Quantum-Inspired ML

ML: Machine Learning

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4 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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QuanVI: Score-based Variational Inference via Quantum Maximally Mixed States
Sep 30, 2026Yuchen Cong, Zerui Tao, Chao Li +2Bayesian Inference Quantum-Inspired ML
Juntendo University · RIKEN-AIP
QiT: Quantum-Inspired Transformer for Visual Recognition Task
Sep 15, 2026Badri N. Patro, Vijay AgneeswaranVision Transformer Quantum-Inspired ML
Microsoft
Quantum-Inspired Trainable and Parameter-Efficient Tensor Networks for Image Inpainting
Sep 15, 2026Shiwen An, Konstantinos SlavakisTensor Networks Quantum-Inspired ML
Institute of Science Tokyo, Department of Information and Communications Engineering, Yokohama, Japan
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-Inspired ML Random Feature Methods
Department of Physics, Graduate School of Science, The University of Tokyo, Tokyo, Japan · Department of Computer Science, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan
Quantum-Structured World Models (QSWMs) for Predictive Latent Dynamics
Aug 5, 2026Hailong Jiang, Emran Hossain, Feng Yu +3Latent Dynamics Modeling Quantum-Inspired ML
Youngstown State University, Youngstown, OH, USA · Kent State University · George Washington University
LegoQ: Density-Matrix Representation Learning with Spectral-Spatial State Transitions for Hyperspectral Classification
Jul 31, 2026Weijia Cao, Xiaofei Yang, Fu Wang +2Representation Learning Quantum-Inspired ML
Complementary Matrix-Gated QKAN Fast-Weight Programmers for Quantum Dynamics Forecasting
Jul 30, 2026Kuo-Chung Peng, Samuel Yen-Chi Chen, Jiun-Cheng Jiang +14Quantum-Inspired ML Kolmogorov-Arnold Networks
Department of Physics and Center for Theoretical Physics, National Taiwan University, Taipei, Taiwan · Wells Fargo, New York, NY, USA · NVIDIA AI Technology Center, NVIDIA Corp., Taipei, Taiwan +10
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 +4Quantum Convolutional Neural Networks Quantum-Inspired ML
Instituto Tecnol´ogico de Galicia, Cant´on Grande 9, Planta 3, 15003 A Coru˜na, Spain · Centro Singular de Investigaci´on en Tecnolox´ıas Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, 15782, Spain · Department of Neuroradiology, LMU University Hospital, Ludwig Maximilian University of Munich, Marchioninistraße 15, 81377 Munich, Germany +1
Formulation-Level Auto-Tuning for QUBO-Based Machine Learning: A Case Study Across Multiple Quantum-Inspired Annealers
Jul 21, 2026Naoya Mizuki, Takahiro Katagiri, Daichi Mukunoki +1Black-Box Optimization Quantum-Inspired ML
Graduate School of Informatics, Nagoya University · Information Technology Center, Nagoya University
Image classification via a quantum-inspired strategy involving a mixture of experts
Jul 8, 2026Kumari Jyoti, Rohith Babu, Apoorva D. PatelHybrid Quantum-Classical ML Quantum-Inspired ML
Centre for High Energy Physics, Indian Institute of Science, Bangalore 560012
Quantum-Inspired Vision: Leveraging Wave-Particle Duality for Low-Illumination Enhancement
Jul 2, 2026Yiquan GaoExplainable Artificial Intelligence Low-Light Image Enhancement
Heriot-Watt University
RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines
Jun 29, 2026Xindian Ma, Xinyu Long, Yefei Zhang +11Vision-Language Models Quantum-Inspired ML
Thewake RiverYtz Lab
Parameter-Efficient Quantum-Inspired Fast Weight Programmers for Traffic-Matrix Forecasting
Jun 26, 2026Kuo-Chung Peng, Jiun-Cheng Jiang, Chun-Hua Lin +3Quantum-Inspired ML Spatiotemporal Forecasting
Department of Physics and Center for Theoretical Physics, National Taiwan University, Taipei, Taiwan · National Center for High-Performance Computing, National Institutes of Applied Research, Hsinchu, Taiwan · Wells Fargo, New York, NY, USA
Quantum-Inspired Contextual Learning for Sparse-Ring Fraud Detection in Dynamic Transaction Graphs
Jun 22, 2026Behnam Tonekaboni, Hiroshi YamauchiFinancial Fraud Detection Quantum-Inspired ML
1Infleqtion Australia, Melbourne · 2SoftBank Corp., Japan, Tokyo
A Matched Spectral Benchmark of Quantum Inspired Feature Maps
May 23, 2026Toheeb Ogunade, Taofeek Kassim, Etinosa OsaroQuantum Feature Maps Quantum Machine Learning
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
QuantFPFlow: Quantum Amplitude Estimation for Fokker--Planck Policy Optimisation in Continuous Reinforcement Learning
May 14, 2026Abraham Itzhak WeinbergReinforcement Learning Quantum-Inspired ML
AI-WEINBERG, AI Experts, Tel Aviv, Israel
Winning Lottery Tickets in Neural Networks via a Quantum-Inspired Classical Algorithm
May 13, 2026Natsuto Isogai, Hayata Yamasaki, Sho Sonoda +1Quantum-Inspired ML Neural Network Pruning
The University of Tokyo · RIKEN AIP
CTQWformer: A CTQW-based Transformer for Graph Classification
May 10, 2026Zhan Li, Wuqing Yu, Yusen Wu +1Graph Representation Learning Quantum-Inspired ML
school of Artificial Intelligence, Beijing Normal University, Beijing, China
A Quantum Inspired Variational Kernel and Explainable AI Framework for Cross Region Solar and Wind Energy Forecasting
May 9, 2026Pavan Manjunath, Thomas PruferTime Series Forecasting Quantum-Inspired ML
Independent Research Scholar, Germany
Exploring the non-convexity in machine learning using quantum-inspired optimization
May 8, 2026Kandula Eswara Sai Kumar, Parth Dhananjay Danve, Abhishek Chopra +1Evolutionary Optimization Quantum-Inspired ML
1*BosonQ Psi (BQP), New York, USA.
Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning
May 7, 2026Kuo-Chung Peng, Samuel Yen-Chi Chen, Jiun-Cheng Jiang +16Time Series Forecasting Quantum-Inspired ML
Department of Physics and Center for Theoretical Physics, National Taiwan University, Taipei, Taiwan · National Center for High-Performance Computing, National Institutes of Applied Research, Hsinchu, Taiwan · Wells Fargo, New York, NY, USA +11
Generative Quantum-inspired Kolmogorov-Arnold Eigensolver
May 6, 2026Yu-Cheng Lin, Yu-Chao Hsu, I-Shan Tsai +9Quantum Generative Modeling Quantum Chemistry
Department of Electrophysics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan. · National Center for High-Performance Computing, National Institutes of Applied Research, Hsinchu, Taiwan · Cross College Elite Program, National Cheng Kung University, Tainan, Taiwan +7
QYOLO: Lightweight Object Detection via Quantum Inspired Shared Channel Mixing
Apr 29, 2026Garvit Kumar Mittal, Sahil Tomar, Sandeep KumarEfficient Neural Network Inference Quantum-Inspired ML
Central Research Laboratory Bharat Electronics Limited Ghaziabad, India
Quantum inspired qubit qutrit neural networks for real time financial forecasting
Apr 20, 2026Kanishk Bakshi, Kathiravan SrinivasanQuantitative Finance Time Series Forecasting
School of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, India.
How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations
Apr 16, 2026Nouhaila Innan, Antonello Rosato, Alberto Marchisio +1Quantum Machine Learning Quantum-Inspired ML
eBRAIN Lab, Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi, UAE · Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, Rome, Italy · Center for Quantum and Topological Systems (CQTS), NYUAD Research Institute, NYUAD, Abu Dhabi, UAE
PhasorFlow: A Python Library for Unit Circle Based Computing
Mar 16, 2026Dibakar Sigdel, Namuna PandayComplex-Valued Neural Networks Quantum-Inspired ML
Mindverse Computing LLC, Lynnwood, WA 98087
QiVC-Net: Quantum-Inspired Variational Convolutional Network, with Application to Biosignal Classification
Nov 7, 2025Amin Golnari, Jamileh Yousefi, Reza Moheimani +1Uncertainty Quantification Quantum-Inspired ML
College of Engineering and Computer Science VinUniversity Hanoi, Vietnam · Shannon School of Business Cape Breton University Sydney, NS, Canada · Faculty of Computer Science Chemnitz University of Technology Chemnitz, Germany +2
Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks
Sep 17, 2025Jiun-Cheng Jiang, Morris Yu-Chao Huang, Tianlong Chen +1Quantum Machine Learning Quantum-Inspired ML
Department of Physics and Center for Theoretical Physics, National Taiwan University, Taipei 106319, Taiwan · Physics Division, National Center for Theoretical Sciences, National Taiwan University, Taipei 106319, Taiwan · Department of Computer Science, University of North Carolina at Chapel Hill, NC 27514, USA +1

