Tootfinder

The QTF-Backbone: Proposal for a Nationwide Optical Fibre Backbone in Germany for Quantum Technology and Time and Frequency Metrology
Klaus Blaum (Max Planck Institute for Nuclear Physics), Peter Kaufmann (German National Research,Education Network, DFN), Jochen Kronj\"ager (Physikalisch-Technische Bundesanstalt), Stefan K\"uck (Physikalisch-Technische Bundesanstalt), Tara Cubel Liebisch (Physikalisch-Technische Bundesanstalt), Dieter Meschede (University of Bonn), Susanne Na…

The QTF-Backbone: Proposal for a Nationwide Optical Fibre Backbone in Germany for Quantum Technology and Time and Frequency Metrology
The recent breakthroughs in the distribution of quantum information and high-precision time and frequency (T&F) signals over long-haul optical fibre networks have transformative potential for physically secure communications, resilience of Global Navigation Satellite Systems (GNSS) and fundamental physics. However, so far these capabilities remain confined to isolated testbeds, with quantum and T&F signals accessible, for example in Germany, to only a few institutions. We propose the QTF-Back…

Glitch analysis and asteroseismic modelling of subgiant $\mu$ Herculis: confirming and interpreting the $\Gamma_1$ peak as the helium glitch
Advik Gupta, Kuldeep Verma, Hans Kjeldsen, Frank Grundahl, J{\o}rgen Christensen-Dalsgaard, Mark L. Winther, Jakob L. R{\o}rsted, Amalie Stokholm, V\'ictor Aguirre B{\o}rsen-Koch
https://arxiv.org…

Glitch analysis and asteroseismic modelling of subgiant $μ$ Herculis: confirming and interpreting the $Γ_1$ peak as the helium glitch
The measurements of pressure-mode and mixed-mode oscillation frequencies in subgiant stars offer a unique opportunity to probe their internal structures -- from the surface to the deep interior -- and to precisely determine their global properties. We have conducted a detailed asteroseismic analysis of the benchmark subgiant $μ$ Herculis using eight seasons of radial velocity observations from the SONG telescope, and have determined its mass, radius, age, and surface helium abundance to be $1.…

Beyond Words: Interjection Classification for Improved Human-Computer Interaction
Yaniv Goren, Yuval Cohen, Alexander Apartsin, Yehudit Aperstein
https://arxiv.org/abs/2509.03181

Beyond Words: Interjection Classification for Improved Human-Computer Interaction
In the realm of human-computer interaction, fostering a natural dialogue between humans and machines is paramount. A key, often overlooked, component of this dialogue is the use of interjections such as "mmm" and "hmm". Despite their frequent use to express agreement, hesitation, or requests for information, these interjections are typically dismissed as "non-words" by Automatic Speech Recognition (ASR) engines. Addressing this gap, we introduce a novel task dedicated to interjection classifica…

Temperature and Magnetic-Field Dependence of Energy Relaxation in a Fluxonium Qubit
Lamia Ateshian, Max Hays, David A. Rower, Helin Zhang, Kate Azar, R\'eouven Assouly, Leon Ding, Michael Gingras, Hannah Stickler, Bethany M. Niedzielski, Mollie E. Schwartz, Terry P. Orlando, Joel \^I-j. Wang, Simon Gustavsson, Jeffrey A. Grover, Kyle Serniak, William D. Oliver

Temperature and Magnetic-Field Dependence of Energy Relaxation in a Fluxonium Qubit
Noise from material defects at device interfaces is known to limit the coherence of superconducting circuits, yet our understanding of the defect origins and noise mechanisms remains incomplete. Here we investigate the temperature and in-plane magnetic-field dependence of energy relaxation in a low-frequency fluxonium qubit, where the sensitivity to flux noise and charge noise arising from dielectric loss can be tuned by applied flux. We observe an approximately linear scaling of flux noise wit…

Benchmarking and Studying the LLM-based Code Review
Zhengran Zeng, Ruikai Shi, Keke Han, Yixin Li, Kaicheng Sun, Yidong Wang, Zhuohao Yu, Rui Xie, Wei Ye, Shikun Zhang
https://arxiv.org/abs/2509.01494 …

