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. 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

  2. Provably Efficient Self-Calibrating Quantum Fault Tolerance

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

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

    Aug 6, 2026Chih-Chung HsuQuantum Approximate Optimization AlgorithmPenalties

  4. 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

  5. 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

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

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

  7. 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

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

    Aug 5, 2026Yuma Ichikawa, Moeto MishimaQuantum AdvantageQubit

  9. Image Classification Using CNN-QNN Hybrid Model with Optimized Correlated Features

    Aug 5, 2026Minseo Seong, Youngwook KimQuantum Neural NetworksImage Classification

  10. Dynamical Lie Algebras Cannot Describe Shallow QAOA: Cragged Terrains, Barren Plateaus, and Empirical Hardness Models

    Aug 4, 2026Harrison Copp, Charlton Li, Anžej Margeta-Cacace +1Variational Quantum CircuitsQuantum Approximate Optimization Algorithm

  11. Separating quantum circuits from classical LLMs

    Aug 4, 2026Srinivasan Arunachalam, Arkopal Dutt, Hari Krovi +1Quantum Circuit SimulationLarge Language Model Quantization

  12. Beyond the Gegenbauer Paradigm: q-Orthogonal Kernels for Machine Learning

    Aug 4, 2026Álvaro Sánchez-Paniagua Ríos, Juan P. Llerena, Alberto Lastra +2Quantum KernelsKernel Method

  13. Unifying quantum measurement constructions via a relative-entropy minimum change principle

    Aug 4, 2026Nana Liu, Mark M. WildeN$-Qubit Stabilizer StatesFlat Minima

  14. Beyond the QBER Threshold: A Temporal QBER Based Machine Learning Framework for Multi Attack Detection in BB84 QKD

    Aug 4, 2026Isha, Deepak Singh, Devesh Kumar +3Post-Quantum CryptographyQuantum Error Correction

  15. Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model

    Aug 3, 2026Joao F. DoriguelloQ-LearningQuantum Advantage

  16. Constrained Co-Design for Photonic Bayesian Neural Networks

    Aug 3, 2026Hendrik Borras, Xiao Wang, Bernhard Klein +4Bayesian Neural NetworksConventional Physics-Informed Neural Networks

  17. Adaptive Reconstruction of Bosonic Quantum States

    Aug 3, 2026Vasilisa Usova, Phila Rembold, Ian Yang +4N$-Qubit Stabilizer States

  18. Statistical Mechanics of Learning on Product Wasserstein Manifolds

    Aug 2, 2026Srinivasa Rao P Vangmayi P ReddyWasserstein DistanceDistributional Learning

  19. Hybrid Quantum Neural Networks: Theory, Implementations, and Applications

    Aug 2, 2026Léo Monbroussou, Maniraman Periyasamy, Viacheslav Kuzmin +4Quantum Neural NetworksHybrid Quantum Neural Networks

  20. 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 +1Conventional Physics-Informed Neural NetworksHybrid Quantum Neural Networks

  21. DreamQAS: Learning a Decision-Useful World Model for VQE-Efficient Quantum Architecture Search

    Jul 31, 2026Jiayang Niu, Yan Wang, Jie Li +4Variational Quantum CircuitsComputational Chemistry

  22. Transpiler Autotuning with Predictive Models for Quantum Circuit Optimization

    Jul 31, 2026Piotr Malkowski, Domenik Eichhorn, Joshua Ammermann +4Quantum Circuit SimulationCircuits

  23. InferQ: A Database-Oriented Benchmark for Quantum Circuits Simulation

    Jul 31, 2026Andrei Ilinescu, Aadi Patwardhan, Rihan HaiQuantum Circuit SimulationCircuits

  24. Oracle-Budgeted Molecular Optimization with Short-Term Graph Memory

    Jul 30, 2026Jiannan Yang, Veronika Thost, Xiang Ling +1Molecular OptimizationHierarchical Graph Memory

  25. QAdapt: A Noise-Adaptive Neural Pre-Decoding Framework for Quantum Error Correction

    Jul 30, 2026Ran Miao, Rui Luo, Xiaohan Shan +1Quantum Error CorrectionPost-Quantum Cryptography

