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. Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization

    Jul 1, 2026Yuqi Huang, Vincent Y. F. Tan, Sharu Theresa JoseQuantum KernelsQuantum Advantage

  2. Bridging Quantum Computing Paradigms toward Semiconductor Yield: A Controlled CV-versus-DV Comparison on Wafer-Map Defect Classification

    Jul 1, 2026Yeonhong Kim, Jonghyeok Im, Monu Nath Baitha +1Quantum Neural NetworksQuantum Computing

  3. IonSense-QKG: A Quantum-Readiness Metadata Framework for Lithium-Ion Battery Dataset Discovery

    Jul 1, 2026Sakthi Prabhu Gunasekar, Prasanna Kumar RangarajanLithium-Ion BatteriesHybrid Quantum Neural Networks

  4. When AI meets quantum information: A comprehensive review

    Jul 1, 2026Min Chen, Yu Gan, Xin Jin +15Quantum Approximate Optimization AlgorithmTensor Networks

  5. Generative Modeling of Quantum Distribution with Functional Flow Matching

    Jul 1, 2026Jaehoon Hahm, Tak Hur, Joonseok Lee +1Quantum Machine LearningConditional Flow Matching

  6. 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 LearningQuantum Neural Networks

  7. Staged Hybridisation for Visual Quantum Reinforcement Learning via Knowledge Distillation

    Jun 29, 2026Javier Lazaro, Juan-Ignacio Vazquez, Pablo Garcia-BringasVariational Quantum CircuitsKnowledge Distillation

  8. Learning the structure of open quantum systems

    Jun 29, 2026Laura Lewis, Ewin Tang, John WrightN$-Qubit Stabilizer StatesHamiltonian

  9. A Machine-Verified Proof of a Quantum-Optimization Conjecture

    Jun 29, 2026Uri Kol, Maor Ben-Shahar, Kfir Sulimany +1Quantum Approximate Optimization AlgorithmProof

  10. Lie Group Diffusion Models for Hardware-Aware Quantum Circuit Synthesis

    Jun 28, 2026Jyotirmai SinghQuantum Circuit SimulationCircuits

  11. A Coherence Law for Trainability in Noisy Equivariant Quantum Neural Networks

    Jun 28, 2026Hassan Ugail, Newton HowardQuantum Neural NetworksHamiltonian

  12. MALOQ: Massively Accelerated Learning of Operators for Quantum Transport

    Jun 27, 2026Manasa Kaniselvan, Alexander Maeder, Denghui Lu +2Large-Scale Electronic Structure CalculationsQuantum Machine Learning

  13. Active Quantum Kernel Acquisition for Gaussian Process Regression

    Jun 27, 2026Jian Xu, Artur Miroszewski, John Paisley +2Quantum KernelsGaussian Process

  14. 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 LearningHybrid Quantum Neural Networks

  15. Parameter-Efficient Continuous-Variable Photonic Quantum Neural Networks for Edge Quantum AI: Demonstration in Oral Cancer Detection

    Jun 26, 2026Akshay Bhagwan Sonawane, Sophie Choe, Lakshman TamilHybrid Quantum Neural NetworksQuantum Machine Learning

  16. Quantum Dynamic Time Warping for Multivariate Time Series Classification

    Jun 26, 2026Diego Alvarez-Estevez, Alejandro Mayorga-Redondo, Eduardo Mosqueira-ReyHybrid Quantum Neural NetworksQuantum Kernels

  17. Quantum Generative Diffusion Model for Real-World Time Series

    Jun 25, 2026Jack Waller, Filippo Caruso, Dimitrios Makris +2Quantum ComputingSynthetic Data

  18. Efficient foundation decoders for fault-tolerant quantum computing

    Jun 25, 2026Ge Yan, Shanchuan Li, Shiyi Xiao +4Quantum Error CorrectionPost-Quantum Cryptography

  19. Compression-Driven Anomaly Detection in Brain MRI Using an Interpretable Quantum Autoencoder

    Jun 25, 2026Santanu Ganguly, Xing Liang, Dimitrios MakrisBrain Magnetic Resonance ImagingQuantum Machine Learning

  20. Scalable Message-Passing Quantum Graph Neural Networks in the Weisfeiler-Leman Hierarchy

    Jun 25, 2026Snehal Raj, Brian Coyle, Léo Monbroussou +3Variational Quantum CircuitsNeural Network

  21. Tailor Made Embeddings for Quantum Machine Learning

    Jun 24, 2026Aldo Lamarre, Dominik ŠafránekQuantum Machine LearningVariational Autoencoder

