Tootfinder

Hey @… I was just listening to the great literary olfactoloy episode with @allylouks.bsky.social€, but I feel that the existence/role of human pheromones has been a bit misrepresented.
I have worked on mammalian pheromones for my PhD, and I have encountered (at least) two major definitions of the term "pheromone", one based on the function of a substance, and the other, which I personally prefer, on the information flow involved in it (https://doi.org/10.1159/000096511).
Based on the Sbarbati & Osculati definition, a pheromone would be a component that conveys information between individuals of the same species.
There is also quite a bit of research that argues for the existence of human pheromones (e.g. https://doi.org/10.1002/ar.a.20125, https://doi.org/10.1002/ar.a.20125, https://doi.org/10.1126/science.1198331)
However, the discussion on the existence of human pheromones is difficult, as it touches on the topic of free will as many reactions to odor are involuntary. During the International Symposium on Olfaction and Taste held in Iceland in 2024, there have been several session on human olfaction touching on sensitive aspects such as olfaction-mediated effects on mate choice and pregnancy, but none of the researchers dared utter the word pheromone, while colleagues working on other mammals where happily talking about pheromonal effects for very similar topics.
Long story short, I feel that saying there is no hard evidence for human pheromones is misrepresenting the current research.

"""
Writing has been an instrument for some of the highest expressions of the human spirit: poetry, philosophy, science. But to understand it — why it came into being, how it changed the human experience — we have to first appreciate its crass practicality. It evolved mainly as an instrument of the mundane: the economic, the administrative, the political.
Confusion over this point is understandable. Some scholars have equated the origin of “civilization” with the origin of writing. Laypeople sometimes take this equation to mean that with writing humanity put aside its barbarous past and started behaving in gentlemanly fashion, sipping tea and remembering to say “please.” And indeed, this may be only a mild caricature of what some nineteenth-century scholars actually meant by the equation: writing equals Greece equals Plato; illiteracy equals barbarism equals Attila the Hun.
But, in truth, if you add literacy to Attila the Hun, you don’t get Plato. You get Genghis Khan. During the thirteenth century, he administered what even today is the largest continuous land empire in the history of the world. And he could do so only because he had the requisite means of control: a script that, when carried by his pony express, amounted to the fastest large-scale information-processing technology of his era. One consequence was to give pillaging a scope beyond Attila’s wildest dreams. Information technology, like energy technology or any other technology, can be a tool for good or bad. By itself, it is no guarantor of moral progress or civility.
"""
(Robert Wright, Nonzero: The Logic of Human Destiny)

Why do women pursue a PhD in Computer Science?
Erika \'Abrah\'am, Miguel Goul\~ao, Milena Vujo\v{s}evi\'c Jani\v{c}i\'c, Sarah Jane Delany, Amal Mersni, Oleksandra Yeremenko, Ozge Buyukdagli, Karima Boudaoud, Caroline Oehlhorn, Ute Schmid, Christina B\"using, Helen Bolke-Hermanns, Kaja K\"ohnle, Matilde Pato, Deniz Sunar Cerci, Larissa Schmid

Why do women pursue a PhD in Computer Science?
Computer science attracts few women, and their proportion decreases through advancing career stages. Few women progress to PhD studies in CS after completing master's studies. Empowering women at this stage in their careers is essential to unlock untapped potential for society, industry and academia. This paper identifies students' career assumptions and information related to PhD studies focused on gender-based differences. We propose a Women Career Lunch program to inform female master studen…

Please don't call it "politicized science". What #RFKjr and his ilk are doing is not science. Science does not discard data that disagrees with the researchers desired outcomes.
They are purposefully ignoring and hiding any information that contradicts their beliefs. That is not science, that is censorship and lies in favor of an ideology.

Please don't call it "politicized science". What #RFKjr and his ilk are doing is not science. Science does not discard data that disagrees with the researchers desired outcomes.
They are purposefully ignoring and hiding any information that contradicts their beliefs. That is not science, that is censorship and lies in favor of an ideology.

What is "Spatial" about Spatial Computing?
Yibo Wang, Yuhan Luo, Janghee Cho, Junnan Yu
https://arxiv.org/abs/2508.20477 https://arxiv.org/pdf/25…

What is "Spatial" about Spatial Computing?
Recent advancements in geographic information systems and mixed reality technologies have positioned spatial computing as a transformative paradigm in computational science. However, the field remains conceptually fragmented, with diverse interpretations across disciplines like Human-Computer Interaction, Geographic Information Science, and Computer Science, which hinders a comprehensive understanding of spatial computing and poses challenges for its coherent advancement and interdisciplinary i…

Hierarchy of entanglement detection criteria for random high-dimensional states
Akhil Kumar Awasthi, Sudipta Mondal, Rivu Gupta, Aditi Sen De
https://arxiv.org/abs/2507.21787 ht…

Hierarchy of entanglement detection criteria for random high-dimensional states
Entanglement is a cornerstone in quantum information science, yet detecting it efficiently remains a challenging task. Focusing on non-positive partially transposed (NPT) states, we establish a hierarchy among entropy-based, majorization, realignment, and reduction criteria for Haar uniformly generated random states in finite dimensions, analyzing their performance based on rank and subsystem dimension. We prove lower bounds on the rank of mixed quantum states beyond which the realignment and e…

Series B, Episode 02 - Shadow
ORAC: The bridge is complete.
VILA: What? What did he say?
GAN: Something's wrong.
VILA: No, that wasn't it.
ZEN: Information. Liberator is losing power from all systems. Orbital maintenance is threatened.
https://blake.torpidity.net/m/202/555

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

aLLoyM: A large language model for alloy phase diagram prediction
Yuna Oikawa, Guillaume Deffrennes, Taichi Abe, Ryo Tamura, Koji Tsuda
https://arxiv.org/abs/2507.22558 https://…

aLLoyM: A large language model for alloy phase diagram prediction
Large Language Models (LLMs) are general-purpose tools with wide-ranging applications, including in materials science. In this work, we introduce aLLoyM, a fine-tuned LLM specifically trained on alloy compositions, temperatures, and their corresponding phase information. To develop aLLoyM, we curated question-and-answer (Q&A) pairs for binary and ternary phase diagrams using the open-source Computational Phase Diagram Database (CPDDB) and assessments based on CALPHAD (CALculation of PHAse Diagr…

Boosting Ensembles for Statistics of Tails at Conditionally Optimal Advance Split Times
Justin Finkel, Paul A. O'Gorman
https://arxiv.org/abs/2507.22310 https://

Boosting Ensembles for Statistics of Tails at Conditionally Optimal Advance Split Times
Climate science needs more efficient ways to study high-impact, low-probability extreme events, which are rare by definition and costly to simulate in large numbers. Rare event sampling (RES) and ensemble boosting offer a novel strategy to extract more information from those occasional simulated events: small perturbations in advance can turn a moderate event into a severe one, which otherwise might not come for many more simulation-years. But how to choose this ``advance split time'' (AST) rem…

GDS Agent: A Graph Algorithmic Reasoning Agent
Borun Shi, Ioannis Panagiotas
https://arxiv.org/abs/2508.20637 https://arxiv.org/pdf/2508.20637

GDS Agent: A Graph Algorithmic Reasoning Agent
Large language models (LLMs) have shown remarkable multimodal information processing and reasoning ability. When equipped with tools through function calling and enhanced with retrieval-augmented techniques, compound LLM-based systems can access closed data sources and answer questions about them. However, they still struggle to process and reason over large-scale graph-structure data. We introduce the GDS (Graph Data Science) agent in this technical report. The GDS agent introduces a comprehen…

