Key papers

• Learning to Prepare Molecular Ground States with Transformer Models (2026)
  Alex Koziell-Pipe et al.
  5.84
• Quantum-Enhanced Synthetic Data Generation Using Quantum Circuit Born Machines for Imbalanced Tabular Learning (2026)
  Tanapol Nuatho et al.
  4.95
• CayleyR: Solving the TopSpin puzzle via cycle intersection (2026)
  Yuri Baramykov
  4.33
• Ptolemy's Equant Equates to a Universal Dynamical Clock via Machine Learning (2026)
  Jingdong Zhang et al.
  4.33
• PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks (2026)
  Farah Elnakhal et al.
  4.33
• Quantum Kernels and the Cross-Section of Stock Returns: Anatomy of a Vanishing Advantage (2026)
  Junchi Shen
  4.33
• Statevector-Referenced Geometry Survival of a Four-Qubit ZZ Quantum Kernel on IBM Quantum Hardware: A Fixed-Subset Diagnostic Across Three Execution Configurations (2026)
  Rostyslav Sipakov
  4.33
• A Drift Stable Quantum Federated Learning for Intelligent Services (2026)
  Shanika Iroshi Nanayakkara et al.
  4.33
• VQCSim: When Does Compile-Once Statevector Simulation Beat Generic Quantum Frameworks? (2026)
  Anton Firc et al.
  3.45
• InferQ: A Database-Oriented Benchmark for Quantum Circuits Simulation (2026)
  Andrei Ilinescu et al.
  1.94
• Transpiler Autotuning with Predictive Models for Quantum Circuit Optimization (2026)
  Piotr Malkowski et al.
  1.94
• Hybrid Quantum-Classical Corrective Diffusion Modeling for Meteorological Downscaling (2026)
  Rui Wang et al.
  1.83
• Score Reversal Is Not Free for Quantum Diffusion Models (2026)
  Ammar Fayad
  1.72
• QTabGAN: A Hybrid Quantum-Classical GAN for Tabular Data Synthesis (2026)
  Subhangi Kumari et al.
  1.67
• Learning Quantum Data Distribution via Chaotic Quantum Diffusion Model (2026)
  Quoc Hoan Tran et al.
  1.67
• Exponential capacity scaling of classical GANs compared to hybrid latent style-based quantum GANs (2026)
  Milan Liepelt and Julien Baglio
  1.61
• Unlocking the Power of Boltzmann Machines by Parallelizable Sampler and Efficient Temperature Estimation (2025)
  Kentaro Kubo et al.
  1.56
• Mitigating Barren Plateaus in Quantum Denoising Diffusion Probabilistic Model (2025)
  Haipeng Cao et al.
  1.56
• Fisher Information, Training and Bias in Fourier Regression Models (2025)
  Lorenzo Pastori et al.
  1.44
• SCORENF: Score-based Normalizing Flows for Sampling Unnormalized distributions (2025)
  Vikas Kanaujia et al.
  1.44
• Quantum Generative Adversarial Autoencoders: Learning latent representations for quantum data generation (2025)
  Naipunnya Raj et al.
  1.39
• Local Diffusion Models and Phases of Data Distributions (2025)
  Fangjun Hu et al.
  1.33
• Quantum-Enhanced Generative Adversarial Networks: Comparative Analysis of Classical and Hybrid Quantum-Classical Generative Adversarial Networks (2025)
  Kun Ming Goh
  1.33
• Quantum Flow Matching (2025)
  Zidong Cui and Pan Zhang and Ying Tang
  1.33
• Continuous-variable Quantum Diffusion Model for State Generation and Restoration (2025)
  Haitao Huang et al.
  1.22
• Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning (2025)
  Chuangtao Chen et al.
  1.17
• Leveraging Diffusion Models for Parameterized Quantum Circuit Generation (2025)
  Daniel Barta et al.
  1.17
• Towards efficient quantum algorithms for diffusion probabilistic models (2025)
  Yunfei Wang et al.
  1.00
• UDiTQC: U-Net-Style Diffusion Transformer for Quantum Circuit Synthesis (2025)
  Zhiwei Chen et al.
  0.94
• Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State Ensemble (2024)
  Chuangtao Chen et al.
  —
• Quantum Denoising Diffusion Models (2024)
  Michael K\"olle et al.
  —
• Variational Quantum Circuits Enhanced Generative Adversarial Network (2024)
  Runqiu Shu et al.
  —
• Quantum Normalizing Flows for Anomaly Detection (2024)
  Bodo Rosenhahn et al.
  —
• Quantum State Generation with Structure-Preserving Diffusion Model (2024)
  Yuchen Zhu et al.
  —
• Guardians of the Quantum GAN (2024)
  Archisman Ghosh et al.
  —
• Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation (2024)
  Qibin Liu et al.
  —
• VAE-QWGAN: Addressing Mode Collapse in Quantum GANs via Autoencoding Priors (2024)
  Aaron Mark Thomas et al.
  —
• Quantum Diffusion Model for Quark and Gluon Jet Generation (2024)
  Mariia Baidachna et al.
  —