  22. Is Variational Monte Carlo Robust? Sharp Moment Thresholds and Heavy-tailed Stochastic Optimization

    Jun 24, 2026Philipp Grohs, Davide NobileVariationalMonte Carlo

  23. Two-dimensional Hyperbolic RNN Neural Quantum State

    Jun 24, 2026H. L. DaoQuantum Neural NetworksTwo-Dimensional Ising Model

  24. Neural Network Quantization by Learning Low-Loss Subspaces

    Jun 23, 2026Vladimir Protsenko, Mikhalina Kharkevich, Alexander Vashchilko +1QuantizationQuantum Neural Networks

  25. Large-Language-Model Discovery of Quantum LDPC Codes through Structured Concept Evolution

    Jun 23, 2026Zidu Liu, Florian MarquardtQuantum Error CorrectionSource-Channel Coding

  26. Quantum CT via Dynamic Interval Encoding and Prior-Balanced QUBO Reconstruction

    Jun 23, 2026Ao Wang, Yikuang Yuluo, Yujie Liu +7TomographyQuantum Approximate Optimization Algorithm

  27. Decoherence as Defence and the Magnitude of Noise Regularisation: A Rigorous N -Qubit Theory of Stochastic Quantum Neural Networks for Adversarially Robust Network Intrusion Detection

    Jun 23, 2026Gautier-Edouard Edouard FilardoQuantum Neural NetworksEntanglement

  28. Adaptive Enhanced Quantum-inspired Simulated Bifurcation Algorithm for Population State Perception

    Jun 23, 2026Dongmei Liu, Jian Li, Xiubo Chen +1Quantum Approximate Optimization AlgorithmOptimal Scheduling

  29. Quantum Convolutional Neural Networks for Groundwater Heat Plume Prediction: A Surrogate Modeling Approach

    Jun 22, 2026Danyal Maheshwari, Julia Pelzer, Miriam SchulteQuantum Neural NetworksSurrogate Models

  30. Stage-dependent integer-binary encoding in factorization-machine black-box optimization

    Jun 22, 2026Ryo Ogawa, Mayumi Nakano, Yuya Seki +1Black-Box OptimizationQuantum Approximate Optimization Algorithm

  31. Self-Modulating Quantum Fast-Weight Programmers for Efficient Adaptive Sequential Learning

    Jun 22, 2026Samuel Yen-Chi Chen, Yifeng Peng, Kuo-Chung Peng +8Quantum Machine LearningModifications

  32. Recursive QLSTM with Dynamic Variational Quantum Circuit Adaptation

    Jun 22, 2026Samuel Yen-Chi Chen, Yifeng Peng, Jiun-Cheng Jiang +8Quantum Machine LearningVariational Quantum Circuits

  33. Quantum-Inspired Contextual Learning for Sparse-Ring Fraud Detection in Dynamic Transaction Graphs

    Jun 22, 2026Behnam Tonekaboni, Hiroshi YamauchiFraud DetectionGraph Representation Learning

  34. Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification

    Jun 21, 2026Milton Mondal, Sushovan Chanda, Mohamad Mahdi Alawieh +6Hybrid Quantum Neural NetworksLogit Lens

  35. QeHDC: Hyperdimensional Computing based on Quantum-enhanced binding and SuperClass Construction

    Jun 21, 2026Yangjie Xu, Hui Huang, Li Ning +1Hybrid Quantum Neural NetworksQuantum Error Correction

  36. No Reference-Free Generalization in Quantum Machine Learning

    Jun 21, 2026Jeongho BangQuantum Machine LearningKernel Hilbert Spaces

  37. Configurable Algorithms for Histopathologic Cancer Detection on Quantum Hardware

    Jun 19, 2026Nandika Goyal, Glen Uehara, Andreas SpaniasComputational PathologyQuantum Computing

  38. QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification

    Jun 19, 2026Azadeh Alavi, Fatemeh Kouchmeshki, Muhammad Usman +1Quantum KernelsStructure-Based Drug Design

  39. Entropy Estimation in Multi-Qutrit Systems via Variational and Classical Neural Networks

    Jun 18, 2026Sai Sakunthala Guddanti, Anil Prabhakar, Ria Rushin JosephQuantum Neural NetworksVariational Quantum Circuits

  40. Quantum ring all-reduce: communication and privacy advantages for distributed learning

    Jun 18, 2026María Gragera Garcés, Lirandë PiraQuantum AdvantageQuantum Machine Learning