Replaced article(s) found for physics.ed-ph. https://arxiv.org/list/physics.ed-ph/new
[1/1]:
- Evaluation of a Virtual Laboratory Platform in General Education on Quantum Information Science
Hongbin Song

(PDF) Guiding sightless people one dimension at a time: how the strategy used in spontaneous voice instructions benefits sonification-based guidance https://hal.science/hal-05165934v1 On sensory substitution for the blind

Supervised Quantum Image Processing
Marco Parigi, Mehran Khosrojerdi, Filippo Caruso, Leonardo Banchi
https://arxiv.org/abs/2507.22039 https://arxiv.org/pd…

Supervised Quantum Image Processing
In the era of big data and artificial intelligence, the increasing volume of data and the demand to solve more and more complex computational challenges are two driving forces for improving the efficiency of data storage, processing and analysis. Quantum image processing (QIP) is an interdisciplinary field between quantum information science and image processing, which has the potential to alleviate some of these challenges by leveraging the power of quantum computing. In this work, we compare …

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures
Mufakir Qamar Ansari (Department of Electrical Engineering and Computer Science, The University of Toledo, Toledo, OH, USA), Mudabir Qamar Ansari (Department of School of Accounting and Information Systems, Lamar University, Beaumont, TX, USA)
https://

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures
The paradigm shift towards multi-core and heterogeneous computing, driven by the fundamental power and thermal limits of single-core processors, has established energy efficiency as a first-class design constraint in high-performance computing (HPC). Heterogeneous systems, integrating traditional multi-core CPUs with specialized accelerators like discrete (dGPU) and integrated (iGPU) graphics processing units, offer a compelling path to navigating the trade-offs between performance and power. H…

#neu: "Handbook of Trends and Innovations Concerning Library and Information Science: A Multidisciplinary Approach"
https://doi.org/10.1515/9783111443003

Towards a fundamental theory of modeling discrete systems
Peter Fettke, Wolfgang Reisig
https://arxiv.org/abs/2508.19803 https://arxiv.org/pdf/2508.19803…

Towards a fundamental theory of modeling discrete systems
Modeling is a central concern in both science and engineering. However, we need a new fundamental theory to address the challenges of the digital age. In this paper, we first explain why modeling is fundamental and which challenges must be addressed in the digital world. As a main contribution, we introduce the Heraklit modeling framework as a new approach to modeling. We conclude with some general remarks. Future work will involve the correctness of modeling, the notion of information, and the…

Metadata Enrichment of Long Text Documents using Large Language Models
Manika Lamba, You Peng, Sophie Nikolov, Glen Layne-Worthey, J. Stephen Downie
https://arxiv.org/abs/2506.20918

Metadata Enrichment of Long Text Documents using Large Language Models
In this project, we semantically enriched and enhanced the metadata of long text documents, theses and dissertations, retrieved from the HathiTrust Digital Library in English published from 1920 to 2020 through a combination of manual efforts and large language models. This dataset provides a valuable resource for advancing research in areas such as computational social science, digital humanities, and information science. Our paper shows that enriching metadata using LLMs is particularly benef…

Israeli cyber and computer science experts phished by Iran-linked APT42 https://therecord.media/israel-cyber-experts-computer-scientists-phished-iran

Stability of many-body localization in two dimensions
Junhyeok Hur, Joey Li, Byungjin Lee, Kiryang Kwon, Minseok Kim, Samgyu Hwang, Sumin Kim, Yong Soo Yu, Amos Chan, Thorsten Wahl, Jae-yoon Choi
https://arxiv.org/abs/2508.20699

Stability of many-body localization in two dimensions
Disordered quantum many-body systems pose one of the central challenges in condensed matter physics and quantum information science, as their dynamics are generally intractable for classical computation. Many-body localization (MBL), hypothesized to evade thermalization indefinitely under strong disorder, exemplifies this difficulty. Here, we study the stability of MBL in two dimensions using ultracold atoms in optical lattices with variable system sizes up to $24\times 24$ sites, well beyond t…

I am super-pleased to be serving on the PC of the excellent and much-needed "Undone Science in CS" 2026: "to provide an opportunity to pause and reflect on the epistemological and ethical aspects of computer science". For much more information, please see:
https://www.undonecs.org/2026/…

OK, this seems interesting.
https://delightful.coding.social/delightful-fediverse-experience/

delightful fediverse experience
Delightful curated lists of free software, open science and information sources.

Face to face with solar telescopes, meteorites and exoplanets: For the 6th Night of Science on June 21st 2025 in Göttingen, the MPI for Solar System Research is offering a full program of hands-on activities, lectures, guided tours, and unique exhibits.
Infos by MPS: https://www.mps.mpg.de/night-of-science-20

ein ernüchternder Befund aus einer MA-Arbeit zum Rechercheverhalten von SF- und Fantasy-Autor:innen: öffentliche #Bibliotheken, #Archhive und #Museen auf derselben Stufe wie der betrunkene On…

Towards a general diffusion-based information quality assessment model
Anthony Lopes Temporao, Mickael Temporao, Corentin Vande Kerckhove, Flavio Abreu Araujo
https://arxiv.org/abs/2508.13927

Towards a general diffusion-based information quality assessment model
The rapid and unregulated dissemination of information in the digital era has amplified the global "infodemic," complicating the identification of high quality information. We present a lightweight, interpretable and non-invasive framework for assessing information quality based solely on diffusion dynamics, demonstrated here in the context of academic publications. Using a heterogeneous dataset of 29,264 sciences, technology, engineering, mathematics (STEM) and social science papers from Arnet…

They just opened the door at the new CS and Information Science building across the street this Monday, Tuesday I brought my wide angle Zeiss over
#photo #photography #cs

A Variational Quantum Algorithm for Entanglement Quantification
Lucas Friedrich, Marcos L. W. Basso, Alberto B. P. Junior, Joab M. Varela, Leandro Morais, Rafael Chaves, Jonas Maziero
https://arxiv.org/abs/2507.20813

A Variational Quantum Algorithm for Entanglement Quantification
Quantum entanglement is a foundational resource in quantum information science, underpinning applications across physics. However, detecting and quantifying entanglement remains a significant challenge. Here, we introduce a variational quantum algorithm inspired by Uhlmann's theorem to quantify the Bures entanglement of general quantum states, a method that naturally extends to other quantum resources, including genuine multipartite entanglement, quantum discord, quantum coherence, and total co…

A continuous-wave vacuum ultraviolet laser for the nuclear clock
Qi Xiao, Gleb Penyazkov, Xiangliang Li, Beichen Huang, Wenhao Bu, Juanlang Shi, Haoyu Shi, Tangyin Liao, Gaowei Yan, Haochen Tian, Yixuan Li, Jiatong Li, Bingkun Lu, Li You, Yige Lin, Yuxiang Mo, Shiqian Ding
https://arxiv.org/abs/2507.19449 https://arxiv.org/pdf/2507.19449 https://arxiv.org/html/2507.19449
arXiv:2507.19449v1 Announce Type: new
Abstract: The exceptionally low-energy isomeric transition in $^{229}$Th at around 148.4 nm offers a unique opportunity for coherent nuclear control and the realisation of a nuclear clock. Recent advances, most notably the incorporation of large ensembles of $^{229}$Th nuclei in transparent crystals and the development of pulsed vacuum-ultraviolet (VUV) lasers, have enabled initial laser spectroscopy of this transition. However, the lack of an intense, narrow-linewidth VUV laser has precluded coherent nuclear manipulation. Here we introduce and demonstrate the first continuous-wave laser at 148.4 nm, generated via four-wave mixing (FWM) in cadmium vapor. The source delivers 100 nW of power with a linewidth well below 100 Hz and supports broad wavelength tunability. This represents a five-orders-of-magnitude improvement in linewidth over all previous single-frequency lasers below 190 nm, marking a major advance in laser technology. We develop a spatially resolved homodyne technique to place a stringent upper bound on the phase noise induced by the FWM process and demonstrate sub-hertz linewidth capability. These results eliminate the final technical hurdle to a $^{229}$Th-based nuclear clock, opening new directions in quantum metrology, nuclear quantum optics and precision tests of the Standard Model. More broadly, they establish a widely tunable, ultranarrow-linewidth laser platform for applications across quantum information science, condensed matter physics, and high-resolution VUV spectroscopy.
toXiv_bot_toot

