Tootfinder

"EV battery recycling key to easing future lithium supply constraints, modeling study shows"
#EV #ElectricVehicle #Cars

EV battery recycling key to easing future lithium supply constraints, modeling study shows
Lightweight, powerful lithium-ion batteries are crucial for the transition to electric vehicles, and global demand for lithium is set to grow rapidly over the next 25 years. A new analysis from the University of California, Davis, published May 29 in Nature Sustainability, looks at how new mining operations and battery recycling could meet that demand. Recycling could play a big role in easing supply constraints, the researchers found.

Turns out #synology 's home folders are set to chmod 777 by default!
https://blog.aaronlenoir.com/2018/05/06/ssh-into-synology-nas-with-ssh-key/

EGNInfoLeaker: Unveiling the Risks of Public Key Reuse and User Identity Leakage in Blockchain
Chenyu Li, Xueping Liang, Xiaorui Gong, Xiu Zhang
https://arxiv.org/abs/2507.01635

EGNInfoLeaker: Unveiling the Risks of Public Key Reuse and User Identity Leakage in Blockchain
While Ethereum's discovery protocols (Discv4/ Discv5) incorporate robust cryptographic designs to protect user privacy, real-world deployment reveals critical vulnerabilities when users deviate from security guidelines. In this paper, we design a system called EGNInfoLeaker. Our study is the first work that uncovers widespread public key reuse across Ethereum's peer-to-peer networks - a practice that fundamentally undermines the protocol's privacy guarantees. Through systematic analysis of 300 …

This is really neat.
https://mastodon.social/@pid_eins/114618473677694301

Two related news stories that hint of the destruction of US assets and infrastructure that are critical to the safety of all of us:
"Severe weather hits the US hard as key forecast offices reel from Trump cuts"
"Trump delays plan to cut satellite data access crucial to hurricane forecasting"

Realistic quantum network simulation for experimental BBM92 key distribution
Michelle Chalupnik, Brian Doolittle, Suparna Seshadri, Eric G. Brown, Keith Kenemer, Daniel Winton, Daniel Sanchez-Rosales, Matthew Skrzypczyk, Cara Alexander, Eric Ostby, Michael Cubeddu
https://arxiv.org/abs/2505.24851…

Realistic quantum network simulation for experimental BBM92 key distribution
Quantum key distribution (QKD) can provide secure key material between two parties without relying on assumptions about the computational power of an eavesdropper. QKD is performed over quantum links and quantum networks, systems which are resource-intensive to deploy and maintain. To evaluate and optimize performance prior to, during, and after deployment, realistic simulations with attention to physical realism are necessary. Quantum network simulators can simulate a variety of quantum and cl…

Did you know I run the world’s most low-key TikTok account?
Here I am, a tired greying man, telling you about the one drink a week I have.
https://vm.tiktok.com/ZNdBak8kc/

Ukraine war latest: Ukrainian drones strike Russian plant 1,300km from border, SBU source says: https://benborges.xyz/2025/07/01/ukraine-war-latest-ukrainian-drones.html

Detecting, intercepting, and ejecting adversaries is getting harder as cybercriminals move faster and smarter.
Check out my latest CSO piece on how CISOs need to rethink their digital playbooks in light of these trends.
Thanks to Matt Immler of Okta, Tom Etheridge of CrowdStrike and Pierre Cadieux of Cisco Talos for their insight.

CISOs must rethink defense playbooks as cybercriminals move faster, smarter
Facing faster, stealthier intruders, CISOs are under pressure to modernize their cybersecurity strategies, toolsets, and tactics. From detection to post-mortem, here are key points of renewed emphasis.

When JD Vance arrived in the Senate in 2023, he backed a raft of proposals that were characterized as reflecting a new brand of economic populism for the Republican Party.
He championed higher taxes on some businesses, increased support for families and a willingness to interfere in free markets that bordered on the heretical in the modern GOP.

Two years later, the now-vice president’s distinctive policy ideas are hard to find in the tax legislation now advancing through Congres…

JD Vance’s prior vision for populism is largely absent from GOP tax bill
The GOP tax bill advancing through Congress does not include key proposals championed by JD Vance, including a $5,000 child tax credit and a tax on executives of large banks that fail.

Ab dem 31. Juli soll die US-Wetterbehörde #NOAA keinen Zugang mehr zu wichtigen #Satellitendaten für die #Hurrikanvorhersage erhalten.
Die

Trump admin will cut hurricane forecasters out of key satellite data in one month
The Defense Department will still maintain the satellite program will cease sharing the imagery with NOAA and NASA.

To the person at Microsoft Azure who decided that key vault names must be (a) globally unique and (b) no more than 24 characters:
fuck you.

Google Photos has a shortcut key for "delete the photo I am looking at". It's not backspace, or delete, or even D. It's #. Yes, Shift-3. Good job, UX experts!