  41. Effective Dimension Governs Generalization in Quantum Kernel Vision Models

    Jun 18, 2026Jian Xu, Delu Zeng, John Paisley +1Quantum KernelsEntanglement

  42. QMaxCal: Path-Space Regularization for Open Quantum Control via Girsanov's Theorem

    Jun 18, 2026Merijn Moody, Zier Mensch, Miranda C. N. Cheng +2N$-Qubit Stabilizer StatesKullback-Leibler Divergence

  43. Optimal Ansatz-free Hamiltonian Learning In Situ

    Jun 17, 2026Taiqi Zhou, Weiyuan GongN$-Qubit Stabilizer StatesHamiltonian

  44. Secure Coding Drift in LLM-Assisted Post-Quantum Cryptography Development: A Gamified Fix

    Jun 17, 2026R. D. N. Shakya, C. P. Wijesiriwardana, S. M. Vidanagamachchi +1Post-Quantum CryptographyCode Generation

  45. LLM-Guided Test-Time Discovery of Quantum-Chemical Approximation Algorithms

    Jun 17, 2026Masaya Hagai, Yuta Suzuki, Tomoya Murata +2Computational ChemistryQuantum Approximate Optimization Algorithm

  46. A Hybrid Quantum-Classical Approach for Melt Pool Prediction in Laser Powder Bed Fusion

    Jun 17, 2026Matthew M. Sato, Kincho H. LawHybrid Quantum Neural NetworksAdditive Manufacturing

  47. Dimensionality Reduction of QAOA Parameter Space with Kernel PCA for Max-Cut

    Jun 17, 2026Sidharth Brahmandam, Vayd RamkumarQuantum Approximate Optimization AlgorithmVariational Quantum Circuits

  48. What Your Model Threw Away and Why You'll Want It Back: Masking, Fingerprinting, and Privacy from Discarded Geometry

    Jun 17, 2026Zachary P. BradshawFingerprintEquivariant Neural Networks

  49. On the Reliability of Networks of AI Agents: Density Evolution, Stopping Sets, and Architecture Optimization

    Jun 16, 2026Ehsan Aghazadeh, Hossein Pishro-NikArtificial Intelligence AgentsVerifier

  50. Energy-efficient codon optimization on thermodynamic hardware

    Jun 15, 2026Andraz Jelincic, Ross C. WalkerThermodynamicsEnergy-Efficient

  51. On the Entropy Formula for Real, Complex, and Quaternionic Deep Linear Networks

    Jun 15, 2026Luis Contreras, Marco Nahas, Tejas KotwalDeep NetworkQuaternion

  52. Enhancing Quantum Machine Learning with Anyons

    Jun 15, 2026Da Zhang, Wen-Qiang Liu, Zhaohui Wei +1Quantum KernelsQuantum Machine Learning

  53. Learning ground state observables from quantum computing experiments

    Jun 14, 2026Ben Jaderberg, Freya Shah, Minjun Jeon +3Many-Body PhysicsTwo-Dimensional Ising Model

  54. Quantum Cinema: An Interactive Cinematic Exploration of Quantum Computing Hardware via Generative World Models

    Jun 14, 2026Aoyu Zhang, Dongping Liu, Luyao ZhangQuantum ComputingFilms

  55. Quantum-classical hybrid models based on error correction for time series forecasting

    Jun 13, 2026Jonathan H. A. de Carvalho, Filipe C. de L. Duarte, Fernando M. de Paula Neto +1Hybrid Quantum Neural NetworksLoad Forecasting

  56. Securing the Future of IoMT in the Post-Quantum Era: An Edge-Native Federated Learning Approach

    Jun 12, 2026Taym Alshoghri, Deemah H. Tashman, Mohammad Reza Gerami +1Post-Quantum CryptographyFederated Learning

  57. From Meta Idea to Advanced Mathematical Discovery -- Human-AI Co-Discovery of Sign-Embedding Quantum Algorithms

    Jun 12, 2026Yanqiao Wang, Jin-Peng Liu, Peng Li +1Quantum AdvantageHuman-Ai Collaboration

  58. Quantum Machine Learning for Industrial Applications

    Jun 12, 2026Léo MonbroussouQuantum Machine LearningVariational Quantum Circuits

  59. Optimality-Preserving Decomposition for Scalable QAOA in Natural-Language-Guided Multi-Drone Assignment

    Jun 12, 2026Junyeop Bang, Byongho Lee, Dohyun An +1Quantum Approximate Optimization AlgorithmMulti-Drone Coordination

  60. Hybrid Classical-Quantum (HCQ) Alzheimer's Classification via Supervised ββ-VAE and Quantum Kernels

    Jun 12, 2026Tia Tiwari, Vamshi Krishna Kancharla, Neelam SinhaHybrid Quantum Neural NetworksQuantum Kernels