"Applications of the Critical Incident Technique in Library and Information Science Research: A Literature Review" https://doi.org/10.1515/libri-2024-0065

Prediction of EDS Maps from 4DSTEM Diffraction Patterns Using Convolutional Neural Networks
Mridul Kumar, Yevgeny Rakita
https://arxiv.org/abs/2508.20657 https://

Prediction of EDS Maps from 4DSTEM Diffraction Patterns Using Convolutional Neural Networks
Understanding the relationship between atomic structure (order) and chemical composition (chemistry) is critical for advancing materials science, yet traditional spectroscopic techniques can be slow and damaging to sensitive samples. Four-dimensional scanning transmission electron microscopy (4D-STEM) captures detailed diffraction patterns across scanned regions, providing rich structural information, while energy dispersive X-ray spectroscopy (EDS) offers complementary chemical data. In this w…

Orbital chiral lasing in twisted bilayer metasurfaces
Mingjin Wang (Laboratory of Solid State Optoelectronics Information Technology, Institute of Semiconductors, CAS, Beijing, China, Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, China, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China, College of Future Technology, University of Chinese Academy of Sciences, Beijing, China…

Orbital chiral lasing in twisted bilayer metasurfaces
Chirality is a fundamental concept in physics that underpins various phenomena in nonlinear optics, quantum physics, and topological photonics. Although the spin of a photon naturally brings chirality, orbital angular momentum can also become chirally active in the structures with a broken mirror symmetry. Here, we observe orbital chiral lasing from a twisted bilayer photonic structure leveraging its inherent structural chirality. Specifically, we design and fabricate a Moire-type optical struc…

Time Series Information Visualization -- A Review of Approaches and Tools
Evandro S. Ortigossa, F\'abio F. Dias, Diego C. Nascimento, Luis Gustavo Nonato
https://arxiv.org/abs/2507.14920

Time Series Information Visualization -- A Review of Approaches and Tools
Time series data are prevalent across various domains and often encompass large datasets containing multiple time-dependent features in each sample. Exploring time-varying data is critical for data science practitioners aiming to understand dynamic behaviors and discover periodic patterns and trends. However, the analysis of such data often requires sophisticated procedures and tools. Information visualization is a communication channel that leverages human perceptual abilities to transform abs…

Combined machine learning for stock selection strategy based on dynamic weighting methods
Lin Cai (Department of Statistics, Columbia University, New York, USA), Zhiyang He (Department of Engineering and Informatics, University of Sussex, Brighton, UK), Caiya Zhang (Department of Statistics and Data Science, Hangzhou City University, Hangzhou, China)
https://…

Combined machine learning for stock selection strategy based on dynamic weighting methods
This paper proposes a novel stock selection strategy framework based on combined machine learning algorithms. Two types of weighting methods for three representative machine learning algorithms are developed to predict the returns of the stock selection strategy. One is static weighting based on model evaluation metrics, the other is dynamic weighting based on Information Coefficients (IC). Using CSI 300 index data, we empirically evaluate the strategy' s backtested performance and model predic…

Tuning the Surface States of $Fe_3O_4$ Nanoparticles for Enhanced Magnetic Anisotropy and Induction Efficacy
Kyle A. Portwin (Institute for Superconducting and Electronic Materials, Faculty of Engineering and Information Science, University of Wollongong, North Wollongong, Australia, School of Physics, Faculty of Engineering and Information Science, University of Wollongong, Wollongong, Australia), Pablo Galaviz (Australian Centre for Neutron Scattering, Australian Nuclear Science and …

Tuning the Surface States of $Fe_3O_4$ Nanoparticles for Enhanced Magnetic Anisotropy and Induction Efficacy
Magnetite ($Fe_3O_4$) nanoparticles are crucial for biomedical applications, including magnetic hyperthermia, targeted drug delivery, and MRI contrast enhancement, due to their biocompatibility and unique physicochemical properties. Here, we investigate how surface states influence their induction performance. Heat treatment removes surface water and FeOOH, forming a $γ$-$Fe_2O_3$ shell, as confirmed by synchrotron powder diffraction, neutron powder diffraction, thermogravimetric analysis, X-r…

QISCIT: A validated concept inventory assessment for quantum information science
Kelley Durkin, Manshuo Lin, Michael H. Kolodrubetz, Ryan P. McMahan
https://arxiv.org/abs/2506.17122

QISCIT: A validated concept inventory assessment for quantum information science
Quantum information science (QIS) is a critical interdisciplinary field that requires a well-educated workforce in the near future. Numerous researchers and educators have been actively investigating how to best educate and prepare such a workforce. An open issue has been the lack of a validated tool to asses QIS understanding without requiring college-level math. In this paper, we present the systematic development and content validation of a new assessment instrument called the Quantum Inform…

What Does Information Science Offer for Data Science Research?: A Review of Data and Information Ethics Literature
Brady D. Lund, Ting Wang
https://arxiv.org/abs/2506.03165

What Does Information Science Offer for Data Science Research?: A Review of Data and Information Ethics Literature
This paper reviews literature pertaining to the development of data science as a discipline, current issues with data bias and ethics, and the role that the discipline of information science may play in addressing these concerns. Information science research and researchers have much to offer for data science, owing to their background as transdisciplinary scholars who apply human-centered and social-behavioral perspectives to issues within natural science disciplines. Information science resea…

The Relationship between Cognition and Computation: "Global-first" Cognition versus Local-first Computation
Lin Chen
https://arxiv.org/abs/2506.17970

The Relationship between Cognition and Computation: "Global-first" Cognition versus Local-first Computation
What fundamental research questions are essential for advancing toward brain-like AI or AGI (Artificial General Intelligence) capable of performing any intellectual task a human can? Should it be something like the Turing machine (1936), which answers the question "What is computation?" and lays the foundation for the entire field of computer science? Or should it be something like Shannon's mathematical theory of communication (1948), which answers the question "What is information?" and forms…

This https://arxiv.org/abs/2505.13182 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

Information Science Principles of Machine Learning: A Causal Chain Meta-Framework Based on Formalized Information Mapping
[Objective] This study focuses on addressing the current lack of a unified formal theoretical framework in machine learning, as well as the deficiencies in interpretability and ethical safety assurance. [Methods] A formal information model is first constructed, utilizing sets of well-formed formulas to explicitly define the ontological states and carrier mappings of typical components in machine learning. Learnable and processable predicates, along with learning and processing functions, are in…

DRKF: Decoupled Representations with Knowledge Fusion for Multimodal Emotion Recognition
Peiyuan Jiang (School of Computer Science,Engineering, University of Electronic Science,Technology of China), Yao Liu (School of Information,Software Engineering, University of Electronic Science,Technology of China), Qiao Liu (School of Computer Science,Engineering, University of Electronic Science,Technology of China), Zongshun Zhang (School of Computer Science,Engineering, University of Electron…

