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arXiv:2509.24894v3 Announce Type: replace-cross Abstract: The LogSumExp function, dual to the Kullback-Leibler (KL) divergence, plays a central role in many important optimization problems, including entropy-regularized...
arXiv:2510.05588v3 Announce Type: replace-cross Abstract: Given a matrix $A$ of dimension $M \times N$ and a vector $\vec{b}$, the quantum linear system (QLS) problem asks...
arXiv:2510.07439v2 Announce Type: replace-cross Abstract: Fine-grained spectral properties of quantum Hamiltonians, including both eigenvalues and their multiplicities, provide useful information for characterizing many-body quantum systems...
arXiv:2510.16082v2 Announce Type: replace-cross Abstract: The interpretation of gene clusters derived from RNA sequencing (RNA-seq) experiments remains a persistent challenge in functional genomics, particularly in...
arXiv:2510.18190v2 Announce Type: replace-cross Abstract: Estimating piano dynamic from audio recordings is a fundamental challenge in computational music analysis. In this paper, we propose an...
arXiv:2510.20728v2 Announce Type: replace-cross Abstract: We present a multi-agent, human-in-the-loop workflow that co-designs quantum error-correcting codes with prescribed transversal diagonal gates. It builds on the...
arXiv:2511.01467v3 Announce Type: replace-cross Abstract: We study quantum differential privacy (QDP) by defining a notion of the order of informativeness between pairs of quantum states....
arXiv:2511.04188v4 Announce Type: replace-cross Abstract: We demonstrate that charge teleportation serves as a superior observable for Quantum Energy Teleportation (QET)-based cryptographic primitives. While following the...
arXiv:2511.05522v2 Announce Type: replace-cross Abstract: Accurate, low-latency channel modeling is essential for real-time wireless network simulation and digital-twin applications. Traditional modeling methods like ray tracing...
arXiv:2511.12323v2 Announce Type: replace-cross Abstract: Purpose: This study extends the structural theory of finite commutative ternary $\Gamma$-semirings into a computational and categorical framework for explicit...
arXiv:2511.16420v3 Announce Type: replace-cross Abstract: The rapid growth of data centers increasingly requires data center operators to "bring own generation" to complement the available utility...
arXiv:2512.13614v2 Announce Type: replace-cross Abstract: We study the estimation of an unknown quantum channel $\mathcal{E}$ with input dimension $d_1$, output dimension $d_2$ and Kraus rank...
arXiv:2601.04983v2 Announce Type: replace-cross Abstract: Scaling quantum computers requires tight integration of cryogenic control electronics with quantum processors, where Digital-to-Analog Converters (DACs) face severe power...
arXiv:2601.08900v2 Announce Type: replace-cross Abstract: Machine learning approaches for fringe projection profilometry (FPP) are hindered by the lack of large, diverse datasets and standardized benchmarking...
arXiv:2601.10506v5 Announce Type: replace-cross Abstract: We prove that there is no preferential voting method satisfying the Condorcet winner and loser criteria, positive involvement (if a...
arXiv:2601.16174v2 Announce Type: replace-cross Abstract: Uncertainty estimation in machine learning has traditionally focused on the prediction stage, aiming to quantify confidence in model outputs while...
arXiv:2601.17160v2 Announce Type: replace-cross Abstract: We develop a data-driven information-theoretic framework for sharp partial identification of causal effects under unmeasured confounding. Existing approaches often rely...
arXiv:2601.17490v2 Announce Type: replace-cross Abstract: We introduce a framework for constructing fractal trees via analytic generator fields, replacing discrete affine transformations and symbolic rewriting rules...
arXiv:2601.20197v2 Announce Type: replace-cross Abstract: Finite mixture models are widely used in econometric analyses to capture unobserved heterogeneity. This paper shows that maximum likelihood estimation...
arXiv:2602.00197v2 Announce Type: replace-cross Abstract: Zero-shot mutation prediction is vital for low-resource protein engineering, yet existing protein language models (PLMs) often yield statistically confident results...
arXiv:2602.00989v2 Announce Type: replace-cross Abstract: Prediction sets can wrap around any ML model to cover unknown test outcomes with a guaranteed probability. Yet, it remains...
arXiv:2602.01377v2 Announce Type: replace-cross Abstract: Gaussian Mixture Models (GMMs) commonly arise in communication systems, particularly in bilinear joint estimation and detection problems. Although the product...
arXiv:2602.01861v2 Announce Type: replace-cross Abstract: Room impulse responses (RIRs) are essential for many acoustic signal processing tasks, yet measuring them densely across space is often...
arXiv:2602.01882v2 Announce Type: replace-cross Abstract: We provide explicit and polynomial bounds for the Homogeneous Wall Lemma which occurred for the first time implicitly in the...