Benchmarking and Studying the LLM-based Code Review
Automated Code Review (ACR) is crucial for software quality, yet existing benchmarks often fail to reflect real-world complexities, hindering the evaluation of modern Large Language Models (LLMs). Current benchmarks frequently focus on fine-grained code units, lack complete project context, and use inadequate evaluation metrics. To address these limitations, we introduce SWRBench , a new benchmark comprising 1000 manually verified Pull Requests (PRs) from GitHub, offering PR-centric review with…

Narrow-linewidth, piezoelectrically tunable photonic integrated blue laser
Anat Siddharth, Asger B. Gardner, Xinru Ji, Shivaprasad U. Hulyal, Mikael S. Reichler, Alaina Attanasio, Johann Riemensberger, Sunil A. Bhave, Nicolas Volet, Simone Bianconi, Tobias J. Kippenberg
https://arxiv.org/abs/2508.02568…

Narrow-linewidth, piezoelectrically tunable photonic integrated blue laser
Frequency-agile lasers operating in the ultraviolet-to-blue spectral range (360-480 nm) are critical enablers for a wide range of technologies, including free-space and underwater optical communications, optical atomic clocks, and Rydberg-atom-based quantum computing platforms. Integrated photonic lasers offer a compelling platform for these applications by combining low-noise performance with fast frequency tuning in a compact, robust form factor through monolithic integration. However, realiz…

Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models
Yi Liao, Yu Gu, Yuan Sui, Zining Zhu, Yifan Lu, Guohua Tang, Zhongqian Sun, Wei Yang
https://arxiv.org/abs/2508.21365

Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models
Large language models (LLMs) excel at complex reasoning tasks such as mathematics and coding, yet they frequently struggle with simple interactive tasks that young children perform effortlessly. This discrepancy highlights a critical gap between declarative knowledge (knowing about something) and procedural knowledge (knowing how to do something). Although traditional reinforcement learning (RL) agents can acquire procedural knowledge through environmental interaction, they often operate as bla…

Revisiting Noise-adaptive Transpilation in Quantum Computing: How Much Impact Does it Have?
Yuqian Huo, Jinbiao Wei, Christopher Kverne, Mayur Akewar, Janki Bhimani, Tirthak Patel
https://arxiv.org/abs/2507.01195

Revisiting Noise-adaptive Transpilation in Quantum Computing: How Much Impact Does it Have?
Transpilation, particularly noise-aware optimization, is widely regarded as essential for maximizing the performance of quantum circuits on superconducting quantum computers. The common wisdom is that each circuit should be transpiled using up-to-date noise calibration data to optimize fidelity. In this work, we revisit the necessity of frequent noise-adaptive transpilation, conducting an in-depth empirical study across five IBM 127-qubit quantum computers and 16 diverse quantum algorithms. Our…

Exploring Dynamic Parameters for Vietnamese Gender-Independent ASR
Sotheara Leang (CADT, M-PSI), \'Eric Castelli (M-PSI), Dominique Vaufreydaz (M-PSI), Sethserey Sam (CADT)
https://arxiv.org/abs/2507.22964

Exploring Dynamic Parameters for Vietnamese Gender-Independent ASR
The dynamic characteristics of speech signal provides temporal information and play an important role in enhancing Automatic Speech Recognition (ASR). In this work, we characterized the acoustic transitions in a ratio plane of Spectral Subband Centroid Frequencies (SSCFs) using polar parameters to capture the dynamic characteristics of the speech and minimize spectral variation. These dynamic parameters were combined with Mel-Frequency Cepstral Coefficients (MFCCs) in Vietnamese ASR to capture …

A note on multivariate diam mean equicontinuity and frequent stability
Lino Haupt, Tobias J\"ager, Chunlin Liu
https://arxiv.org/abs/2506.23313 https:…

A note on multivariate diam mean equicontinuity and frequent stability
Let $(X,G)$ be a topological dynamical system, given by the action of a is a countable discrete infinite group on a compact metric space $X$. We prove that if $(X,G)$ is minimal, then it is either diam-mean $m$-equicontinuious or diam-mean $m$-sensitive. Similarly, $(X,G)$ is either frequently $m$-stable or strongly $m$-spreading. Further, when $G$ is abelian (or, more generally, virtually nilpotent), then the following statements are equivalent: $\bullet$ $(X,G)$ is a regular $m$-to-one exte…