... The key after I book the trip is to roll some of these credit cards up, to get rid of two of the four annual credit card fees.

It is fascinating (maybe not the word everyone would use) to watch, what once was viewed as an init replacement, systemd evolve. Terminal emulation:
https://mastodon.social/@pid_eins/114618473677694301

Trump taps extreme Jan. 6 apologist for key watchdog role. That won't end well. (Barbara McQuade/MSNBC)
https://www.msnbc.com/opinion/msnbc-opinion/trump-jan-6-podcast-paul-ingrassia-job-senate-rcna210246
http://www.memeorandum.com/250602/p119#a250602p119

once again love whenever i come across an overly specific meme, like what real friend of the creator is getting ribbed here

A "Wenlu" Brain System for Multimodal Cognition and Embodied Decision-Making: A Secure New Architecture for Deep Integration of Foundation Models and Domain Knowledge
Liang Geng
https://arxiv.org/abs/2506.00570

A "Wenlu" Brain System for Multimodal Cognition and Embodied Decision-Making: A Secure New Architecture for Deep Integration of Foundation Models and Domain Knowledge
With the rapid penetration of artificial intelligence across industries and scenarios, a key challenge in building the next-generation intelligent core lies in effectively integrating the language understanding capabilities of foundation models with domain-specific knowledge bases in complex real-world applications. This paper proposes a multimodal cognition and embodied decision-making brain system, ``Wenlu", designed to enable secure fusion of private knowledge and public models, unified proc…

Very good and useful historical overview of England's role in making the mess that is the middle east, from Scottish historian @DalrympleWill [X]. Britain’s colonial legacy played a key role in creating this injustice. The suffering in Gaza didn’t start yesterday, it was engineered long ago.

Physical Layer Group Key Generation With the Aid of Reconfigurable Intelligent Surfaces
Vahid Shahiri, Guyue Li, Hamid Behroozi
https://arxiv.org/abs/2507.00714

Physical Layer Group Key Generation With the Aid of Reconfigurable Intelligent Surfaces
Reconfigurable intelligent surfaces (RIS) have the ability to alter the wireless environment by making changes in the impinging signal. Motivated by this ability, in this study, we exploit the RIS to make the aggregate reflecting channels of different user terminals (UTs) as similar as possible to be able to extract common group secret keys from their channels. Specifically, the RIS will adjust its parameters to pave the way for group key generation (GKG) based on the physical channels of the U…

An Integrated Platform for LEED Certification Automation Using Computer Vision and LLM-RAG
Jooyeol Lee
https://arxiv.org/abs/2506.00888 https://

An Integrated Platform for LEED Certification Automation Using Computer Vision and LLM-RAG
The Leadership in Energy and Environmental Design (LEED) certification process is characterized by labor-intensive requirements for data handling, simulation, and documentation. This paper presents an automated platform designed to streamline key aspects of LEED certification. The platform integrates a PySide6-based user interface, a review Manager for process orchestration, and multiple analysis engines for credit compliance, energy modeling via EnergyPlus, and location-based evaluation. Key c…

The replacement Thinkpad E330 keyboard arrived yesterday, and I fitted it at lunchtime, and guess what? It's a UK keyboard layout!
What thrills I'm going to have this this *absolutely enormous enter key!*

Cowboys 'should be in NFL playoff mix' if one key unit comes together https://www.si.com/nfl/cowboys/news/dallas-cowboys-should-be-nfl-playoff-mix-one-key-unit-comes-together

SAFER: Probing Safety in Reward Models with Sparse Autoencoder
Sihang Li, Wei Shi, Ziyuan Xie, Tao Liang, Guojun Ma, Xiang Wang
https://arxiv.org/abs/2507.00665

SAFER: Probing Safety in Reward Models with Sparse Autoencoder
Reinforcement learning from human feedback (RLHF) is a key paradigm for aligning large language models (LLMs) with human values, yet the reward models at its core remain largely opaque. In this work, we present sparse Autoencoder For Enhanced Reward model (\textbf{SAFER}), a novel framework for interpreting and improving reward models through mechanistic analysis. Leveraging Sparse Autoencoders (SAEs), we uncover human-interpretable features in reward model activations, enabling insight into sa…

Clustering-based accelerometer measures to model relationships between physical activity and key outcomes
Hyatt Moore IV, Thomas N. Robinson, Alexandria Jensen, Fatma Gunturkun, K. Farish Haydel, Kristopher I Kapphahn, Manisha Desai
https://arxiv.org/abs/2507.00484

Clustering-based accelerometer measures to model relationships between physical activity and key outcomes
Accelerometers produce enormous amounts of data. Research that incorporates such data often involves a derived summary metric to describe physical activity. Traditional metrics have often ignored the temporal nature of the data. We build on previous work that applies unsupervised machine learning techniques to describe physical activity patterns over time. Specifically, we evaluate a summary measure of accelerometer data derived from unsupervised clustering in a regression framework through com…

