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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
Programmable Quantum Matter: Heralding Large Cluster Stat...
Pratyush Anand, Louis Follet, Odiel Hooybergs, Dirk R. Englund · 2025-09-03 · via cs.IT updates on arXiv.org

Atom-like emitters in solids are promising platforms for quantum sensing and information processing, but inhomogeneities in the emitter fine structure complicate quantum control. We present a framework that leverages this diversity to reduce the resources for generating optically heralded spin cluster states across $N_q$ emitters from the conventional order $O(N_q)$ to $O(1)$ in ensembles of $N_q \sim 10$-$100$. An optimized pulse sequence simultaneously corrects pulse-length and detuning errors, achieving single-qubit gate fidelities exceeding $99.99\%$ for errors (normalized relative to the Rabi drive strength) up to 0.3, while maintaining fidelities above $99\%$ for errors as large as 0.4. Applied as a Carr-Purcell-Meiboom-Gill (CPMG) dynamical decoupling protocol to the dominant noise spectrum of silicon-vacancy centers in diamond, it enhances ensemble coherence times by over $7\times$ compared to interleaved bang-bang based CPMG. For state-of-the-art dilution refrigerators, global resonant optimal decoupling across $N_q$ spins sharply reduces heating, addressing the trade-off between the spin coherence and scaling to $N_q \gg 1$. We further introduce a modified single-photon entanglement protocol with an efficient algorithm for deterministic entanglement compilation. Depending on the decoupling time window, our method yields order $O(10^2$-$10^4)$ more entanglement links than bang-bang sequences, with theoretical guarantees of order $Ω(N_q)$ unique links, improvable by control tuning. Together, these techniques provide scalable tools - including global control, phase denoising, remote entanglement, and compilation - for robust quantum computing architectures with heterogeneous spin ensembles.