Quantum Generative Modeling

Ask about this topic

Overview

Quantum generative modeling studies how to create samples from learned distributions, including images, molecules, signals, and quantum states. Its main approaches include quantum circuit Born machines and generative adversarial networks, diffusion and flow-matching models, and quantum annealing, often combined with classical neural networks. These methods are explored for sampling complex distributions, preparing quantum states, and generating data for tasks with limited training examples. A central open question is whether they offer reliable benefits over well-matched classical models, given challenges in trainability, noise, hardware scale, and fair evaluation.

Latest papers

CardsList

54 papers8 papers in the last four weeks, up 14% on the four weeks before. 0.0% of all new papers.

  1. Quantum-JEPA: Quantum Born Priors for Latent-Action JEPA World Models

    Oct 20, 2026Zhiyuan Liu, Sicheng Liu, Haiyu WuQuantum Circuit Born MachinesAction-Conditioned World Models

    Qinous Technology Co., Ltd., Beijing, China · Tsinghua University, Beijing, China · University of Notre Dame, Notre Dame, IN, USA

  2. LiftDiff: Guided Discrete Diffusion for Quantum Code Construction

    Oct 18, 2026Yotam Peled, Eliya NachmaniQuantum Error CorrectionQuantum LDPC Codes

    School of Electrical And Computer Engineering, Ben-Gurion University of the Negev, Israel

  3. Diffusion Language Models as Open Quantum Systems

    Oct 15, 2026Akinori Tanaka, Yukinao Akamatsu, Takuki Tomita +1Diffusion Language ModelsQuantum Generative Modeling

    RIKEN Center for Advanced Intelligence Project (AIP), Japan · RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS), Japan · Department of Mathematics, Keio University, Japan +2

  4. Generative Quantum Machine Learning Methods for Cancer Detection using Augmented Datasets

    Oct 10, 2026Sophia Knutson, Nandika Goyal, Gennaro De Luca +3Ultrasound Image ClassificationMedical Image Classification

    School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA · SenSIP Center, Arizona State University, Tempe, AZ, USA · School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA

  5. Verifiable Sampling for Delegated Generative Quantum Machine Learning

    Oct 9, 2026Matteo Inajetovic, Anna Pappa, Petros WalldenQuantum Generative Modeling

    Electrical Engineering and Computer Science Department Technische Universität Berlin Berlin, Germany · Quantum Software Lab School of Informatics University of Edinburgh Edinburgh, United Kingdom

  6. An Efficient Quantum Circuit for Flow Model Execution Using Quantum Neural Networks

    Oct 8, 2026Rui Che, Ludvig af KlintebergQuantum Generative ModelingQuantum Circuit Simulation

    Department of Business and Mathematics, Mälardalen University, Universitetsplan 1, Väster˚as, 721 23, Sweden.

  7. Learning Disentangled Representations with Quantum Variational Autoencoders

    Oct 5, 2026Gaoyuan Wang, Jerry Tan, Mark GersteinVariational AutoencodersDisentangled Representation Learning

    Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA · Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut 06520, USA · Department of Computer Science, Yale University, New Haven, Connecticut 06520, USA +2

  8. Quantum Fidelity Landscape-Guided Prior Calibration for Single-Circuit QGAN Image Generation

    Sep 29, 2026Xue Yang, Rigui Zhou, Dax Enshan Koh +5Quantum Generative ModelingImage Generation

    School of Information Engineering, Shanghai Maritime University, Shanghai 201306, China · Research Center of Intelligent Information Processing and Quantum Intelligent Computing, Shanghai 201306, China · Quantum Innovation Centre (Q.InC), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore 138634, Republic of Singapore +5

  9. Quantum Diffusion Models for Medical Image Analysis

    Sep 25, 2026Francesco Aldo Venturelli, Stefano Martina, Marco Parigi +3Quantum Generative ModelingDiffusion Models

    BCN Medtech, Department of Engineering, Universitat Pompeu Fabra, Barcelona, Spain · Barcelona Supercomputing Center, Barcelona, Spain · Department of Physics and Astronomy, University of Florence, Sesto Fiorentino, Florence, Italy +2

  10. HMB-GAN: Hybrid Multi-Bézier GAN for Vector Shape Synthesis

    Sep 17, 2026Elian Hugh Thiele-Evans, Binh Duong Pham, Hani Omar M Alharbi +5Generative Adversarial NetworksQuantum Generative Modeling

    School of Science, Computing and Emerging Technologies Swinburne University of Technology Melbourne, Australia · School of Engineering, and School of Design and Architecture Swinburne University of Technology Melbourne, Australia

  11. Conditional Quantum Flow Matching for Data-Scarce Physiological Signal Augmentation

    Sep 12, 2026Chi-Sheng Chen, Samuel Yen-Chi ChenSynthetic Data AugmentationQuantum Generative Modeling

    Harvard Medical School & Beth Israel Deaconess Medical Center, Boston, MA, USA · Brookhaven National Laboratory, Upton, NY, USA

  12. Hierarchical Fourier Approximation for Variational Quantum Distribution Learning

    Sep 5, 2026Taha Hoseinpour Asli, Sajjad Hashemian, Ebrahim Ardeshir-LarijaniQuantum Circuit Born MachinesQuantum Machine Learning

    Sharif University of Technology · University of Tehran · Iran University of Science and Technology

  13. Quantum MeanFlow: single-shot generative sampling on NISQ hardware

    Sep 2, 2026Ashish Joshi, Eshaan Mistry, Takahiko KoyamaQuantum Generative ModelingFlow Matching