This https://arxiv.org/abs/2306.07569 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Ontological Component-based Description of Robot Capabilities
A key aspect of a robot's knowledge base is self-awareness about what it is capable of doing. It allows to define which tasks it can be assigned to and which it cannot. We will refer to this knowledge as the Capability concept. As capabilities stems from the components the robot owns, they can be linked together. In this work, we hypothesize that this concept can be inferred from the components rather than merely linked to them. Therefore, we introduce an ontological means of inferring the agen…

This https://arxiv.org/abs/2505.17917 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

M-learner:A Flexible And Powerful Framework To Study Heterogeneous Treatment Effect In Mediation Model
We propose a novel method, termed the M-learner, for estimating heterogeneous indirect and total treatment effects and identifying relevant subgroups within a mediation framework. The procedure comprises four key steps. First, we compute individual-level conditional average indirect/total treatment effect Second, we construct a distance matrix based on pairwise differences. Third, we apply tSNE to project this matrix into a low-dimensional Euclidean space, followed by K-means clustering to iden…

A 3D Mobile Crowdsensing Framework for Sustainable Urban Digital Twins
Taku Yamazaki (Shibaura Institute of Technology), Kaito Watanabe (Shibaura Institute of Technology), Tatsuya Kase (Shibaura Institute of Technology), Kenta Hasegawa (Shibaura Institute of Technology), Koki Saida (Shibaura Institute of Technology), Takumi Miyoshi (Shibaura Institute of Technology)

A 3D Mobile Crowdsensing Framework for Sustainable Urban Digital Twins
In this article, we propose a 3D mobile crowdsensing (3D-MCS) framework aimed at sustainable urban digital twins (UDTs). The framework comprises four key mechanisms: (1) the 3D-MCS mechanism, consisting of active and passive models; (2) the Geohash-based spatial information management mechanism; (3) the dynamic point cloud integration mechanism for UDTs; and (4) the web-based real-time visualizer for 3D-MCS and UDTs. The active sensing model features a gamified 3D-MCS approach, where participan…

This https://arxiv.org/abs/2505.22688 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Investigating the effectiveness of multimodal data in forecasting SARS-COV-2 case surges
The COVID-19 pandemic response relied heavily on statistical and machine learning models to predict key outcomes such as case prevalence and fatality rates. These predictions were instrumental in enabling timely public health interventions that helped break transmission cycles. While most existing models are grounded in traditional epidemiological data, the potential of alternative datasets, such as those derived from genomic information and human behavior, remains underexplored. In the current…

Ukraine war latest: As Russia ramps up missile attacks, US halts promised air defense shipments to Ukraine: https://benborges.xyz/2025/07/02/ukraine-war-latest-as-russia.html

Phase-space distortion as a key to unraveling galactic bar buckling
Viktor D. Zozulia, Natalia Ya. Sotnikova, Anton A. Smirnov
https://arxiv.org/abs/2506.00631

Phase-space distortion as a key to unraveling galactic bar buckling
For the first time, we investigate the resonant structure of $N$-body galactic bar at the stage of buckling using action-angle variables. We studied the evolution of vertical actions ($J_z$) and angles associated with vertical resonance ($θ_\mathrm{res}=θ_z - θ_R$) for all orbits in the bar. For this purpose, we divide the orbits into types according to the behavior (libration or circulation) of their resonant angle with respect to fixed points $θ_\mathrm{res}=0$ and $π$ (vertical resonanc…

Modulator-free transmitter for quantum key distribution in metropolitan area networks
Roman Shakhovoy, Evgeniy Dedkov, Igor Kudryashov
https://arxiv.org/abs/2507.00625

Modulator-free transmitter for quantum key distribution in metropolitan area networks
A positive economic effect from the implementation of quantum key distribution (QKD) technology can be achieved only with significant scaling, which involves the deployment of branched metropolitan area networks. The creation of QKD systems suitable for such networks is an important task for the coming years. This paper considers a method for preparing quantum states using pulsed optical injection, which can be used as a basis for a compact modulator-free transmitter ideally suited for QKD at t…

Trump wins the appeals court lottery in D.C.
The panel hearing emergency appeals this month appears to be: Rao, Katsas, Walker.
All three are Trump appointees — in fact the only Trump appointees on the DC Circuit.
They are handling one of the key tariff appeals.
https://b…

Murmurations of Modular Forms and $p$-power Coefficients
Debanjana Kundu, Katharina Mueller
https://arxiv.org/abs/2507.00738 https://…

Murmurations of Modular Forms and $p$-power Coefficients
We extend the work of N. Zubrilina on murmuration of modular forms to the case when prime-indexed coefficients are replaced by squares of primes. Our key observation is that the shape of the murmuration density is the same.