DRKF: Decoupled Representations with Knowledge Fusion for Multimodal Emotion Recognition
Multimodal emotion recognition (MER) aims to identify emotional states by integrating and analyzing information from multiple modalities. However, inherent modality heterogeneity and inconsistencies in emotional cues remain key challenges that hinder performance. To address these issues, we propose a Decoupled Representations with Knowledge Fusion (DRKF) method for MER. DRKF consists of two main modules: an Optimized Representation Learning (ORL) Module and a Knowledge Fusion (KF) Module. ORL e…

Replaced article(s) found for cs.CE. https://arxiv.org/list/cs.CE/new
[1/1]:
- Graph topology estimation of power grids using pairwise mutual information of time series data
Daniel T. Speckhard

Learning Reaction-Diffusion Kinetics from Mechanical Information
Royal C. Ihuaenyi, Hongbo Zhao, Ruqing Fang, Ruobing Bai, Martin Z. Bazant, Juner Zhu
https://arxiv.org/abs/2508.17523

Learning Reaction-Diffusion Kinetics from Mechanical Information
A central challenge in materials science is characterizing chemical processes that are elusive to direct measurement, particularly in functional materials operating under realistic conditions. Here, we demonstrate that mechanical strain fields contain sufficient information to reconstruct hidden chemical kinetics in coupled chemomechanical systems. Our partial differential equation-constrained learning framework decodes concentration-dependent diffusion kinetics, thermodynamic driving forces, a…

Our partner conference, MICES – Mix-Camp E-Commerce Search, takes place on June 18th at TUECHTIG in Berlin. Focusing on e-commerce search, MICES brings together experts from various fields such as IT, product management, UX design, search management, information retrieval, data science and search engine vendors to discuss challenges, share ideas, best practices and case studies in e-commerce search.
Register for free and learn more here:

Network evolution analysis: a usage-centric approach applied on cycling infrastructure
https://josis.org/index.php/josis/article/view/379

"Reflections on CoLIS 2025" [International Conference on Concepts of Library and Information Science] https://libraryblogs.is.ed.ac.uk/datablog/2025/07/16/reflections-on-colis-2025/

Ideometrics: The Science of Generating, Evaluating and Prioritising Ideas
Igor Rudan, Aziz Sheikh
https://arxiv.org/abs/2508.08304 https://arxiv.org/pdf/25…

Ideometrics: The Science of Generating, Evaluating and Prioritising Ideas
This paper introduces and outlines a new integrative field, Ideometrics. It is the systematic science of generating, evaluating, and prioritising ideas, based on the proposed sense of ideas and assigning value to information by the brain. Drawing on the structure based on the three fundamental aims, our work maps out the landscape of more than 70 methodologies that were applied to address those three aims across time, disciplines, and epistemic paradigms. The part on generating ideas synthesise…

Potential science with GW250114 -- the loudest binary black hole merger detected to date
Aleyna Aky\"uz, Alex Correia, Jada Garofalo, Keisi Kacanja, Labani Roy, Kanchan Soni, Hung Tan, Vikas Jadhav Y, Alexander H. Nitz, Collin D. Capano
https://arxiv.org/abs/2507.08789

Potential science with GW250114 -- the loudest binary black hole merger detected to date
On January 14, 2025 the LIGO interferometers detected a gravitational wave from the merger of two black holes, GW250114. Using publicly available information, we estimate that the signal-to-noise ratio (SNR) of GW250114 was $\sim 80$. This would make it three to four times louder than any other gravitational wave detected to date. GW250114 therefore offers a unique opportunity to make precise measurements of its source parameters and to test general relativity. In anticipation of its public dat…

Nonequilibrium protein complexes as molecular automata
Jan Kocka, Kabir Husain, Jaime Agudo-Canalejo
https://arxiv.org/abs/2508.15603 https://arxiv.org/pdf…

Nonequilibrium protein complexes as molecular automata
Biology stores information and computes at the molecular scale, yet the ways in which it does so are often distinct from human-engineered computers. Mapping biological computation onto architectures familiar to computer science remains an outstanding challenge. Here, inspired by Crick's proposal for molecular memory, we analyse a thermodynamically-consistent model of a protein complex subject to driven, nonequilibrium enzymatic reactions. In the strongly driven limit, we find that the system ma…

Replaced article(s) found for cs.GT. https://arxiv.org/list/cs.GT/new
[1/1]:
Online Learning for Equilibrium Pricing in Markets under Incomplete Information

Industry Insights into Quantum Knowledge Needed for the Quantum Information Science and Engineering Workforce
A. R. Pina, Shams El-Adawy, H. J. Lewandowski, Benjamin M. Zwickl
https://arxiv.org/abs/2508.15039

Industry Insights into Quantum Knowledge Needed for the Quantum Information Science and Engineering Workforce
Quantum Information Science and Engineering (QISE) education and workforce development are top priorities at the national level in the US. This has included a push for academia to support the development of programs that will prepare students to enter the QISE workforce. As the field of QISE has grown rapidly in academia and industry, there is a need to better understand what quantum knowledge is needed for students to be ready for the workforce. We present preliminary findings on the level of …

Computational-Statistical Tradeoffs from NP-hardness
Guy Blanc, Caleb Koch, Carmen Strassle, Li-Yang Tan
https://arxiv.org/abs/2507.13222 https://

Computational-Statistical Tradeoffs from NP-hardness
A central question in computer science and statistics is whether efficient algorithms can achieve the information-theoretic limits of statistical problems. Many computational-statistical tradeoffs have been shown under average-case assumptions, but since statistical problems are average-case in nature, it has been a challenge to base them on standard worst-case assumptions. In PAC learning where such tradeoffs were first studied, the question is whether computational efficiency can come at th…

Triangular instability of a strained Batchelor vortex
A. S. P. Ayapilla (Graduate School of Information Sciences, Tohoku University, Sendai, Japan), Y. Hattori (Institute of Fluid Science, Tohoku University, Sendai, Japan), S. Le Diz\`es (Aix Marseille Universit\'e, CNRS, Centrale M\'editerran\'ee, IRPHE, Marseille, France)
https://

Triangular instability of a strained Batchelor vortex
We investigate the triangular instability of a Batchelor vortex subjected to a stationary triangular strain field generated by three satellite vortices, in the presence of weak axial flow. The analysis combines theoretical predictions with numerical simulations. Theoretically, the instability arises from resonant coupling between two quasi-neutral Kelvin modes with azimuthal wavenumbers $m$ and $m+3$ with the background strain. Numerically, we solve the linearized Navier-Stokes equations around…

A catalog to unite them all: REGALADE, a revised galaxy compilation for the advanced detector era
Hugo Tranin, Nadejda Blagorodnova, Marco A. G\'omez-Mu\~noz, Maxime Wavasseur, Paul J. Groot, Lloyd Landsberg, Fiorenzo Stoppa, Steven Bloemen, Paul M. Vreeswijk, Dani\"elle L. A. Pieterse, Jan van Roestel, Simone Scaringi, Sara Faris
https://

A catalog to unite them all: REGALADE, a revised galaxy compilation for the advanced detector era
Many applications in transient science, gravitational wave follow-up, and galaxy population studies require all-sky galaxy catalogs with reliable distances, extents, and stellar masses. However, existing catalogs often lack completeness beyond $\sim 100$ Mpc, suffer from stellar contamination, or do not provide homogeneous stellar mass estimates and size information. Our goal is to build a high-purity, high-completeness, all-sky galaxy catalog out to 2,000 Mpc, specifically designed to support …

DNA Probe Computing System for Solving NP-Complete Problems
Jin Xu, XiaoLong Shi, Xin Chen, Fang Wang, Sirui Li, Pali Ye, Boliang Zhang, Di Deng, Zheng Kou, Xiaoli Qiang
https://arxiv.org/abs/2507.12470

