Key papers

• Qwen3 Technical Report (2025)
  An Yang, Anfeng Li, Baosong Yang, et al.
  11.73
• Learning to Prepare Molecular Ground States with Transformer Models (2026)
  Alex Koziell-Pipe et al.
  5.89
• Optimal Stabilizer Testing and Learning with Limited Quantum Memory (2026)
  Srinivasan Arunachalam et al.
  5.49
• Approximate Quantum State Preparation Through Proximal Policy Optimization (2026)
  Marco Mordacci et al.
  5.49
• Do emulated quantum circuits change what CNNs look at? Performance and explainability comparison in medical image classification (2026)
  Guillermo Rubi\~nos Rodr\'iguez et al.
  5.49
• Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support (2026)
  Peiyong Wang et al.
  5.49
• A Defense of the Quadratic Model (2026)
  Alexandru Meterez et al.
  5.01
• Practical advantage beyond the quadratic speedup limit with fully-quantum walks (2026)
  Massimiliano Incudini et al.
  5.01
• Characterizing Arbitrary Lindbladian Dynamics with a Few Pauli Measurements (2026)
  Taiqi Zhou et al.
  5.01
• When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation (2026)
  Mojtaba Soltanalian
  5.01
• Neural Network Learning of One-Bit Protocols for Qubit Measurement Simulation (2026)
  Josep Escrig et al.
  5.01
• Multivariate Time Series Forecasting with Adaptive Non-Local Observables (2026)
  Yu-Ting Lee et al.
  5.01
• Stacking the Deck: Tunable Trainability in Stacked LCUs (2026)
  Nikhil Khatri et al.
  5.01
• Quantum-Inspired Contextual Learning for Sparse-Ring Fraud Detection in Dynamic Transaction Graphs (2026)
  Behnam Tonekaboni et al.
  4.39
• Qubit-Efficient Quantum Search for Hyperdimensional Decomposition via Logarithmic Encoding (2026)
  Sanggeon Yun et al.
  4.39
• Contraction-Gauge Preconditioning for Quantized Matrix Multiplication (2026)
  Piyush Sao et al.
  4.39
• Formulation-Level Auto-Tuning for QUBO-Based Machine Learning: A Case Study Across Multiple Quantum-Inspired Annealers (2026)
  Naoya Mizuki et al.
  4.39
• QScheduler: Adaptive Gradient Sampling for Zeroth-Order On-Device Training on INT8 NPUs (2026)
  Victor Felipe Domingues Do Amaral (GeePs) et al.
  4.39
• A Multiclass Quantum Aligned Centroid Kernel (2026)
  Kilian Tscharke et al.
  4.39
• GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries (2026)
  Miguel P. Bento et al.
  4.39
• A Drift Stable Quantum Federated Learning for Intelligent Services (2026)
  Shanika Iroshi Nanayakkara et al.
  4.39
• Explainable quantum-compressed machine learning for complex fluid flows (2026)
  Xiao Xue et al.
  4.39
• Reliability-Aware Bayesian Optimization of 1310 nm PCSELs with FDTD Verification (2026)
  Jinglin Yu et al.
  4.39
• QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization (2026)
  Siwei Chen et al.
  4.39
• Quotient Tree Arithmetic: Deferred-Division Computation with Bounded Symbolic Depth and Cross-Subtree Cancellation (2026)
  Gregory Magarshak
  4.39
• Approximate reservoir computing with a semiconductor laser for reducing energy consumption (2026)
  Tatsuki Ito et al.
  4.39
• When Every Simulation Counts: Value-Based Reinforcement Learning for Accelerated Photonics Inverse Design (2026)
  Longying Wen et al.
  4.39
• MXAttention: Data-Free Optimal Scaling and Pre-Normalization Quantization for MXFP4 Attention (2026)
  Jianlin Yu et al.
  4.39
• Mechanistic Interpretability and Causal Feature Steering of Neural Quantum States via Sparse Autoencoders (2026)
  Zihao Qi et al.
