Quantum Machine LearningCognitive Diagnosis

  33. A hybrid quantum-classical neural network for learning to route

    Aug 31, 2026Marcus Rolf Peter Ritt, Alexsandro Santos da Rosa Júnior, Marcos Vinicius Reballo +2Hybrid Quantum Neural NetworksQuantum Advantage

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

    Aug 31, 2026Ana Paula AppelQuantum KernelsQuantum Computing

  35. Towards unsupervised representation learning for quantum data: quantum models with inference and generation

    Aug 31, 2026Robin Lorenz, Eric Brunner, Marcello BenedettiQuantum Machine Learning

  36. "Train classical, deploy quantum" requires rethinking generalization

    Aug 31, 2026Snehal Raj, Natansh Mathur, Alejandro Perdomo-OrtizQuantum Machine LearningGenerative Models

  37. Exponential quantum advantage for learning signals with a single qubit

    Aug 13, 2026Ishaan Kannan, Sridhar Prabhu, Saeed A. Khan +7Quantum AdvantageQubit

  38. AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization

    Aug 13, 2026Harshkumar Oza, Aritra Sarkar, Syed Naqi Abbas +4Quantum Circuit SimulationPost-Quantum Cryptography

  39. CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation

    Aug 12, 2026Xue Yang, Rigui Zhou, ShiZheng Jia +7Variational Quantum CircuitsLarge-Scale Image Generation

  40. A 12-CNOT Double Qubit Excitation Gate

    Aug 12, 2026Irfansha ShaikQubitQuantum Circuit Simulation

  41. A Quantum/Classical Example Oracle Separation for Making Things Up

    Aug 12, 2026Kenny ChenQuantum Machine LearningN$-Qubit Stabilizer States

  42. A Quantum Roadmap for Softmax Attention: Exact Born-Rule Analogs for Softmax Attention on the Probability Simplex

    Aug 11, 2026Eric A. F. Reinhardt, Adam J. HauserSoftmax AttentionQubit

  43. Quantum Coordination Advantages in AI State-Tracking Tasks: Semantic Compilation and Latent Memory

    Aug 11, 2026Ming YangQuantum AdvantageBoundaries

  44. Quantum Incremental Learning with Mixed State Prototypes

    Aug 11, 2026Yu Wu, Qianli Zhou, Xinyang Deng +3Quantum Machine LearningQuantum Neural Networks

  45. Multi-agent discovery of practical quantum LDPC codes

    Aug 10, 2026Dongheng Qian, Tianyi LiQuantum Error CorrectionSource-Channel Coding

  46. Approximation Rates for Metaplectic Neural Networks

    Aug 9, 2026Ahmed Abdeljawad, Marcello Carioni, Elena CorderoNeural-Network ApproximationQuantum Neural Networks

  47. Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations

    Aug 9, 2026Xiang Rao, Yuxuan ShenHybrid Quantum Neural NetworksKolmogorov-Arnold Networks

  48. A QUBO-Inspired Computational Framework for Airport Landside Bottleneck Diagnosis and Dynamic Dispatch Optimization

    Aug 9, 2026Wuming Lei, Xiaobin Li, Mingyan Sun +3Air Traffic ControlPatient-To-Room Assignment Problem

  49. Classical \mathrm{SU}(2) Models Match or Exceed Shallow Variational Quantum Circuits on Vision Benchmarks

    Aug 7, 2026Christopher Fulton, Irene Tsapara, Lawrence FultonVariational Quantum CircuitsQuaternion

  50. QuantumMind: Constraint-Grounded Agentic Reasoning for Speedup Analysis in Quantum Computing

    Aug 7, 2026Yijing Zuo, Zhe Fu, Zihan Nie +2Quantum ComputingEnd-To-End Speedup

  51. Readout-Rank Laws for Isotropic Quantum Tangents

    Aug 7, 2026Marwan Ait HaddouQuantum Circuit SimulationReadout

  52. Investigating Quantum-Embedded Transformers on Classical Datasets for Cross-Modality Classification

    Aug 7, 2026Hao-Yuan ChenHybrid Quantum Neural NetworksMultimodal Classification

  53. Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation

    Aug 6, 2026Alfred M. Pastor, Maribel Castillo, Jose M. BadiaQuantum Circuit SimulationTensor Networks

  54. Provably Efficient Self-Calibrating Quantum Fault Tolerance

    Aug 6, 2026Weiyuan Gong, Hong-Ye HuQuantum Error CorrectionPost-Quantum Cryptography

  55. RASP-QAOA: Resource-Aware Per-Instance Selection for Exact QAOA Simulation

    Aug 6, 2026Chih-Chung HsuQuantum Approximate Optimization AlgorithmPenalties

  56. LC-Implicit-QAOA: Active-Workspace-Capped Exact Objective-and-Gradient Evaluation for Training over Bounded QUBO Light Cones

    Aug 6, 2026Chih-Chung HsuQuantum Approximate Optimization AlgorithmBilevel Optimization

  57. 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 LearningQuantization

  58. Quantum-Structured World Models (QSWMs) for Predictive Latent Dynamics

    Aug 5, 2026Hailong Jiang, Emran Hossain, Feng Yu +3Latent World ModelsIntermediate Latent States

  59. Representational separation between unitary and channel quantum generative models via shared classical randomness at shallow depth

    Aug 5, 2026Arunava Majumder, Marius Krumm, Hendrik Poulsen Nautrup +1Quantum Circuit SimulationRandom

  60. One Qubit Can Beat One Bit: Quantum Advantage for Post-Training Quantization

    Aug 5, 2026Yuma Ichikawa, Moeto MishimaQuantum AdvantageQubit