DNA Probe Computing System for Solving NP-Complete Problems
Efficiently solving NP-complete problems-such as protein structure prediction, cryptographic decryption, and vulnerability detection-remains a central challenge in computer science. Traditional electronic computers, constrained by the Turing machine's one-dimensional data processing and sequential operations, struggle to address these issues effectively. To overcome this bottleneck, computational models must adopt multidimensional data structures and parallel information processing mechanisms. …

Microservices and Real-Time Processing in Retail IT: A Review of Open-Source Toolchains and Deployment Strategies
Aaditaa Vashisht (Department of Information Science,Engineering, RV College of Engineering, India), Rekha B S (Department of Information Science,Engineering, RV College of Engineering, India)
https://arxiv.org/abs/25…

Microservices and Real-Time Processing in Retail IT: A Review of Open-Source Toolchains and Deployment Strategies
With the rapid pace of digital transformation, the retail industry is increasingly depending on real-time, scalable, and resilient systems to manage financial transactions, analyze customer behavior, and streamline order processing. This literature review explores how modern event-driven and microservices-based architectures, particularly those leveraging Apache Kafka, Spring Boot, MongoDB, and Kubernetes are transforming retail and financial systems. By systematically reviewing academic public…

STFT-based Time-Frequency Mode Decomposition: A Fast and Robust Method for Multicomponent Signal Analysis
Wei Zhou, Wei-Jian Li, Wei-Xin Ren
https://arxiv.org/abs/2507.11919

STFT-based Time-Frequency Mode Decomposition: A Fast and Robust Method for Multicomponent Signal Analysis
The decomposition of complex, multicomponent, and non-stationary signals into their constituent modes is a fundamental yet significant challenge in science and engineering. Existing methods often struggle with a trade-off among accuracy, computational cost, and the need for prior information such as the number of modes. This paper introduces time-frequency mode decomposition (TFMD), a novel framework for the fast, robust, and adaptive decomposition of such signals. TFMD operates on the principl…

Efficient quantum state tomography with auxiliary systems
Wenlong Zhao, Da Zhang, Huili Zhang, Haifeng Yu, Zhang-qi Yin
https://arxiv.org/abs/2507.16532 ht…

Efficient quantum state tomography with auxiliary systems
Quantum state tomography is a technique in quantum information science used to reconstruct the density matrix of an unknown quantum state, providing complete information about the quantum state. It is of significant importance in fields such as quantum computation, quantum communication, and quantum simulation. However, as the size of the quantum system increases, the number of measurement settings and sampling requirements for quantum state tomography grow exponentially with the number of qubi…

Retrodicting Chaotic Systems: An Algorithmic Information Theory Approach
Kamal Dingle, Boumediene Hamzi, Marcus Hutter, Houman Owhadi
https://arxiv.org/abs/2507.04780

Retrodicting Chaotic Systems: An Algorithmic Information Theory Approach
Making accurate inferences about data is a key task in science and mathematics. Here we study the problem of \emph{retrodiction}, inferring past values of a series, in the context of chaotic dynamical systems. Specifically, we are interested in inferring the starting value $x_0$ in the series $x_0,x_1,x_2,\dots,x_n$ given the value of $x_n$, and the associated function $f$ which determines the series as $f(x_i)=x_{i+1}$. Even in the deterministic case this is a challenging problem, due to mixin…

This https://arxiv.org/abs/2505.13182 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

Information Science Principles of Machine Learning: A Causal Chain Meta-Framework Based on Formalized Information Mapping
[Objective] This study focuses on addressing the current lack of a unified formal theoretical framework in machine learning, as well as the deficiencies in interpretability and ethical safety assurance. [Methods] A formal information model is first constructed, utilizing sets of well-formed formulas to explicitly define the ontological states and carrier mappings of typical components in machine learning. Learnable and processable predicates, along with learning and processing functions, are in…

This https://arxiv.org/abs/2102.00055 has been replaced.
link: https://scholar.google.com/scholar?q=a

Lower Bounds on Information Requirements for Causal Network Inference
Recovery of the causal structure of dynamic networks from noisy measurements has long been a problem of interest across many areas of science and engineering. Many algorithms have been proposed, but there is little work that compares the performance of the algorithms to converse bounds in a non-asymptotic setting. As a step to address this problem, this paper gives lower bounds on the error probability for causal network support recovery in a linear Gaussian setting. The bounds are based on Mon…

Red alert: Millions of "homeless" publications in Scopus should be resettled
Weishu Liu, Haifeng Wang
https://arxiv.org/abs/2508.18146 https://ar…

Red alert: Millions of "homeless" publications in Scopus should be resettled
Scopus is increasingly regarded as a high-quality and reliable data source for research and evaluation of scientific and scholarly activity. However, a puzzling phenomenon has been discovered occasionally: millions of records with author affiliation information collected in Scopus are oddly labeled as "country-undefined" by Scopus which is rarely to be detected in its counterpart Web of Science. This huge number of "homeless" records in Scopus is unacceptable for a widely used high-quality bibl…

Fine-Tuning Vision-Language Models for Markdown Conversion of Financial Tables in Malaysian Audited Financial Reports
Jin Khye Tan (Faculty of Computer Science,Information Technology, Universiti Malaya), En Jun Choong, Ethan Jeremiah Chitty, Yan Pheng Choo, John Hsin Yang Wong, Chern Eu Cheah
https://arxiv.org/abs/2508.05669

Fine-Tuning Vision-Language Models for Markdown Conversion of Financial Tables in Malaysian Audited Financial Reports
Accurately extracting and representing the structure of tabular data from financial documents remains a critical challenge in document understanding, particularly for regulatory and analytical use cases. This study addresses the complexity of converting financial tables from Malaysian audited financial reports into Markdown format, a task complicated by rotated layouts, multi-level headers, and implicit structural cues. We propose a fine-tuned vision-language model (VLM), based on Qwen2.5-VL-7B…

A statistical complexity measure can differentiate Go/NoGo trials during a visual-motor task using human electroencephalogram data
Francisco Leandro P. Carlos, Maria Carla Navas, \'Icaro Rodolfo Soares Coelho Da Paz, Helena Bordini de Lucas, Maciel-Monteiro Ubirakitan, Marcelo Cairr\~ao Ara\'ujo Rodrigues, Moises Aguilar Domingo, Eva Herrera-Guti\'errez, Osvaldo A. Rosso, Luz Bavassi, Fernanda Selingardi Matias

A statistical complexity measure can differentiate Go/NoGo trials during a visual-motor task using human electroencephalogram data
Complexity is a ubiquitous concept in contemporary science and everyday life. A complex dynamical system is usually characterized by a blend of order and disorder, as well as emergent phenomena that often span multiple temporal and spatial scales. The information processes related to different cognitive processes in the brain can be studied in light of statistical differences based on complexity measures of the electrophysiological time series from different trial types. Recently, it has been d…

On the Operational Resilience of CBDC: Threats and Prospects of Formal Validation for Offline Payments
Marco Bernardo, Federico Calandra, Andrea Esposito, Francesco Fabris
https://arxiv.org/abs/2508.08064

On the Operational Resilience of CBDC: Threats and Prospects of Formal Validation for Offline Payments
Information and communication technologies are by now employed in most activities, including economics and finance. Despite the extraordinary power of modern computers and the vast amount of memory, some results of theoretical computer science imply the impossibility of certifying software quality in general. With the exception of safety-critical systems, this has primarily concerned the information processed by confined systems, with limited socio-economic consequences. In the emerging era of …

