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Emergence of X states in a quantum impurity model
No full textIn the present work, we demonstrate the emergence of X states in the long-time response of a locally perturbed many-body quantum impurity model. The emergence of the double-qubit state is heralded by the lack of decay of the response function as well as the out-of-time order correlator, signifying the trapping of excitations and hence information in edge modes. Surprisingly, after carrying out a quantum information theory characterization, we show that such states exhibit genuine quantum correlations.M.F.C. would like to thank Michael Kolodrubetz for useful discussions. This work was supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brazil, through Grant No. 200267/2023-0.
M.V.S.B. acknowledges the support of CNPq under Grant No. 304120/2022-7. E.M. acknowledges the support of CNPq under Grant No. 309584/2021-3. The work was also financed (M.V.S.B. and E.M.) in part by the São Paulo Research Foundation (FAPESP), Brazil, Process No. 2022/15453-0. S.D. and M.F.C. acknowledge support from the John Templeton Foundation under Grant No. 62422https://link.aps.org/doi/10.1103/PhysRevResearch.7.L02202
The Full Circle Climate Workshop w/ Lee Boot
No full textOn today’s episode I speak with Lee Boot, Director of the Imaging Research Center (IRC) at UMBC. Lee is also Affiliate Associate Professor of Visual Arts and Computer Science & Engineering. The topic of our discussion is the recent Full Circle Climate Communication Workshop, held this January at UMBC.https://socialscience.umbc.edu/episode-65
Certificate-Less Single-Use Pseudonym Scheme for Countering Trajectory Tracking Attacks in ITS
No full textPeriodic spatial-temporal safety messages play a significant role in supporting driving safety in Intelligent Transportation Systems (ITS). These messages include GPS coordination and are communicated between ITS nodes at small intervals to increase situational awareness and alleviate the risk of collision. However, even when pseudonyms are used rather than real IDs, an adversary can exploit the safety messages to deanonymize the trajectories of the ITS nodes. Specifically, the adversary can correlate collected pseudonyms to draw traces for node trajectory. This paper opts to tackle such vulnerability and proposes a novel certificate-less pseudonym scheme that withstands trajectory tracking attacks in ITS. Our scheme enables each node to autonomously generate a single-use pseudonym for every message while allowing a particular pseudonym to be generated by multiple nodes to increase false positive correlation of pseudonyms with nodes. Unlike competing approaches, we study the complete lifecycle of pseudonyms and show that our scheme is secure and lightweight. The simulation results demonstrate that our scheme considerably increases the anonymity of the ITS nodes and achieves a very low traceability rate.This work was supported by the Deanship of Research and Graduate Studies at King Khalid University through Small Research Project under Grant RGP1 111 46https://ieeexplore.ieee.org/abstract/document/1100609
Distinguishing Quantum Software Bugs from Hardware Noise: A Statistical Approach
No full textIEEE International Conference on Quantum Computing and Engineering (QCE25), IEEE Quantum Week 2025, Albuquerque, NM, August 31 – September, 5 2025Quantum computing in the Noisy Intermediate-Scale Quantum (NISQ) era presents significant challenges in differentiating quantum software bugs from hardware noise. Traditional debugging techniques from classical software engineering cannot directly resolve this issue due to the inherently stochastic nature of quantum computation mixed with noises from NISQ computers. To address this gap, we propose a statistical approach leveraging probabilistic metrics to differentiate between quantum software bugs and hardware noise. We evaluate our methodology empirically using well-known quantum algorithms, including Grover's algorithm, Deutsch-Jozsa algorithm, and Simon's algorithm. Experimental results demonstrate the efficacy and practical applicability of our approach, providing quantum software developers with a reliable analytical tool to identify and classify unexpected behavior in quantum programs.http://arxiv.org/abs/2507.2047
Technological innovations in music education: a guide for K-12 educators
No full text[Introduction] The purpose of this guide is to provide public-school music educators with an introduction to various technologies that may be used to enhance the traditional learning environment. The technologies represented in this guide were selected for their apparent relevance to music education and their general accessibility. Each entry in this guide contains information about the origin, primary function, cost, and limitations of the specified tool. Additionally, the contributors to this guide have provided the reader with hypothetical practical applications of each technology to various musical courses. These suggestions are intended as inspiration for the reader and have not been formally tested in a classroom setting.
