Quantum Physics

Papers

• Qwen3 Technical Report (2025)
  An Yang, Anfeng Li, Baosong Yang, et al.
  11.05
• Aligning Quantum Operators with Large Language Models (2026)
  Rogerio Feris et al.
  5.49
• Binary Black Hole Parameter Estimation with Hybrid CNN-Transformer Neural Networks (2026)
  Panagiotis N. Sakellariou et al.
  5.49
• Free Heavy-Tailed Lunch for Muon: A Theoretical Justification of Empirical Success (2026)
  Florian H\"ubler et al.
  5.49
• Learning ground state observables from quantum computing experiments (2026)
  Ben Jaderberg et al.
  5.49
• JetParticle-JEPA: An Efficient Self-Supervised Representation Learning method for Jet Tagging in High-Energy Physics (2026)
  Guillaume Letellier (LPCC) et al.
  5.01
• Quantum Machine Learning for Industrial Applications (2026)
  L\'eo Monbroussou
  5.01
• Quantum-classical hybrid models based on error correction for time series forecasting (2026)
  Jonathan H. A. de Carvalho et al.
  5.01
• Enhancing Quantum Machine Learning with Anyons (2026)
  Da Zhang et al.
  5.01
• Direct/adaptive-mixture phase-gradient learning for neural-network quantum states with complex phase structure (2026)
  Yi-Ran Xue et al.
  4.39
• Transformers Learn the Mestre-Nagao Heuristic (2026)
  Pranav Venkata Konda
  4.39
• ReQAT: Achieving Full-Precision Reasoning Accuracy with 4-bit Floating-Point Quantization-Aware Training (2026)
  Janghwan Lee et al.
  4.39
• Long-Context Modeling via GSS-Transformer Hybrid Architecture with Learnable Mixing (2026)
  Kuzey Torlak et al.
  4.39
• Shift-and-Sum Quantization for Visual Autoregressive Models (2026)
  Jaehyeon Moon et al.
  4.39
• On the Entropy Formula for Real, Complex, and Quaternionic Deep Linear Networks (2026)
  Luis Contreras et al.
  4.39
• Hybrid Classical-Quantum Variational Autoencoder for Neural Topic Modeling (2026)
  Ivan Kankeu
  3.51
• Hybrid Classical-Quantum (HCQ) Alzheimer's Classification via Supervised $\beta$-VAE and Quantum Kernels (2026)
  Tia Tiwari et al.
  3.51
• Quantization Robustness of Monotone Operator Equilibrium Networks (2026)
  James Li et al.
  3.34
• DynGhost: Temporally-Modelled Transformer for Dynamic Ghost Imaging with Quantum Detectors (2026)
  Vittorio Palladino et al.
  2.00
• GQA-{\mu}P: The maximal parameterization update for grouped query attention (2026)
  Kyle R. Chickering et al.
  2.00
• LoopQ: Quantization for Recursive Transformers (2026)
  Rui Fang et al.
  2.00
• QuantFPFlow: Quantum Amplitude Estimation for Fokker--Planck Policy Optimisation in Continuous Reinforcement Learning (2026)
  Abraham Itzhak Weinberg
  2.00
• Hybrid Quantum-Classical Neural Architecture Search (2026)
  Alberto Marchisio et al.
  2.00
• Accelerating physics-informed neural networks for full waveform inversion using a hybrid quantum-classical finite-basis architecture (2026)
  Hoang Anh Nguyen et al.
  2.00
• Airport Terminal Passenger Queue Forecasting for Departure Gates and Security Checkpoints (2026)
  Juhwan Lee et al.
  2.00
• Quantum Global Variational Learning for Quantum Error Correction (2026)
  Shun Ryuzaki et al.
  2.00
• Quantum Cinema: An Interactive Cinematic Exploration of Quantum Computing Hardware via Generative World Models (2026)
  Aoyu Zhang et al.
  2.00
• Stochastic Schr\"odinger Diffusion Models for Pure-State Ensemble Generation (2026)
  Jian Xu et al.
  1.94
• A Biased Nonnegative Block Term Tensor Decomposition Model for Dynamic QoS Prediction (2026)
  Wenjing Liu et al.
  1.94
• Quantile-Free Uncertainty Quantification in Graph Neural Networks (2026)
  Soyoung park et al.
  1.94
• Learning and Generating Mixed States Prepared by Shallow Channel Circuits (2026)
  Fangjun Hu et al.
  1.89
• QFlowNet: Fast, Diverse, and Efficient Unitary Synthesis with Generative Flow Networks (2026)
  Inhoe Koo et al.
  1.83
• Layered Quantum Architecture Search for 3D Point Cloud Classification (2026)
  Natacha Kuete Meli and Jovita Lukasik and Vladislav Golyanik and Michael Moeller
  1.83
• Resource-Efficient Variational Quantum Classifier (2025)
  Petr Pt\'a\v{c}ek et al.
  1.61
• Intrinsic preservation of plasticity in continual quantum learning (2025)
  Yu-Qin Chen et al.
  1.61
• Q-Net: Queue Length Estimation via Kalman-based Neural Networks (2025)
  Ting Gao et al.
  1.50
• MetaTT: A Global Tensor-Train Adapter for Parameter-Efficient Fine-Tuning (2025)
  Javier Lopez-Piqueres et al.
  1.33