Ken Utilization Layer: Hebbian Replay Within a Student's Ken for Adaptive Knowledge Tracing
Grey Kuling, Marinka Zitnik
https://arxiv.org/abs/2507.00032

Ken Utilization Layer: Hebbian Replay Within a Student's Ken for Adaptive Knowledge Tracing
We introduce KUL-KT, a biologically inspired architecture for knowledge tracing (KT), combining Hebbian memory encoding with gradient-based consolidation in a scalable, input-agnostic framework. KUL-KT adapts the principle of memory consolidation in neural systems, to student modeling by introducing two key innovations: (i) a time-decaying Hebbian memory update that enables graceful forgetting, and (ii) a novel Loss-aligned Internal Target (LIT) method to compute an ideal internal state, allowi…

The Weak Version of the Graph Complement Conjecture and Partial Results for the Delta Conjecture
Francesco Barioli, Shaun M. Fallat, Himanshu Gupta, Zhongshan Li
https://arxiv.org/abs/2505.24577

The Weak Version of the Graph Complement Conjecture and Partial Results for the Delta Conjecture
Since the transformative workshop by the American Institute of Mathematics on the minimum rank of a graph, two longstanding open problems have captivated the community interested in the minimum rank of graphs: the graph complement conjecture and the $δ$-conjecture. In this paper, we use a classical result of Mader (1972) to establish a weak version of the graph complement conjecture for all key minimum rank parameters. In addition, again using the same result of Mader, we present some extremal…

EmbAdvisor: Adaptive Cache Management for Sustainable LLM Serving
Yuyang Tian, Desen Sun, Yi Ding, Sihang Liu
https://arxiv.org/abs/2505.23970 https://

EmbAdvisor: Adaptive Cache Management for Sustainable LLM Serving
As large language models (LLMs) become widely used, their environmental impact$\unicode{x2014}$especially carbon emissions$\unicode{x2014}$has attracted more attention. Prior studies focus on compute-related carbon emissions. In this paper, we find that storage is another key contributor. LLM caching, which saves and reuses KV caches for repeated context, reduces operational carbon by avoiding redundant computation. However, this benefit comes at the cost of embodied carbon from high-capacity, …

Neural Network-based Universal Formulas for Control
Pol Mestres, Jorge Cort\'es, Eduardo D. Sontag
https://arxiv.org/abs/2505.24744 https://

Neural Network-based Universal Formulas for Control
We study the problem of designing a controller that satisfies an arbitrary number of affine inequalities at every point in the state space. This is motivated by the use of guardrails in autonomous systems. Indeed, a variety of key control objectives, such as stability, safety, and input saturation, are guaranteed by closed-loop systems whose controllers satisfy such inequalities. Many works in the literature design such controllers as the solution to a state-dependent quadratic program (QP) who…

"UK must consider food and climate part of national security, say top ex-military figures"
#UK #UnitedKingdom #Climate

AI4Contracts: LLM & RAG-Powered Encoding of Financial Derivative Contracts
Maruf Ahmed Mridul, Ian Sloyan, Aparna Gupta, Oshani Seneviratne
https://arxiv.org/abs/2506.01063

AI4Contracts: LLM & RAG-Powered Encoding of Financial Derivative Contracts
Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) are reshaping how AI systems extract and organize information from unstructured text. A key challenge is designing AI methods that can incrementally extract, structure, and validate information while preserving hierarchical and contextual relationships. We introduce CDMizer, a template-driven, LLM, and RAG-based framework for structured text transformation. By leveraging depth-based retrieval and hierarchical generation, CDMi…

Why did Dolphins, Steelers trade Ramsey and Fitzpatrick, and are they done? https://www.espn.com/nfl/story/_/id/45617965/jalen-ramsey-minkah-fitzpatrick-steelers-dolphins-trade-questions-contract

FOCUS: Boosting Schema-aware Access for KV Stores via Hierarchical Data Management
Zhen Liu, Wenzhe Zhu, Yongkun Li, Yinlong Xu
https://arxiv.org/abs/2505.24221

FOCUS: Boosting Schema-aware Access for KV Stores via Hierarchical Data Management
Persistent key-value (KV) stores are critical infrastructure for data-intensive applications. Leveraging high-performance Non-Volatile Memory (NVM) to enhance KV stores has gained traction. However, previous work has primarily focused on optimizing KV stores themselves, without adequately addressing their integration into applications. Consequently, existing applications, represented by NewSQL databases, still resort to a flat mapping approach, which simply maps structured records into flat KV …

Presto: Hardware Acceleration of Ciphers for Hybrid Homomorphic Encryption
Yeonsoo Jeon, Mattan Erez, Michael Orshansky
https://arxiv.org/abs/2507.00367 ht…

