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

V
V2EX
博客园 - 叶小钗
WordPress大学
WordPress大学
N
Netflix TechBlog - Medium
M
MIT News - Artificial intelligence
美团技术团队
aimingoo的专栏
aimingoo的专栏
博客园_首页
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Microsoft Security Blog
Microsoft Security Blog
Last Week in AI
Last Week in AI
The GitHub Blog
The GitHub Blog
小众软件
小众软件
T
Tailwind CSS Blog
Martin Fowler
Martin Fowler
B
Blog RSS Feed
月光博客
月光博客
量子位
H
Hackread – Cybersecurity News, Data Breaches, AI and More
Hugging Face - Blog
Hugging Face - Blog
IT之家
IT之家
Y
Y Combinator Blog
B
Blog
MyScale Blog
MyScale Blog

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
Structure-Fair Quantum Circuit Complexity: An Auditable I...
[Submitted on 20 Sep 2025 (v1), last revised 15 Sep 2026 (this v · 2025-09-20 · via cs.IT updates on arXiv.org

View PDF HTML (experimental)

Abstract:Quantum circuit complexity is often used to characterize the physical cost of state preparation, but its physical meaning depends on the reference and counting rules; the entropy-removal costs of operations such as reset may be left out of resource accounting. We propose the principle of structural fairness and develop the Reference-Contingent Complexity (RCC) framework, jointly specifying the reference, generation capabilities, and atomic costs. We construct a model family that can approximate arbitrary finite-dimensional pure and mixed states. Within an admissible model fixed in advance, we prove a rigorous lower bound on universal optimal quantum circuit complexity. The target state's smooth one-shot information gap relative to the unbiased structured vacuum (the maximum-entropy state on the reference support) has an entropy-spectrum structure. Calibrated by the atomic control bandwidth and with finite-description corrections included, this gap sets a common cost floor for every admissible successful path. Predeclared final-state measurements and their finite-sample statistics thus yield independently verifiable one-sided complexity lower-bound certificates without reconstructing the generation history. Finally, exact structural allocation relations under changes of observation window and reference motivate a conjecture on the reference covariance of entropy and complexity: a reference can shift the complexity zero point, but cannot remove the burden of generating structure at no cost.

Submission history

From: Zhiyue Wu [view email]
[v1] Sat, 20 Sep 2025 14:58:34 UTC (69 KB)
[v2] Sun, 19 Oct 2025 10:08:50 UTC (73 KB)
[v3] Mon, 29 Dec 2025 13:27:04 UTC (66 KB)
[v4] Tue, 15 Sep 2026 14:58:15 UTC (164 KB)