FediWall for the Night of Science on 21 June 2025 in Göttingen!
https://s.academiccloud.de/NtAwrV
During this long summer night, the scientific institutions on Göttingen Campus will offer a program brimming with information and activities. Enjoy open doors of lecture halls, libraries, …

View of Gates Hall from the Plaza of the New Computer and Information Science Building
#cornell #photo #photography

Mapping the interaction between science and misinformation in COVID-19 tweets
Lucila G. Alvarez-Zuzek, Juan P. Bascur, Anna Bertani, Riccardo Gallotti, Vincent A. Traag
https://arxiv.org/abs/2507.01481

Mapping the interaction between science and misinformation in COVID-19 tweets
During the COVID-19 pandemic, scientific understanding related to the topic evolved rapidly. Along with scientific information being discussed widely, a large circulation of false information, labelled an infodemic by the WHO, emerged. Here, we study the interaction between misinformation and science on Twitter (now X) during the COVID-19 pandemic. We built a comprehensive database of $\sim$407M COVID-19 related tweets and classified the reliability of URLs in the tweets based on Media Bias/Fac…

This https://arxiv.org/abs/2505.13182 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

Information Science Principles of Machine Learning: A Causal Chain Meta-Framework Based on Formalized Information Mapping
[Objective] This study focuses on addressing the current lack of a unified formal theoretical framework in machine learning, as well as the deficiencies in interpretability and ethical safety assurance. [Methods] A formal information model is first constructed, utilizing sets of well-formed formulas to explicitly define the ontological states and carrier mappings of typical components in machine learning. Learnable and processable predicates, along with learning and processing functions, are in…

Impacts of Intrinsic Noise and Quantum Entanglement on the Geometric and Dynamical Properties of the XXZ Heisenberg Interacting Spin Model
M. Yachi, B. Amghar, J. Elfakir, M. El Falaki, S. A. Chelloug, A. A Abd El-Latif, A. Slaoui
https://arxiv.org/abs/2507.17452

Impacts of Intrinsic Noise and Quantum Entanglement on the Geometric and Dynamical Properties of the XXZ Heisenberg Interacting Spin Model
Understanding how intrinsic decoherence affects the interplay between geometry, dynamics, and entanglement in quantum systems is a central challenge in quantum information science. In this work, we develop a unified framework that explores this interplay for a pair of interacting spins governed by an XXZ-type Heisenberg model under an external magnetic field and intrinsic decoherence. We quantify entanglement using the concurrence measure and examine its evolution under decoherence, revealing t…

Implicit reporting standards in bibliometric research: what can reviewers' comments tell us about reporting completeness?
Dimity Stephen, Alexander Schniedermann, Andrey Lovakov, Marion Schmidt, Matteo Ottaviani, Nikita Sorgatz, Roberto Cruz Romero, Torger M\"oller, Valeria Aman, Stephan Stahlschmidt
https://arxiv.org/abs/2508.162…

Implicit reporting standards in bibliometric research: what can reviewers' comments tell us about reporting completeness?
The recent surge in bibliometric studies published has been accompanied by increasing diversity in the completeness of reporting these studies' details, affecting reliability, reproducibility, and robustness. Our study systematises the reporting of bibliometric research using open peer reviews. We examined 182 peer reviews of 85 bibliometric studies published in library and information science (LIS) journals and conference proceedings, and non-LIS journals. We extracted 968 reviewer comments an…

Series B, Episode 03 - Weapon
ORAC: No. It was a priority one - for automatic relay to the senior officer present.
BLAKE: Orac, I want more information. I want to know everything there is to know about this man Coser; I want to know how he got out of the base; and I want to know what IMIPAK is.
https://blake.torpidi…

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

Broken Symmetries, Information and Emergence: What is theory, that biology should be mindful of it?
Shakti N. Menon, Sitabhra Sinha
https://arxiv.org/abs/2506.07210

Broken Symmetries, Information and Emergence: What is theory, that biology should be mindful of it?
The discipline of `theoretical biology' has been developing from its inception several decades ago almost in parallel with the advances in biology, so much so that the latter is often considered to be almost exclusively an empirical science. However, the scenario has been changing in recent years with statistical mechanics, nonlinear dynamics and soft-matter physics being more and more frequently invoked to explain various biological observations. As distinct from computational biology, theoret…

Social Media Reactions to Open Source Promotions: AI-Powered GitHub Projects on Hacker News
Prachnachai Meakpaiboonwattana, Warittha Tarntong, Thai Mekratanavorakul, Chaiyong Ragkhitwetsagul, Pattaraporn Sangaroonsilp, Raula Kula, Morakot Choetkiertikul, Kenichi Matsumoto, Thanwadee Sunetnanta
https://arxiv.org/abs/2506.12643

Social Media Reactions to Open Source Promotions: AI-Powered GitHub Projects on Hacker News
Social media platforms have become more influential than traditional news sources, shaping public discourse and accelerating the spread of information. With the rapid advancement of artificial intelligence (AI), open-source software (OSS) projects can leverage these platforms to gain visibility and attract contributors. In this study, we investigate the relationship between Hacker News, a social news site focused on computer science and entrepreneurship, and the extent to which it influences de…

Replaced article(s) found for physics.ed-ph. https://arxiv.org/list/physics.ed-ph/new
[1/1]:
- QISCIT: A validated concept inventory assessment for quantum information science
Kelley Durkin, Manshuo Lin, Michael H. Kolodrubetz, Ryan P. McMahan

Information Transport in Classic-Quantum Hybrid System
Julian Rapp, Radhika H. Joshi, Alwin van Steensel, Yuli V. Nazarov, Mohammad H. Ansari
https://arxiv.org/abs/2508.07870 ht…

Information Transport in Classic-Quantum Hybrid System
Many important quantities in quantum information science, such as entropy and entanglement, are non-linear functions of the density matrix and cannot be expressed as operator observables. Standard open-system approaches evolve only a single copy of the density matrix, making it impossible to track the dynamics of such quantities. A formalism proposed by some of the present authors addressed this challenge by evolving multiple virtual replicas, but was limited to the weak-coupling regime. Here, …

Patents as Knowledge Artifacts: An Information Science Perspective on Global Innovation
M. S. Rajeevan, B. Mini Devi
https://arxiv.org/abs/2508.00871 https://

Patents as Knowledge Artifacts: An Information Science Perspective on Global Innovation
In an age of fast-paced technological change, patents have evolved into not only legal mechanisms of intellectual property, but also structured storage containers of knowledge full of metadata, categories, and formal innovation. This chapter proposes to reframe patents in the context of information science, by focusing on patents as knowledge artifacts, and by seeing patents as fundamentally tied to the global movement of scientific and technological knowledge. With a focus on three areas, the …

High-fidelity entanglement and coherent multi-qubit mapping in an atom array
Aruku Senoo, Alexander Baumg\"artner, Joanna W. Lis, Gaurav M. Vaidya, Zhongda Zeng, Giuliano Giudici, Hannes Pichler, Adam M. Kaufman
https://arxiv.org/abs/2506.13632

High-fidelity entanglement and coherent multi-qubit mapping in an atom array
Neutral atoms in optical tweezer arrays possess broad applicability for quantum information science, in computing, simulation, and metrology. Among atomic species, Ytterbium-171 is unique as it hosts multiple qubits, each of which is impactful for these distinct applications. Consequently, this atom is an ideal candidate to bridge multiple disciplines, which, more broadly, has been an increasingly effective strategy within the field of quantum science. Realizing the full potential of this syner…

Building Student Understanding of Quantum Information Science and Engineering through Projects on Applications to Medical Technologies
Jessica L. Rosenberg, Nancy Holincheck
https://arxiv.org/abs/2508.03850