Presto: Hardware Acceleration of Ciphers for Hybrid Homomorphic Encryption
Hybrid Homomorphic Encryption (HHE) combines symmetric key and homomorphic encryption to reduce ciphertext expansion crucial in client-server deployments of HE. Special symmetric ciphers, amenable to efficient HE evaluation, have been developed. Their client-side deployment calls for performant and energy-efficient implementation, and in this paper we develop and evaluate hardware accelerators for the two known CKKS-targeting HHE ciphers, HERA and Rubato. We design vectorized and overlapped f…

@…
Overheard: "Pidgey is beak-deep in Mark Doyon's tragicomic new novel, 'Deep Fried.' Be like Pidgey."
Available now!
https://www.DeepFried.store/

Deep Fried Store — Mark Doyon: Author of 'Deep Fried'
Buy 'Deep Fried' by Mark Doyon in hardcover, trade paperback, and ebook formats.

That tingling in my fingers is carpal tunnel syndrome. What am I doing about it? And what am I doing with Substack?
https://www.bobmuellerwriter.com/fighting-carpal-tunnel-one-key-at-a-time/

Fighting Carpal Tunnel One Key at a Time – Bob Mueller
This week: Talking about keyboard solutions for carpal tunnel, and announcing a new location for some musical posts.

Attention Is Not Always the Answer: Optimizing Voice Activity Detection with Simple Feature Fusion
Kumud Tripathi, Chowdam Venkata Kumar, Pankaj Wasnik
https://arxiv.org/abs/2506.01365

Attention Is Not Always the Answer: Optimizing Voice Activity Detection with Simple Feature Fusion
Voice Activity Detection (VAD) plays a key role in speech processing, often utilizing hand-crafted or neural features. This study examines the effectiveness of Mel-Frequency Cepstral Coefficients (MFCCs) and pre-trained model (PTM) features, including wav2vec 2.0, HuBERT, WavLM, UniSpeech, MMS, and Whisper. We propose FusionVAD, a unified framework that combines both feature types using three fusion strategies: concatenation, addition, and cross-attention (CA). Experimental results reveal that …

Some Properties of Twisted Chevalley Groups
Deep H. Makadiya
https://arxiv.org/abs/2505.24430 https://arxiv.org/pdf/2505.24430…

Some Properties of Twisted Chevalley Groups
This thesis investigates certain structural properties of twisted Chevalley groups over commutative rings, focusing on three key problems. Let $R$ be a commutative ring satisfying mild conditions. Let $G_{π,σ} (Φ, R)$ denote a twisted Chevalley group over $R$, and let $E'_{π, σ} (Φ, R)$ denote its elementary subgroup. The first problem concerns the normality of $E'_{π, σ} (Φ, R, J)$, the relative elementary subgroups at level $J$, in the group $G_{π, σ} (Φ, R)$. The second problem…

A new efficient RPKI Design
Haya Schulmann, Niklas Vogel
https://arxiv.org/abs/2507.01465 https://arxiv.org/pdf/2507.01465

A new efficient RPKI Design
Resource Public Key Infrastructure (RPKI) is a critical security mechanism for BGP, but the complexity of its architecture is a growing concern as its adoption scales. Current RPKI design heavily reuses legacy PKI components, such as X.509 EE-certificates, ASN.1 encoding, and XML-based repository protocols, all these introduce excessive cryptographic validation, redundant metadata, and inefficiencies in both storage and processing. We show that these design choices, although based on establishe…

Cowboys 'should be in NFL playoff mix' if one key unit comes together https://www.si.com/nfl/cowboys/news/dallas-cowboys-should-be-nfl-playoff-mix-one-key-unit-comes-together

EU seals new trade deal with Ukraine, key details still pending: https://benborges.xyz/2025/07/01/eu-seals-new-trade-deal.html

Integration of quantum random number generators with post-quantum cryptography algorithms
Paula Alonso Blanco, Luis Trigo Vidarte, Marc Romeu Casas, Jos\'e Ram\'on Mart\'inez Saavedra, Fernando de la Iglesia, Jordi Mur-Petit, Valerio Pruneri
https://arxiv.org/abs/2507.00658

Integration of quantum random number generators with post-quantum cryptography algorithms
As quantum technologies advance, the security of popular cryptographic protocols becomes more threatened by the capabilities of Cryptographically Relevant Quantum Computers (CRQCs). In this scenario, Post-Quantum Cryptography (PQC) has become a potential solution to prolong the life of existing Public Key Infrastructure (PKI) systems. However, PQC protocols depend on high-quality randomness for key generation and encapsulation procedures, with the quality of the entropy source potentially havin…

