Key papers

• Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing (2026)
  Xinjie Zhang et al.
  12.42
• Online Locality Meets Distributed Quantum Computing (2024)
  Amirreza Akbari et al.
  9.32
• How Much of the Routing Gap Is Real? Decomposing the Router-to-Oracle Gap into Reproducible Specialist Advantage and Single-Draw Label Noise (2026)
  Teng-Ruei Chen
  4.33
• Dynamic-in-Few-Step: Unifying Dynamic Computation and Few-Step Distillation for Efficient Video Generation (2026)
  Yu Cheng et al.
  4.33
• AirPASS: Over-the-Air Federated Learning via Pinching Antenna Systems (2026)
  Seyed Mohammad Azimi-Abarghouyi et al.
  4.33
• Automated Tensor Scheduling for Hybrid CPU-GPU LLM Inference on Consumer Devices (2026)
  Yangyijian Liu et al.
  4.33
• How Query Visibility Changes KV-Cache Compression Rankings: A Matched-Budget Audit (2026)
  Daming Luo et al.
  4.33
• Scalable Optimal Transport Algorithm for Network Alignment (2026)
  Elaheh Hassani et al.
  4.33
• LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention (2026)
  Ziqi Yin et al.
  4.33
• FlashDiff: Efficient Regional Execution and Scheduling for Diffusion Model Serving (2026)
  Yaqi Qiao et al.
  4.33
• Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models (2026)
  Chao Han et al.
  4.33
• Compressing What Matters: Neuron Importance Meets Data-Aware Low Rank Approximation for Language Model Compression (2026)
  Athanasios Ntovas et al.
  4.33
• Multi-Timescale Latent-Action DRL for Joint Optimization in Edge-Cloud Networks (2026)
  Vo Phi Son et al.
  4.33
• Cost Accounting for Reactive Computational Graphs: Exhaustive Sweeps, Sequential Mutation, and the Backward-Locality Gap (2026)
  Abdallah Khemais (ISITCOM et al.
  4.33
• Federated Lightweight Fine-Tuning (2026)
  Radhakrishna Achanta et al.
  4.33
• Graph Neural Network-based Algorithm Selection for the Traveling Salesman Problem: A Systematic Study of Cost and Rank Losses under Distinct Budget Regimes (2026)
  Zhaoxuan Li et al.
  4.33
• QScheduler: Adaptive Gradient Sampling for Zeroth-Order On-Device Training on INT8 NPUs (2026)
  Victor Felipe Domingues Do Amaral (GeePs) et al.
  4.33
• AdaFlash: Adaptive Speculative Decoding via On-Policy Distilled Diffusion Drafters (2026)
  Yu-Yang Qian et al.
  4.33
• Entanglement-Efficient Distribution of Quantum Circuits over Large-Scale Quantum Networks (2025)
  Felix Burt et al.
  3.81
• PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs (2026)
  Jing Liu et al.
  3.45
• Certified-Gap Dual-Price Policies for Real-Time Truckload Bid Acceptance with Relocating, Clock-Constrained Resources (2026)
  Aswin Chandrasekaran
  3.45
• Beyond Single-Episode Optimization: Sliding-Window Aware Generative Auto-Bidding for Long-Term Advertising Effectiveness (2026)
  Binglin Wu et al.
  3.45
• Distributed Variational Quantum Algorithm with Many-qubit for Optimization Challenges (2025)
  Seongmin Kim and In-Saeng Suh
  2.65
• Joint Optimization of Qubit Leasing and Quantum Circuit Distribution (2026)
  Anoushka Dey et al.
  1.89
• Distributed Variational Quantum Linear Solver (2026)
  Tong Shen et al.
  1.78
• Efficient Time-Aware Partitioning of Quantum Circuits for Distributed Quantum Computing (2026)
  Raymond P. H. Wu et al.
  1.72
• Cutting Quantum Circuits Beyond Qubits (2026)
  Manav Seksaria et al.
  1.61
• UNIQ: Communication-Efficient Distributed Quantum Computing via Unified Nonlinear Integer Programming (2025)
  Hui Zhong et al.
  1.56
• TreeVQA: A Tree-Structured Execution Framework for Shot Reduction in Variational Quantum Algorithms (2025)
  Yuewen Hou et al.
  1.56
• Adaptive Resource Orchestration for Distributed Quantum Computing Systems (2025)
  Kuan-Cheng Chen et al.
  1.56
• Optimizing Compilation for Distributed Quantum Computing via Clustering and Annealing (2025)
  Ruilin Zhou et al.
  1.33
• Residue Number System (RNS) based Distributed Quantum Multiplication (2025)
  Bhaskar Gaur and Himanshu Thapliyal
  1.22
• Distributed Quantum Circuit Cutting for Hybrid Quantum-Classical High-Performance Computing (2025)
  Mar Tejedor et al.
  1.17
• Distributed quantum computing with black-box subroutines (2025)
  X. Xu et al.
  1.17
• Network-Aware Scheduling for Remote Gate Execution in Quantum Data Centers (2025)
  Shahrooz Pouryousef et al.
  1.11
• Quantum Entanglement with Self-stabilizing Token Ring for Fault-tolerant Distributed Quantum Computing System (2022)
  Jehn-Ruey Jiang
  —
• Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK (2023)
  Florian J. Kiwit et al.
  —
• Validating Large-Scale Quantum Machine Learning: Efficient Simulation of Quantum Support Vector Machines Using Tensor Networks (2024)
  Kuan-Cheng Chen et al.
  —
• ML-QLS: Multilevel Quantum Layout Synthesis (2024)
  Wan-Hsuan Lin and Jason Cong
  —
• Noise-Aware Distributed Quantum Approximate Optimization Algorithm on Near-term Quantum Hardware (2024)
  Kuan-Cheng Chen et al.
  —
• Distributed Quantum Approximate Optimization Algorithm on a Quantum-Centric Supercomputing Architecture (2024)
  Seongmin Kim et al.
  —
• Lazy Qubit Reordering for Accelerating Parallel State-Vector-based Quantum Circuit Simulation (2024)
  Yusuke Teranishi et al.
  —
• ECDQC: Efficient Compilation for Distributed Quantum Computing with Linear Layout (2024)
  Kecheng Liu et al.
  —
• Hardware-aware Circuit Cutting and Distributed Qubit Mapping for Connected Quantum Systems (2024)
  Zefan Du et al.
  —
• DistributedEstimator: Distributed Training of Quantum Neural Networks via Circuit Cutting (2026)
  Prabhjot Singh et al.
  —