Building Student Understanding of Quantum Information Science and Engineering through Projects on Applications to Medical Technologies
Medical technologies, including quantum machine learning (QML) and quantum sensing, represent transformative tools for addressing some of the most pressing challenges in healthcare and drug discovery today. We discuss the ways that these topics engage the interest of high-school, undergraduate, and graduate students in understanding quantum information science and engineering. We describe how students built their understanding of these areas through a research project that allowed them to gain …

Adiabatic Cooling of Planar Motion in a Penning Trap Ion Crystal to Sub-Millikelvin Temperatures
Wes Johnson, Bryce Bullock, Athreya Shankar, John Zaris, John J. Bollinger, Scott E. Parker
https://arxiv.org/abs/2507.12429

Adiabatic Cooling of Planar Motion in a Penning Trap Ion Crystal to Sub-Millikelvin Temperatures
Two-dimensional planar ion crystals in a Penning trap are a platform for quantum information science experiments. However, the low-frequency planar modes of these crystals are not efficiently cooled by laser cooling, which can limit the utility of the drumhead modes for quantum information processing. Recently, it has been shown that nonlinear mode coupling can enhance the cooling of the low-frequency planar modes. Here, we demonstrate in numerical simulations that this coupling can be dynamica…

The Statistical Validation of Innovation Lens
Giacomo Radaelli, Jonah Lynch
https://arxiv.org/abs/2508.14139 https://arxiv.org/pdf/2508.14139

The Statistical Validation of Innovation Lens
Information overload and the rapid pace of scientific advancement make it increasingly difficult to evaluate and allocate resources to new research proposals. Is there a structure to scientific discovery that could inform such decisions? We present statistical evidence for such structure, by training a classifier that successfully predicts high-citation research papers between 2010-2024 in the Computer Science, Physics, and PubMed domains.

Quantifying mixed-state entanglement via partial transpose and realignment moments
Poetri Sonya Tarabunga, Tobias Haug
https://arxiv.org/abs/2507.13840 htt…

Quantifying mixed-state entanglement via partial transpose and realignment moments
Entanglement plays a crucial role in quantum information science and many-body physics, yet quantifying it in mixed quantum many-body systems has remained a notoriously difficult problem. Here, we introduce families of quantitative entanglement witnesses, constructed from partial transpose and realignment moments, which provide rigorous bounds on entanglement monotones. Our witnesses can be efficiently measured using SWAP tests or variants of Bell measurements, thus making them directly impleme…

Advancing Quantum Information Science Pre-College Education: The Case for Learning Sciences Collaboration
Raquel Coelho, Roy Pea, Christian Schunn, Jinglei Cheng, Junyu Liu
https://arxiv.org/abs/2508.00668

Advancing Quantum Information Science Pre-College Education: The Case for Learning Sciences Collaboration
As quantum information science advances and the need for pre-college engagement grows, a critical question remains: How can young learners be prepared to participate in a field so radically different from what they have encountered before? This paper argues that meeting this challenge will require strong interdisciplinary collaboration with the Learning Sciences (LS), a field dedicated to understanding how people learn and designing theory-guided environments to support learning. Drawing on les…

Bargmann invariants of Gaussian states
Jianwei Xu
https://arxiv.org/abs/2508.07155 https://arxiv.org/pdf/2508.07155…

Bargmann invariants of Gaussian states
Given a set of ordered quantum states, described by density operators $% \{ρ_{j}\}_{j=1}^{n}$, the Bargmann invariant of $\{ρ_{j}\}_{j=1}^{n}$ is defined as tr($ρ_{1}ρ_{2}...ρ_{n}$). Bargmann invariant serves as a fundamental concept for quantum mechanics and has diverse applications in quantum information science. Bosonic Gaussian states are a class of quantum states on infinite-dimensional Hilbert space, widely used in quantum optics and quantum information science. Bosonic Gaussian stat…

Industry Perspectives on Projected Quantum Workforce Needs
Shams El-Adawy, A. R. Pi\~na, Benjamin M. Zwickl, H. J. Lewandowski
https://arxiv.org/abs/2508.15055 https://

Industry Perspectives on Projected Quantum Workforce Needs
As more physics educators are developing courses and programs to prepare students for careers in quantum information science, understanding the quantum industry's future workforce needs has become increasingly important. As part of ongoing efforts to understand the knowledge and skills needed for various job roles, we interviewed quantum industry professionals in managerial positions about workforce needs. Through thematic analysis, we identify two broad themes about projected needs. First, man…

Thermalization and Many-Body Zeno Effect in monitored Hamiltonian Dynamics
Jia-Jin Feng, Quntao Zhuang
https://arxiv.org/abs/2508.13574 https://arxiv.org/p…

Thermalization and Many-Body Zeno Effect in monitored Hamiltonian Dynamics
Random quantum states are essential for various applications in quantum information science. Prior approaches of generating genuine random states rely on a large bath to thermalize the system, such that a subsequent measurement on the bath post-selects a random state for the system. To reduce the size of the required bath, we propose an alternative approach based on holographic deep thermalization driven by Hamiltonian evolution, combined with mid-circuit measurements. By trading spatial and ti…

Extracting Information About Publication Venues Using Citation-Informed Transformers
Brian D. Zimmerman, Joshua Folkins, Olga Vechtomova
https://arxiv.org/abs/2506.08199

Extracting Information About Publication Venues Using Citation-Informed Transformers
Scientific document embeddings contain a variety of rich features which can be harnessed for downstream tasks such as recommendation, ranking, and clustering. We explore which tangible insights can be drawn from scientific document embeddings to understand trends in computer science research featured across nine well-known venues. We collect approximately 60,000 scientific documents published between 2015 and 2023 and analyze their embeddings, which we produce with the SPECTER pre-trained langu…

Insights from Educators on Building a More Cohesive Quantum Information Science and Engineering Education Ecosystem
Shams El-Adawy, A. R. Pi\~na, Benjamin M. Zwickl, H. J. Lewandowski
https://arxiv.org/abs/2507.01578

Insights from Educators on Building a More Cohesive Quantum Information Science and Engineering Education Ecosystem
As the need for a quantum-ready workforce grows, educators in Quantum Information Science and Engineering (QISE) face the challenge of aligning their programs and courses with industry needs. Through a series of interviews with program directors and faculty across 15 different institutions, we identified the considerations that educators are currently addressing as they develop their various courses and programs. Grounded in a curriculum framework, we conducted a Strengths, Weaknesses, Opportun…

Simple ways of preparing qudit Dicke states
Noah B. Kerzner, Federico Galeazzi, Rafael I. Nepomechie
https://arxiv.org/abs/2507.13308 https://

Simple ways of preparing qudit Dicke states
Dicke states are permutation-invariant superpositions of qubit computational basis states, which play a prominent role in quantum information science. We consider here two higher-dimensional generalizations of these states: $SU(2)$ spin-$s$ Dicke states and $SU(d)$ Dicke states. We present various ways of preparing both types of qudit Dicke states on a qudit quantum computer, using two main approaches: a deterministic approach, based on exact canonical matrix product state representations; and …

The Evolving Role of Large Language Models in Scientific Innovation: Evaluator, Collaborator, and Scientist
Haoxuan Zhang, Ruochi Li, Yang Zhang, Ting Xiao, Jiangping Chen, Junhua Ding, Haihua Chen
https://arxiv.org/abs/2507.11810

The Evolving Role of Large Language Models in Scientific Innovation: Evaluator, Collaborator, and Scientist
Scientific innovation is undergoing a paradigm shift driven by the rapid advancement of Large Language Models (LLMs). As science faces mounting challenges including information overload, disciplinary silos, and diminishing returns on conventional research methods, LLMs are emerging as powerful agents capable not only of enhancing scientific workflows but also of participating in and potentially leading the innovation process. Existing surveys mainly focus on different perspectives, phrases, and…