The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets
Shenzhe Zhu, Jiao Sun, Yi Nian, Tobin South, Alex Pentland, Jiaxin Pei
https://arxiv.org/abs/2506.00073

The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets
AI agents are increasingly used in consumer-facing applications to assist with tasks such as product search, negotiation, and transaction execution. In this paper, we explore a future scenario where both consumers and merchants authorize AI agents to fully automate negotiations and transactions. We aim to answer two key questions: (1) Do different LLM agents vary in their ability to secure favorable deals for users? (2) What risks arise from fully automating deal-making with AI agents in consum…

MaXIFE: Multilingual and Cross-lingual Instruction Following Evaluation
Yile Liu, Ziwei Ma, Xiu Jiang, Jinglu Hu, Jing Chang, Liang Li
https://arxiv.org/abs/2506.01776

MaXIFE: Multilingual and Cross-lingual Instruction Following Evaluation
With the rapid adoption of large language models (LLMs) in natural language processing, the ability to follow instructions has emerged as a key metric for evaluating their practical utility. However, existing evaluation methods often focus on single-language scenarios, overlooking the challenges and differences present in multilingual and cross-lingual contexts. To address this gap, we introduce MaXIFE: a comprehensive evaluation benchmark designed to assess instruction-following capabilities a…

This https://arxiv.org/abs/2411.03328 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Foundation Models for Rapid Autonomy Validation
We are motivated by the problem of autonomous vehicle performance validation. A key challenge is that an autonomous vehicle requires testing in every kind of driving scenario it could encounter, including rare events, to provide a strong case for safety and show there is no edge-case pathological behavior. Autonomous vehicle companies rely on potentially millions of miles driven in realistic simulation to expose the driving stack to enough miles to estimate rates and severity of collisions. To …

MGS3: A Multi-Granularity Self-Supervised Code Search Framework
Rui Li, Junfeng Kang, Qi Liu, Liyang He, Zheng Zhang, Yunhao Sha, Linbo Zhu, Zhenya Huang
https://arxiv.org/abs/2505.24274

MGS3: A Multi-Granularity Self-Supervised Code Search Framework
In the pursuit of enhancing software reusability and developer productivity, code search has emerged as a key area, aimed at retrieving code snippets relevant to functionalities based on natural language queries. Despite significant progress in self-supervised code pre-training utilizing the vast amount of code data in repositories, existing methods have primarily focused on leveraging contrastive learning to align natural language with function-level code snippets. These studies have overlooke…

GRAND: Graph Release with Assured Node Differential Privacy
Suqing Liu, Xuan Bi, Tianxi Li
https://arxiv.org/abs/2507.00402 https://a…

GRAND: Graph Release with Assured Node Differential Privacy
Differential privacy is a well-established framework for safeguarding sensitive information in data. While extensively applied across various domains, its application to network data -- particularly at the node level -- remains underexplored. Existing methods for node-level privacy either focus exclusively on query-based approaches, which restrict output to pre-specified network statistics, or fail to preserve key structural properties of the network. In this work, we propose GRAND (Graph Relea…

AI Meets Maritime Training: Precision Analytics for Enhanced Safety and Performance
Vishakha Lall, Yisi Liu
https://arxiv.org/abs/2507.01274 https://

AI Meets Maritime Training: Precision Analytics for Enhanced Safety and Performance
Traditional simulator-based training for maritime professionals is critical for ensuring safety at sea but often depends on subjective trainer assessments of technical skills, behavioral focus, communication, and body language, posing challenges such as subjectivity, difficulty in measuring key features, and cognitive limitations. Addressing these issues, this study develops an AI-driven framework to enhance maritime training by objectively assessing trainee performance through visual focus tra…

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education
Niklas Scholz, Manh Hung Nguyen, Adish Singla, Tomohiro Nagashima
https://arxiv.org/abs/2507.00406

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education
Feedback is one of the most crucial components to facilitate effective learning. With the rise of large language models (LLMs) in recent years, research in programming education has increasingly focused on automated feedback generation to help teachers provide timely support to every student. However, prior studies often overlook key pedagogical principles, such as mastery and progress adaptation, that shape effective feedback strategies. This paper introduces a novel pedagogical framework for …

This https://arxiv.org/abs/2504.08756 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

MHTS: Multi-Hop Tree Structure Framework for Generating Difficulty-Controllable QA Datasets for RAG Evaluation
Existing RAG benchmarks often overlook query difficulty, leading to inflated performance on simpler questions and unreliable evaluations. A robust benchmark dataset must satisfy three key criteria: quality, diversity, and difficulty, which capturing the complexity of reasoning based on hops and the distribution of supporting evidence. In this paper, we propose MHTS (Multi-Hop Tree Structure), a novel dataset synthesis framework that systematically controls multi-hop reasoning complexity by leve…