  26. Complementary Matrix-Gated QKAN Fast-Weight Programmers for Quantum Dynamics Forecasting

    Jul 30, 2026Kuo-Chung Peng, Samuel Yen-Chi Chen, Jiun-Cheng Jiang +14Quantum Machine LearningKolmogorov-Arnold Networks

  27. Volcanic Clouds Detection through QCNN and Geostationary Satellite Multispectral Imagery

    Jul 29, 2026Federica Torrisi, Claudia Corradino, Alessandro Grilli +5Satellite ImageryOrogenic Au

  28. Hybrid Quantum CNN for Cross-Sensor Spaceborne Volcanic Thermal Activity Recognition Worldwide

    Jul 29, 2026Claudia Corradino, Federica Torrisi, Alessandro Grilli +5Hybrid Quantum Neural NetworksOrogenic Au

  29. LLM-Guided Initialization for Accelerated Hybrid Quantum-Classical Medical Image Classification

    Jul 29, 2026Riza Alaudin Syah, Irwan Alnarus Kautsar, Haza Nuzly Bin Abdull HamedQuantum Neural NetworksMedical Image Classification

  30. OmniQEC: discovering practical quantum error-correcting codes by an AI scientist

    Jul 28, 2026Ge Yan, Shanchuan Li, Pengyue Ma +5Quantum Error CorrectionPost-Quantum Cryptography

  31. Lowering the implementation barrier of neutral-atom quantum computing with agentic workflows

    Jul 28, 2026Constantin Dalyac, Alexandre Dauphin, Loïc Henriet +1Quantum ComputingAgentic Workflows

  32. KQFuzz: Knowledge-Guided Fuzzing for Quantum Libraries via Large Language Models

    Jul 28, 2026Fuyuan Xia, Qixin Zhang, Chenhao Ying +5Quantum Circuit SimulationFuzzing

  33. Quantum Speedups for Stochastic Optimization with Heavy-Tailed Noise

    Jul 28, 2026Bin Luo, Chengchang Liu, Jonathan Allcock +2Stochastic OptimizationQuantum Advantage

  34. Stacking the Deck: Tunable Trainability in Stacked LCUs

    Jul 27, 2026Nikhil Khatri, Stefan Zohren, Gabriel MatosVariational Quantum CircuitsQuantum Advantage

  35. Multivariate Time Series Forecasting with Adaptive Non-Local Observables

    Jul 27, 2026Yu-Ting Lee, Huan-Hsin Tseng, Samuel Yen-Chi ChenMultivariate Time Series ForecastingQuantum Neural Networks

  36. Superpixel-Based QUBO for Scalable Quantum-Enhanced Medical Image Segmentation

    Jul 27, 2026Mohammad Chalhoub, Mahdi Chehimi, Laia Domingo +3Quantum Approximate Optimization AlgorithmMedical Image Segmentation

  37. Variational Quantum Conditional Boltzmann Machines for Time-Series Forecasting: Architectures, Symmetric Hyperparameter Evaluation, and a Nonlinear Benchmark

    Jul 27, 2026Gerhard Hellstern, Danyal Maheshwari, Martin Zaefferer +2Hybrid Quantum Neural NetworksReservoir Computing

  38. Quantum-Inspired Evolutionary Neighborhood Search for Arrival-Departure Track Utilization Adjustment under Short-Term Disturbances

    Jul 27, 2026Xiaobin Li, Wuming Lei, Yanbin Gao +1Transit Network DesignQuantum Approximate Optimization Algorithm

  39. Neural Network Learning of One-Bit Protocols for Qubit Measurement Simulation

    Jul 26, 2026Josep Escrig, Mani Zartab, Giulio Gasbarri +3N$-Qubit Stabilizer States

  40. When Every Simulation Counts: Value-Based Reinforcement Learning for Accelerated Photonics Inverse Design

    Jul 26, 2026Longying Wen, Feiyang Wu, Jinglin Yu +3Photonic DevicesDeep Q-Networks

  41. Characterizing Arbitrary Lindbladian Dynamics with a Few Pauli Measurements

    Jul 25, 2026Taiqi Zhou, Weiyuan GongN$-Qubit Stabilizer StatesSingle-Photon Avalanche Diode