Few Single-Qubit Measurements Suffice to Certify Any Quantum State
Meghal Gupta, William He, Ryan O'Donnell
https://arxiv.org/abs/2506.11355 https://…

Few Single-Qubit Measurements Suffice to Certify Any Quantum State
A fundamental task in quantum information science is \emph{state certification}: testing whether a lab-prepared $n$-qubit state is close to a given hypothesis state. In this work, we show that \emph{every} pure hypothesis state can be certified using only $O(n^2)$ single-qubit measurements applied to $O(n)$ copies of the lab state. Prior to our work, it was not known whether even sub-exponentially many single-qubit measurements could suffice to certify arbitrary states. This resolves the main o…

Pathways to Quantum: Fostering High School Student Interest in Quantum Information Science
Jennifer Simons, Nancy Holincheck, Jessica Rosenberg, Laura Akesson
https://arxiv.org/abs/2508.03838

Pathways to Quantum: Fostering High School Student Interest in Quantum Information Science
This study examines the Pathways to Quantum Immersion Program at George Mason University, which introduces high school students to quantum concepts and careers. Fifteen group interviews with a total of 45 students were analyzed to examine how the program supported student awareness, knowledge, and perceptions of quantum careers. Participants gained a better understanding of various quantum and quantum-adjacent careers, as well as the paths they might follow to pursue these careers. Interactions…

Quantum Entanglement with Geometric Measures
Xuanran Zhu
https://arxiv.org/abs/2506.11453 https://arxiv.org/pdf/2506.11453

Quantum Entanglement with Geometric Measures
Quantifying quantum entanglement is a pivotal challenge in quantum information science, particularly for high-dimensional systems, due to its computational complexity. This thesis extends the geometric measure of entanglement (GME) to introduce and investigate a suite of GME-based entanglement monotones tailored for diverse quantum contexts, including pure states, subspaces, and mixed states. These monotones are applicable to both bipartite and multipartite systems, offering a unified framework…

Real-time preparation and verification of nonstabilizer states
Jian Li, Ye-Chao Liu, Xiao-Xiao Chen, Zhe Meng, Xing-Yan Fan, Wen-Hao Wang, Jie Ma, An-Ning Zhang, Jiangwei Shang
https://arxiv.org/abs/2507.11180

Real-time preparation and verification of nonstabilizer states
Entanglement lies at the heart of quantum information science, serving as a key resource for quantum communication, computation, and metrology. Consequently, high-precision entangled state preparation and efficient verification are essential for practical quantum technologies. Quantum state verification (QSV) has recently gained much attention as an efficient and experiment-friendly approach for verifying entangled states. In this work, we experimentally demonstrate a QSV protocol for verifying…

Uncertainty relations for unified ($\alpha$,$\beta$)-relative entropy of coherence under mutually unbiased equiangular tight frames
Baolong Cheng, Zhaoqi Wu
https://arxiv.org/abs/2506.09779

Uncertainty relations for unified ($α$,$β$)-relative entropy of coherence under mutually unbiased equiangular tight frames
Uncertainty relations based on quantum coherence is an important problem in quantum information science. We discuss uncertainty relations for averaged unified ($α$,$β$)-relative entropy of coherence under mutually unbiased equiangular tight frames, and derive an interesting result for different parameters. As consequences, we obtain corresponding results under mutually unbiased bases, equiangular tight frames or based on Tsallis $α$- relative entropies and Rényi-$α$ relative entropies. We …

Tailored First-order and Interior-point methods and a new semidefinite programming hierarchy for entanglement detection
Javier Pena, Vikesh Siddhu, Sridhar Tayur
https://arxiv.org/abs/2508.05854

Tailored First-order and Interior-point methods and a new semidefinite programming hierarchy for entanglement detection
Quantum entanglement lies at the heart of quantum information science, yet its reliable detection in high-dimensional or noisy systems remains a fundamental computational challenge. Semidefinite programming (SDP) hierarchies, such as the Doherty-Parrilo-Spedalieri (DPS) and Extension (EXT) hierarchies, offer complete methods for entanglement detection, but their practical use is limited by exponential growth in problem size. In this paper, we introduce a new SDP hierarchy, PST, that is sandwich…

How Quantum Agents Can Change Which Strategies Are More Complex
Spiros Kechrimparis, Nix Barnett, Mile Gu, Hyukjoon Kwon
https://arxiv.org/abs/2508.08092 https://

How Quantum Agents Can Change Which Strategies Are More Complex
Whether winning blackjack or navigating busy streets, achieving desired outcomes requires agents to execute adaptive strategies, strategies where actions depend contextually on past events. In complexity science, this motivates memory as an operational quantifier of complexity: given two strategies, the more complex one demands the agent to track more about the past. Here, we show that conclusions about complexity fundamentally depend on whether agents can process and store quantum information.…

Optimizing entanglement distribution via noisy quantum channels
Piotr Masajada, Marco Fellous-Asiani, Alexander Streltsov
https://arxiv.org/abs/2506.06089 …

Optimizing entanglement distribution via noisy quantum channels
Entanglement distribution is a crucial problem in quantum information science, owing to the essential role that entanglement plays in enabling advanced quantum protocols, including quantum teleportation and quantum cryptography. We investigate strategies for distributing quantum entanglement between two distant parties through noisy quantum channels. Specifically, we compare two configurations: one where the entanglement source is placed at the midpoint of the communication line, and another wh…

Supercoherence: Harnessing Long-Range Interactions to Preserve Collective Coherence in Disordered Systems
Alexey Gorlach, Andrea Pizzi, Klaus M{\o}lmer, Joseph Avron, Mordechai Segev, Ido Kaminer
https://arxiv.org/abs/2508.06238

Supercoherence: Harnessing Long-Range Interactions to Preserve Collective Coherence in Disordered Systems
Artificial quantum systems with synthetic dimensions enable exploring novel quantum phenomena difficult to create in conventional materials. These synthetic degrees of freedom increase the system's dimensionality without altering its physical structure, accessing higher-dimensional physics in lower-dimensional setups. However, synthetic quantum systems often suffer from intrinsic disorder, causing rapid decoherence that limits scalability, a major obstacle in quantum information science. Here, …

Quantum circuit complexity and unsupervised machine learning of topological order
Yanming Che, Clemens Gneiting, Xiaoguang Wang, Franco Nori
https://arxiv.org/abs/2508.04486 htt…

Quantum circuit complexity and unsupervised machine learning of topological order
Inspired by the close relationship between Kolmogorov complexity and unsupervised machine learning, we explore quantum circuit complexity, an important concept in quantum computation and quantum information science, as a pivot to understand and to build interpretable and efficient unsupervised machine learning for topological order in quantum many-body systems. To span a bridge from conceptual power to practical applicability, we present two theorems that connect Nielsen's quantum circuit compl…

Mixed State Entanglement Via the Cauchy-Schwarz Inequality
Nishaant Jacobus, Paul Brumer, Chern Chuang
https://arxiv.org/abs/2508.00334 https://arxiv.org/p…

Mixed State Entanglement Via the Cauchy-Schwarz Inequality
The entanglement properties of mixed states are of great importance in the study of open quantum systems and quantum information science, but commonly used entanglement measures, such as negativity, can be difficult to apply or connect to physical properties of the system. We introduce the Cauchy-Schwarz Violation (CSV) Condition, which has a simple dependence on the populations and coherences of the density operator. A sufficient condition for entanglement, it provides a more direct connection…