惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

G
Google Developers Blog
小众软件
小众软件
The Cloudflare Blog
S
SegmentFault 最新的问题
美团技术团队
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
阮一峰的网络日志
阮一峰的网络日志
博客园 - 聂微东
V
Visual Studio Blog
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
雷峰网
雷峰网
WordPress大学
WordPress大学
T
Tailwind CSS Blog
腾讯CDC
人人都是产品经理
人人都是产品经理
月光博客
月光博客
Microsoft Azure Blog
Microsoft Azure Blog
M
MIT News - Artificial intelligence
D
DataBreaches.Net
Apple Machine Learning Research
Apple Machine Learning Research
P
Proofpoint News Feed
J
Java Code Geeks
宝玉的分享
宝玉的分享

cs.IT updates on arXiv.org

Theoretical Limits of Language Model Alignment $f$-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models When Can Voting Help, Hurt, or Change Course? Exact Structure of Binary Test-Time Aggregation When Semantic Communication Meets Queueing: Cross-Layer Latency and Task Fidelity Optimization Convexity in Disguise: A Theoretical Framework for Nonconvex Low-Rank Matrix Estimation Conditional Diffusion Under Linear Constraints: Langevin Mixing and Information-Theoretic Guarantees Sharp Capacity Thresholds in Linear Associative Memory: From Winner-Take-All to Listwise Retrieval Expert Routing for Communication-Efficient MoE via Finite Expert Banks Contextual Memory-Enhanced Source Coding for Low-SNR Communications Realizable Bayes-Consistency for General Metric Losses Leveraging Code Automorphisms for Improved Syndrome-Based Neural Decoding A Hierarchical Sampling Framework for bounding the Generalization Error of Federated Learning Dueling DDQN-Based Adaptive Multi-Objective Handover Optimization for LEO Satellite Networks The Causal Description Gap: Information-Theoretic Separations Across Pearl's Hierarchy Optimization of CV-QKD Under Practical Constraints Benchmarking Wireless Representations: High-Dimensional vs. Compressed Embeddings for Efficiency and Robustness Real-Time Text Transmission via LLM-Based Entropy Coding over Fixed-Rate Channels SwiftChannel: Algorithm-Hardware Co-Design for Deep Learning-Based 5G Channel Estimation Evolving Token Communication with Parametric Memory Network Remote Action Generation: Remote Control with Minimal Communication The (Marginal) Value of a Search Ad: An Online Causal Framework for Repeated Second-price Auctions Stabilizing Private LASSO under Heterogeneous Covariates via Anisotropic Objective Perturbation Linear-Readout Floors and Threshold Recovery in Computation in Superposition Soft Graph Diffusion Transformer for MIMO Detection Hierarchical Federated Learning for Networked AI: From Communication Saving to Architecture-Aware Design Exponential families from a single KL identity MIFair: A Mutual-Information Framework for Intersectionality and Multiclass Fairness Diffusion-OAMP for Joint Image Compression and Wireless Transmission Decoupled Descent: Exact Test Error Tracking Via Approximate Message Passing
Covert Blockwise Coding with Sequential Detection over Th...
[Submitted on 17 Jun 2026] · 2026-06-18 · via cs.IT updates on arXiv.org

View PDF HTML (experimental)

Abstract:We develop, to our knowledge, the first receiver-centric blockwise sequential-detection framework for covert communication over thermal-loss bosonic channels. In this architecture, each block serves as a binary super-symbol, and the key design problem is to determine the minimum detection-segment length that enables Bob to detect an active block before the block ends while remaining covert to Willie. For any fixed physically realizable general-dyne receiver, Bob's post-change information growth is linear in the small-signal regime, whereas Willie's detectability obeys a quadratic quantum relative entropy law. Exploiting this asymmetry, we show that under a per-block covertness budget the asymptotically optimal signaling strategy is uniform across the detection segment, and we derive an explicit minimum-length condition under which a single-pass cumulative sum (CUSUM) detector crosses threshold within the same block with exponentially high probability. The resulting design law yields a covert blockwise binary codebook over a finite transmission horizon and establishes a concrete link between bosonic covert communication, sequential detection, and blockwise signaling design. More broadly, these results provide design guidance for covert quantum communication systems with physically realizable receivers, and help bridge information-theoretic covertness guarantees with implementable receiver-aware optical communication design.

Submission history

From: Qipeng Qian [view email]
[v1] Wed, 17 Jun 2026 04:03:59 UTC (1,337 KB)