    1Human Biology-Microbiome-Quantum Research Center (WPI-Bio2Q), Keio University, Tokyo, Japan · 2Keio University Sustainable Quantum Artificial Intelligence Center (KSQAIC), Keio University, Tokyo, Japan · University of California, Berkeley, CA, USA

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

    Aug 31, 2026Robin Lorenz, Eric Brunner, Marcello BenedettiLatent Variable ModelsQuantum Generative Modeling

    Quantinuum, London, United Kingdom

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

    Aug 31, 2026Snehal Raj, Natansh Mathur, Alejandro Perdomo-OrtizQuantum Generative Modeling

    QC Ware Corp., Palo Alto, USA and Paris, France · LIP6, CNRS, Sorbonne Universit´e, Paris, France

  16. Scalable quantum simulation of continuous-time generative models via tensor networks

    Aug 22, 2026Nathan X. Kodama, L. Andrew Wray, Sam Cochran +3Quantum Generative ModelingGenerative Modeling

    Sygaldry Technologies, Inc., Ann Arbor, MI, USA. · University of Michigan, Ann Arbor, MI, USA.

  17. Classical Limits of Spectral Filtering in Quantum Generative Models

    Aug 14, 2026Marco RothQuantum Circuit Born MachinesQuantum Machine Learning

    Fraunhofer Institute for Industrial Engineering IAO, Nobelstr. 12, D-70569 Stuttgart, Germany

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

    Aug 12, 2026Xue Yang, Rigui Zhou, ShiZheng Jia +7Geometry-Conditioned Image GenerationImplicit Neural Representations

    School of Information Engineering, Shanghai Maritime University, Shanghai 201306, China · Research Center of Intelligent Information Processing and Quantum Intelligent Computing, Shanghai 201306, China · Quantum Innovation Centre (Q.InC), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis, #08-03, Singapore 138634, Republic of Singapore +5

  19. 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 Generative ModelingQuantum Circuit Expressibility

    University of Innsbruck, Department of Theoretical Physics, Technikerstraße 21a, A-6020 Innsbruck, Austria.

  20. Quantum Circuits in Diffusion Models: A Fair-Comparison Study and a Mechanistic Analysis of Angle-Embedding Failures

    Jul 10, 2026Jaeuk Kim, Sanghoon YooQuantum Generative ModelingVariational Quantum Circuits

    NextITS Co., Ltd.

  21. An Hybrid Quantum-Classical Diffusion Model for Image Generation

    Jul 8, 2026Qipeng Qian, Keli Deng, Yuntao QianLatent Diffusion ModelsQuantum Generative Modeling

    Program of Applied Mathematics, Department of Mathematics, University of Arizona, Tucson, USA · College of Computer Science and Technology, Zhejiang University, Hangzhou, China

  22. Generative Modeling of Quantum Distribution with Functional Flow Matching

    Jul 1, 2026Jaehoon Hahm, Tak Hur, Joonseok Lee +1Flow MatchingQuantum Generative Modeling

    Department of Statistics and Data Science, Yonsei University, Seoul, Korea · Graduate School of Data Science, Seoul National University, Seoul, Korea · Google Research, Mountain View, California, United States +1

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

    Jun 25, 2026Jack Waller, Filippo Caruso, Dimitrios Makris +2Synthetic Data AugmentationQuantum Generative Modeling

    School of Computer Science and Mathematics, Kingston University London, London, KT1 2EE, U.K.. · Department of Physics and Astronomy, University of Florence, Florence, Sesto Fiorentino 50019, Italy. · Department of Electronics and Electrical Engineering, Brunel University of London, London, UB8 3PH, U.K..

  24. Intrinsic Flow Matching on Quantum Pure-State Manifolds with Phase-Aligned Transport

    Jun 19, 2026Jian Xu, Delu Zeng, John Paisley +1Flow MatchingQuantum Generative Modeling

    RIKEN iTHEMS · RIKEN AIP · South China University of Technology +1

  25. A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI

    Jun 17, 2026Syed Mujtaba Haider, Silvia FiginiSynthetic Data AugmentationQuantum Generative Modeling

    Department of Political and Social Sciences, University of Pavia, Pavia, Italy

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

    Jun 8, 2026Gennaro De Luca, Vinayak Sharma, Aviral ShrivastavaQuantum Generative ModelingQuantum Machine Learning

    SCAI, Arizona State University

  27. QnRL: Quantum-Native Reinforcement Learning

    Jun 6, 2026Alexander DeRieux, Walid SaadDistributional RLQuantum Generative Modeling

    Bradley Department of Electrical and Computer Engineering, Virginia Tech Institute for Advanced Computing, Alexandria, VA 22305 USA

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

    May 27, 2026Quoc Hoan Tran, Koki Chinzei, Yasuhiro Endo +1Latent Variable ModelsQuantum Generative Modeling

    Quantum Laboratory, Fujitsu Research, Fujitsu Limited, Kawasaki, Kanagawa 211-8588, Japan

  29. Generative Quantum-inspired Kolmogorov-Arnold Eigensolver

    May 6, 2026Yu-Cheng Lin, Yu-Chao Hsu, I-Shan Tsai +9Quantum Generative ModelingQuantum 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

  30. Stochastic Schrödinger Diffusion Models for Pure-State Ensemble Generation

    May 5, 2026Jian Xu, Wei Chen, Shigui Li +5Quantum Generative ModelingQuantum State Preparation

    1RIKEN iTHEMS · 2RIKEN AIP · 3South China University of Technology +2