Trump admin will cut hurricane forecasters out of key satellite data in one month (Andrew Freedman/CNN)
https://cnn.com/2025/06/30/weather/hurricanes-satellite-data-outage-delay
http://www.memeorandum.com/250630/p68#a250630p68

Scalable Association of Users in CF-mMIMO: A Synergy of Communication, Sensing, and JCAS
Ahmed Naeem, Anastassia Gharib, El Mehdi Amhoud, H\"useyin Arslan
https://arxiv.org/abs/2506.01060

Scalable Association of Users in CF-mMIMO: A Synergy of Communication, Sensing, and JCAS
Cell-free massive multiple-input multiple-output (CF-mMIMO) is a key enabler for the sixth generation (6G) networks, offering unprecedented spectral efficiency and ubiquitous coverage. In CF-mMIMO systems, the association of user equipments (UEs) to access points (APs) is a critical challenge, as it directly impacts network scalability, interference management, and overall system performance. Conventional association methods primarily focus on optimizing communication performance. However, with…

SIFBench: An Extensive Benchmark for Fatigue Analysis
Tushar Gautam, Robert M. Kirby, Jacob Hochhalter, Shandian Zhe
https://arxiv.org/abs/2506.01173 https…

SIFBench: An Extensive Benchmark for Fatigue Analysis
Fatigue-induced crack growth is a leading cause of structural failure across critical industries such as aerospace, civil engineering, automotive, and energy. Accurate prediction of stress intensity factors (SIFs) -- the key parameters governing crack propagation in linear elastic fracture mechanics -- is essential for assessing fatigue life and ensuring structural integrity. While machine learning (ML) has shown great promise in SIF prediction, its advancement has been severely limited by the …

Uncovering Bias Mechanisms in Observational Studies
Ilker Demirel, Zeshan Hussain, Piersilvio De Bartolomeis, David Sontag
https://arxiv.org/abs/2506.01191

Uncovering Bias Mechanisms in Observational Studies
Observational studies are a key resource for causal inference but are often affected by systematic biases. Prior work has focused mainly on detecting these biases, via sensitivity analyses and comparisons with randomized controlled trials, or mitigating them through debiasing techniques. However, there remains a lack of methodology for uncovering the underlying mechanisms driving these biases, e.g., whether due to hidden confounding or selection of participants. In this work, we show that the r…

ACE-Step: A Step Towards Music Generation Foundation Model
Junmin Gong, Sean Zhao, Sen Wang, Shengyuan Xu, Joe Guo
https://arxiv.org/abs/2506.00045 https:/…

ACE-Step: A Step Towards Music Generation Foundation Model
We introduce ACE-Step, a novel open-source foundation model for music generation that overcomes key limitations of existing approaches and achieves state-of-the-art performance through a holistic architectural design. Current methods face inherent trade-offs between generation speed, musical coherence, and controllability. For example, LLM-based models (e.g. Yue, SongGen) excel at lyric alignment but suffer from slow inference and structural artifacts. Diffusion models (e.g. DiffRhythm), on the…

CityLens: Benchmarking Large Language-Vision Models for Urban Socioeconomic Sensing
Tianhui Liu, Jie Feng, Hetian Pang, Xin Zhang, Tianjian Ouyang, Zhiyuan Zhang, Yong Li
https://arxiv.org/abs/2506.00530

CityLens: Benchmarking Large Language-Vision Models for Urban Socioeconomic Sensing
Understanding urban socioeconomic conditions through visual data is a challenging yet essential task for sustainable urban development and policy planning. In this work, we introduce $\textbf{CityLens}$, a comprehensive benchmark designed to evaluate the capabilities of large language-vision models (LLVMs) in predicting socioeconomic indicators from satellite and street view imagery. We construct a multi-modal dataset covering a total of 17 globally distributed cities, spanning 6 key domains: e…

Multi-dimensional frequency-bin entanglement-based quantum key distribution network
George Claudiu Crisan, Antoine Henry, Dario Alessandro Fioretto, Juan Rafael Alvarez, St\'ephan Monfray, Fr\'ed\'eric Boeuf, Laurent Vivien, Eric Cassan, Carlos Alonso-Ramos, Nadia Belabas
https://arxiv.org/abs/2507.00972

Multi-dimensional frequency-bin entanglement-based quantum key distribution network
Quantum networks enhance quantum communication schemes and link multiple users over large areas. Harnessing high dimensional quantum states - i.e. qu-d-its - allows for a denser transfer of information with increased robustness to noise compared to qubits. Frequency encoding enables access to such qu-d-its at telecom wavelengths, while manipulating quantum information with off-the-shelf fibered devices. We use a low free spectral range silicon microresonator to generate Bell states of dimensi…