This guide contains a total of 58 entries, organized into three main sections. The first section, Generative AI, contains technologies that may be used for enhanced content generation or as an aid to curricular planning. The majority of these tools are intended for use by educators only, although this guide includes suggestions for student engagement when applicable. The second section, Adaptive Musical Instruments & Therapeutic Resources, includes technologies that may be used to enhance the accessibility of the music classroom or to engage students in non-musical developmental goals such as social-emotional learning (SEL). Music educators are encouraged to consider elements of Universal Design for Learning (UDL) when integrating these tools into the learning environment (i.e., consider that these technologies can be applied to all students). The third section, Distance Learning & Extended Reality, includes technologies that may be used to create “immersive” learning experiences and facilitate remote inter-personal collaboration. These tools might be used to enhance “traditional” pedagogies as a means of informal practice and assessment or to inspire students’ creativity.
This guidebook is intended for informational and educational purposes only. While every effort has been made to ensure the accuracy and relevance of the information provided, technology evolves rapidly, and best practices may change over time. Educators are encouraged to conduct their own research and consult with school administrators, IT professionals, and legal advisors before implementing new technologies in their classrooms. Additionally, the contents of this guide were generated by independent music education experts and are not intended to represent the values of Towson University or serve as endorsements of any particular entity.Generative AI -- Adaptive musical instruments & therapeutic resources -- Distance learning & extended realit
Holographic Counterpart Computation Offloading via Reconfigurable Intelligent Surfaces in VEC Consumer Electronics
No full textIn vehicular edge computing (VEC) Consumer Electronics networks, the integration of holographic counterpart technology presents significant challenges due to its stringent requirements for high data transmission rates and communication reliability. Traditional task offloading methods, constrained by suboptimal communication link quality and energy limitations, are inadequate to meet these demands. This paper introduces a groundbreaking system that synergistically combines wireless power transfer (WPT) and reconfigurable intelligent surfaces (RIS) to significantly enhance both communication performance and computational efficiency. Leveraging deep reinforcement learning (DRL), our system achieves joint optimization of task offloading strategies and resource allocation. Departing from conventional dynamic RIS designs, we implement a fixed phase shift matrix approach, which not only simplifies system implementation but also reduces computational complexity, thereby enhancing both task offloading efficiency and system stability. Extensive simulation results demonstrate that our optimized RISassisted approach achieves a remarkable 38.30% improvement in computational rates compared to non-RIS schemes and a 4.83 enhancement over random-phase RIS configurations. These substantial improvements highlight the transformative potential of RIS in boosting computation rates and providing robust solutions for high-demand task offloading scenarios. Our innovative system design represents a significant advancement in intelligent vehicular networks and edge computing technologies, offering substantial application potential for holographic projection task offloading in next-generation vehicular systems.This work was supported in part by the National Natural Science Foundation of China (62462002) and partially supported by the Natural Science Foundation of Guangxi, China (Nos. 2025GXNSFAA069958, 2025GXNSFBA069394), and in part by the Key Research andDevelopment Program of Guangxi under Grant AD25069071. (Corresponding author: Wenjing Xiao, Ahmed Farouk)https://ieeexplore.ieee.org/document/11022618
Workplace Inequities: Exploring the Challenges of Sex-based Discrimination in the United States