Sep 30, 2026, cs.LGJ/K move · Enter open · S save

QuanVI: Score-based Variational Inference via Quantum Maximally Mixed States

Yuchen Cong, Zerui Tao, Chao Li, Zhe Sun+1

Juntendo University · RIKEN-AIP

Bayesian Inference Quantum-Inspired ML Variational Inference

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Score-based variational inference (VI) provides an alternative to Kullback--Leibler (KL)-based VI by minimizing the Fisher divergence between the variational distribution and the target. A prior score-VI approach formulates this optimization as an eigenvalue problem, with the variational distribution constructed from low-energy eigenstates. However, this eigenvalue-based formulation faces two high-dimensional obstacles: an intractably large parameter count due to exponential scaling and non-uniqueness of individual eigenvectors in degenerate or nearly degenerate low-energy subspaces. We propose QuanVI, a scalable quantum-inspired algorithm that combines a mixed-state density-operator formulation with a quantum tensor network (QTN) parameterization using the matrix product operator (MPO) structure. In degenerate low-energy subspaces, the density-operator formulation represents the subspace by its maximally mixed state rather than relying on a non-unique individual eigenvector, while the QTN parameterization compresses the density operator to avoid exponential parameter growth. Experiments and ablations show that QuanVI agrees with exact solutions in low dimensions and scales to high-dimensional synthetic and Bayesian posterior-approximation benchmarks, including challenging non-Gaussian targets.

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