  42. Practical advantage beyond the quadratic speedup limit with fully-quantum walks

    Jul 24, 2026Massimiliano Incudini, Guglielmo MazzolaQuantum AdvantageQuantum Circuit Simulation

  43. Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support

    Jul 24, 2026Peiyong Wang, Udaya Parampalli, Casey R. MyersQuantum Machine Learning

  44. Susceptible Reservoir Architectures for Regime-Conditional Volatility Forecasting

    Jul 24, 2026Aliaksei KaliutauStochastic VolatilityReservoir

  45. Learning to Prepare Molecular Ground States with Transformer Models

    Jul 24, 2026Alex Koziell-Pipe, Jasmine Brewer, Jem Guhit +14Quantum Circuit SimulationN$-Qubit Stabilizer States

  46. Cautious optimism for deep parameterized quantum circuits

    Jul 23, 2026Marie Kempkes, Elies Gil-Fuster, Carlos Bravo-Prieto +5Quantum Machine LearningQuantum Circuit Simulation

  47. Explainable quantum-compressed machine learning for complex fluid flows

    Jul 23, 2026Xiao Xue, Maida Wang, Mingyang Gao +2Quantum Machine LearningFluid Dynamics

  48. Do emulated quantum circuits change what CNNs look at? Performance and explainability comparison in medical image classification

    Jul 23, 2026Guillermo Rubiños Rodríguez, Martín Ottavianelli, Mateo Alonso +4Hybrid Quantum Neural NetworksQuantum Circuit Simulation

  49. Hash-QNeRF: Multiresolution Hash Encoding for Quantum Neural Radiance Fields

    Jul 23, 2026Digonto Biswas, Tana Ballove, Anjan Bandyopadhyay +2Quantum Neural NetworksNeural Radiance Fields

  50. Approximate Quantum State Preparation Through Proximal Policy Optimization

    Jul 23, 2026Marco Mordacci, Michele AmorettiN$-Qubit Stabilizer StatesQubit

  51. An Analytically Trained Variational Surrogate for Quantum Phase Estimation on NISQ Hardware

    Jul 23, 2026Mousumi Kundu, Ashish Kumar Patra, Anurag K. S. V. +4Variational Quantum CircuitsQuantum Computing

  52. Machine Learning for Charge State Characterization of Isolated Double Quantum Dots

    Jul 23, 2026Hyma Vallabhapurapu, Marco Candido, Krishna Choudhary +7Quantum Machine LearningPost-Quantum Cryptography

  53. Statevector-Referenced Geometry Survival of a Four-Qubit ZZ Quantum Kernel on IBM Quantum Hardware: A Fixed-Subset Diagnostic Across Three Execution Configurations

    Jul 22, 2026Rostyslav SipakovQuantum KernelsQuantum Computing

  54. Classical Hardware Acceleration of Quantum Autoencoders for Real-Time Anomaly Detection in Collider Experiments

    Jul 22, 2026Ivan Ge, Sagar Addepalli, Abhilasha Dave +1Quantum Machine LearningField-Programmable Gate Arrays

  55. DQAOA-GPT: AI-Accelerated Distributed Quantum Optimization for Combinatorial Problems

    Jul 22, 2026Seongmin Kim, Abhinav Rijal, Yuri Alexeev +5Quantum Approximate Optimization AlgorithmCombinatorial Optimization

  56. PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks

    Jul 22, 2026Farah Elnakhal, Alberto Marchisio, Nouhaila Innan +2Quantum Neural NetworksSingle-Photon Avalanche Diode

  57. A Multiclass Quantum Aligned Centroid Kernel

    Jul 22, 2026Kilian Tscharke, Pascal DebusQuantum KernelsQubit

  58. A Drift Stable Quantum Federated Learning for Intelligent Services

    Jul 22, 2026Shanika Iroshi Nanayakkara, Shiva Raj PokhrelFederated LearningQuantum Neural Networks

  59. Machine-learned syndrome post-selection for reliable quantum error correction

    Jul 21, 2026Tobias Haug, Askery Canabarro, Leandro AolitaQuantum Error CorrectionError Correction

  60. Hybrid LLM-Guided Search for Quantum Reservoir Architecture Design

    Jul 21, 2026Krishna Bhatia, Gautami Sanjay NaikReservoir ComputingQuantum Machine Learning