  3.51
• WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training (2026)
  Jianhao Ma et al.
  3.51
• SLT: Robust Quantum Neural Networks for Noisy-Label Medical Image Classification via Supermartingale-based Label Transition (2026)
  Jun Zhuang et al.
  3.51
• Entanglement geometry separates circuit cutting, classical hardness, and trainability (2026)
  Maria Gragera Garces et al.
  3.51
• Local Stability and Gaussian Smoothing of Quantized Neural Networks (2026)
  Sergey Salishev et al.
  3.51
• RDQ: Residual Distribution Quantization for Large Language Models (2026)
  Prateek Singh
  2.00
• Input-Aware Dynamic Backdoor Attack Against Quantum Neural Networks (2026)
  Junrui Zhang et al.
  2.00
• Implementations of Quantum and Classical Topology-Aligned Architectures for Molecular Property Prediction (2026)
  James T. Pegg et al.
  2.00
• RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation (2026)
  Abdallah Aaraba et al.
  2.00
• Universal Quantum Transformer (2026)
  Sungyong Chung et al.
  1.94
• Optimal Ansatz-free Hamiltonian Learning In Situ (2026)
  Taiqi Zhou et al.
  1.94
• TileQ: Efficient Low-Rank Quantization of Mixture-of-Experts with 2D Tiling (2026)
  Hongyaoxing Gu et al.
  1.89
• Quant.npu: Enabling Efficient Mobile NPU Inference for on-device LLMs via Fully Static Quantization (2026)
  Jinghe Zhang et al.
  1.89
• A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction (2026)
  Nouhaila Innan et al.
  1.89
• Shot-based quantum encoding: a data-loading paradigm for quantum neural networks (2026)
  Basil Kyriacou et al.
  1.83
• ReSpinQuant: Efficient Layer-Wise LLM Quantization via Subspace Residual Rotation Approximation (2026)
  Suyoung Kim et al.
  1.83
• Learning to Solve the Quadratic Assignment Problem with Warm-Started MCMC Finetuning (2026)
  Yicheng Pan et al.
  1.83
• QFlowNet: Fast, Diverse, and Efficient Unitary Synthesis with Generative Flow Networks (2026)
  Inhoe Koo et al.
  1.78
• NanoZK: Privacy-Preserving Verifiable Inference for Large Language Models via Layerwise Zero-Knowledge Proofs (2026)
  Zhaohui Wang
  1.78
• Layered Quantum Architecture Search for 3D Point Cloud Classification (2026)
  Natacha Kuete Meli and Jovita Lukasik and Vladislav Golyanik and Michael Moeller
  1.78
• GPU-Accelerated ANNS: Quantized for Speed, Built for Change (2026)
  Hunter McCoy et al.
  1.67
• Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction (2026)
  Jang-Hyun Kim et al.
  1.67
• LPCD: Unified Framework from Layer-Wise to Submodule Quantization (2025)
  Yuma Ichikawa et al.
  1.61
• CALM: A CKA-Guided Adaptive Layer-Wise Modularization Framework for LLM Quantization (2025)
  Jinhao Zhang and Yunquan Zhang and Daning Chen and JunSun and Zicheng Yan
  1.61
• Quantum Safe-Set Bayesian Optimization for Quality Improvement in Fuselage Assembly (2025)
  Jiayu Liu et al.
  1.56
• Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models (2025)
  Chenxi Zhou et al.
  1.39
• Is data-efficient learning feasible with quantum models? (2025)
  Alona Sakhnenko et al.
  1.39
• Vector Quantized-Elites: Unsupervised and Problem-Agnostic Quality-Diversity Optimization (2025)
  Constantinos Tsakonas et al.
  1.17
• A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning (2025)
  Qingyue Zhang et al.
  1.06
• CLoQ: Enhancing Fine-Tuning of Quantized LLMs via Calibrated LoRA Initialization (2025)
  Yanxia Deng et al.
  1.00
• FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism (2021)
  Je Yang et al.
  —
• OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models (2023)
  Changhun Lee et al.
  —