No full textSex-based discrimination continues to negatively impact employees despite decades attempting to mitigate it within the United States. It is illegal to make employment decisions based on protected characteristics, including race, color, religion, sex, national origin, age, disability, and genetic information. There have been great strides to ensure gender equity within the workplace; however, the issue is complex and rooted in antiquated cultural norms. This dissertation examined sex-based discrimination through three interconnected studies that analyzed reporting behaviors, complaint patterns, and legal recourse. In the first study, literature on sex-based harassment reporting published between 2006 - 2023 was reviewed to uncover trends in research methods, key barriers to reporting, and potential remedies to underreporting. Findings revealed numerous barriers that prevented individuals from reporting harassment, including fear of retaliation, insufficient or ambiguous policies, societal norms, and intrapersonal conflict. The remedies in this body of research were largely focused on legal reform. The second study employed a quantitative analysis of Notification and Federal Employee Anti-discrimination and Retaliation (No FEAR) Act data to expose patterns in sex-based discrimination complaints from 2006 - 2023. Data from the Office of Personnel Management's (OPM) FedScope web tool and Federal Employee Viewpoint Survey (FEVS) were also leveraged to examine the relationship between workforce demographics, discrimination complaint rates, and fear of retaliation within seven federal agencies. The results suggested a negative correlation between the percentage of male employees and the rate of complaints at these agencies. These findings also indicated there are fewer complaints filed when employees do not fear reprisal. These data did not reveal any clear trends when comparing the male-dominated agencies to the female-dominated agencies. The final study analyzed two landmark class action lawsuits, Wal-Mart v. Dukes and Ellis v. Costco, to explore the evidentiary and legal standards that shape case outcomes. It highlighted organizational practices that create bias and challenges plaintiffs face when demonstrating systemic discrimination in a legal setting. The outcome of these cases created stricter criteria for class certification and enforcement gaps for the Equal Employment Opportunity Commission (EEOC) regarding subjective decision-making. Collectively, these three studies provided an analysis of the structural and procedural challenges that shape how sex-based discrimination is experienced, addressed, and adjudicated. By exploring sex-based discrimination through multiple lenses, this dissertation sought to enhance understanding of the issue and its systematic nature, provide practical solutions, and inform future research
Disparities in Opioid Distribution in Puerto Rico and the Continental United States (2018-2023)
No full textObjective: The objective of this study was to analyze and compare the distribution patterns of fentanyl, morphine, meperidine, and codeine in the continental US compared to Puerto Rico from 2018-2023. Attention was given to meperidine due to its extensive adverse effect profile and irreversible central nervous system toxicity. Methods: Data was collected from Automation of Reports and Consolidated Orders Systems (ARCOS). The dataset included annual distribution data for meperidine, fentanyl, morphine, and codeine in the US and Puerto Rico. Population data was collected from US Census data and the American Community Survey. Data analyses were conducted using Microsoft Excel Version 2410. For each opioid, the mean distribution and standard deviation (SD) were calculated for the continental US. The mean distribution in Puerto Rico was compared to the US mean distribution with a 95% confidence interval. ANOVA tests were performed to assess differences in distribution of each opioid across years (2018, 2020, and 2022) within the continental US. All descriptive statistics and ANOVA calculations were conducted with statistical significance determined at p < 0.05.Results: From 2018 to 2023, meperidine distribution declined in both regions but decreased more sharply in the continental US (82.6%) compared to Puerto Rico (43.5%). Distribution levels exceeded six standard deviations above the US mean in 2023. Fentanyl and morphine distributions were consistently lower in Puerto Rico than in the continental US.Conclusion: There was a disproportionately high distribution of meperidine in Puerto Rico compared to the continental US across the years studiedhttps://prhsj.rcm.upr.edu/index.php/prhsj/article/view/342
Paradigms and paradoxes: what is the enthalpy of formation of triglycine or should we have asked “What are the enthalpies of formation of the triglycines”?
No full textThe current paper discusses the enthalpy of formation of triglycine. Upon asking “What is the enthalpy of formation of triglycine?”, we find that there are two non-isomeric species that are generally referred to as “triglycine”: glycylglycylglycine and nitrilotriacetic acid. In the current paper the enthalpies of formation of these two species termed "triglycines" are discussed and related to each other. In addition, a similar analysis is carried out for the related “diglycines”.MPS gratefully acknowledges the Slovenian Research and Innovation Agency (ARIS Grant P1-0045, Inorganic Chemistry and Technology) for financial support.https://link.springer.com/article/10.1007/s11224-025-02624-