Esoteric Language Models
Subham Sekhar Sahoo, Zhihan Yang, Yash Akhauri, Johnna Liu, Deepansha Singh, Zhoujun Cheng, Zhengzhong Liu, Eric Xing, John Thickstun, Arash Vahdat
https://arxiv.org/abs/2506.01928

Esoteric Language Models
Diffusion-based language models offer a compelling alternative to autoregressive (AR) models by enabling parallel and controllable generation. Among this family of models, Masked Diffusion Models (MDMs) achieve the strongest performance but still underperform AR models in perplexity and lack key inference-time efficiency features--most notably, KV caching. In this work, we introduce Eso-LMs, a new family of models that fuses AR and MDM paradigms, enabling smooth interpolation between their perp…

When Digital Twins Meet Large Language Models: Realistic, Interactive, and Editable Simulation for Autonomous Driving
Tanmay Vilas Samak, Chinmay Vilas Samak, Bing Li, Venkat Krovi
https://arxiv.org/abs/2507.00319

When Digital Twins Meet Large Language Models: Realistic, Interactive, and Editable Simulation for Autonomous Driving
Simulation frameworks have been key enablers for the development and validation of autonomous driving systems. However, existing methods struggle to comprehensively address the autonomy-oriented requirements of balancing: (i) dynamical fidelity, (ii) photorealistic rendering, (iii) context-relevant scenario orchestration, and (iv) real-time performance. To address these limitations, we present a unified framework for creating and curating high-fidelity digital twins to accelerate advancements i…

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Attribute-Based Authentication in Secure Group Messaging for Distributed Environments
Messaging Layer security (MLS) and its underlying Continuous Group Key Agreement (CGKA) protocol allows a group of users to share a cryptographic secret in a dynamic manner, such that the secret is modified in member insertions and deletions. Although this flexibility makes MLS ideal for implementations in distributed environments, a number of issues need to be overcome. Particularly, the use of digital certificates for authentication in a group goes against the group members' privacy. In this …

This https://arxiv.org/abs/2412.18407 has been replaced.
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A Statistical Framework for Ranking LLM-Based Chatbots
Large language models (LLMs) have transformed natural language processing, with frameworks like Chatbot Arena providing pioneering platforms for evaluating these models. By facilitating millions of pairwise comparisons based on human judgments, Chatbot Arena has become a cornerstone in LLM evaluation, offering rich datasets for ranking models in open-ended conversational tasks. Building upon this foundation, we propose a statistical framework that incorporates key advancements to address specif…

Social Robots for People with Dementia: A Literature Review on Deception from Design to Perception
Fan Wang, Giulia Perugia, Yuan Feng, Wijnand IJsselsteijn
https://arxiv.org/abs/2507.00963

Social Robots for People with Dementia: A Literature Review on Deception from Design to Perception
As social robots increasingly enter dementia care, concerns about deception, intentional or not, are gaining attention. Yet, how robotic design cues might elicit misleading perceptions in people with dementia, and how these perceptions arise, remains insufficiently understood. In this scoping review, we examined 26 empirical studies on interactions between people with dementia and physical social robots. We identify four key design cue categories that may influence deceptive impressions: cues r…

Bridging the Gap: Enhancing Digital Accessibility for Medicaid Populations in Telehealth Adoption
Vishnu Ramineni, Aditya Gupta, Balakrishna Pothineni, Isan Sahoo, Shivareddy Devarapalli, Balaji Shesharao Ingole
https://arxiv.org/abs/2505.24035

Bridging the Gap: Enhancing Digital Accessibility for Medicaid Populations in Telehealth Adoption
The swift evolution of telehealth has revolutionized how medical professionals deliver healthcare services and boost convenience and accessibility. Yet, the Medicaid population encounters several impediments in utilizing facilities especially owing to poor internet connectivity, less awareness about digital platforms, and a shortage of assistive technologies. The paper aims to explicate key factors behind digital accessibility for Medicaid populations and expounds robust solutions to eradicate …

Key Contract-Year Players for the Cowboys in 2025 https://insidethestar.com/key-contract-year-players-for-the-cowboys-in-2025

An entangled photon source for the telecom C-band based on a semiconductor-confined spin
Petros Laccotripes, Junyang Huang, Ginny Shooter, Andrea Barbiero, Matthew S. Winnel, David A. Ritchie, Andrew J. Shields, Tina Muller, R. Mark Stevenson
https://arxiv.org/abs/2507.01648

An entangled photon source for the telecom C-band based on a semiconductor-confined spin
Multiphoton entangled states are a key resource for quantum networks and measurement-based quantum computation. Scalable protocols for generating such states using solid-state spin-photon interfaces have recently emerged, but practical implementations have so far relied on emitters operating at short wavelengths, incompatible with low-loss fibre transmission. Here, we take a key step towards the generation of telecom wavelength multi-qubit entangled states using an InAs/InP quantum dot. After e…

GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion
Sunkyung Lee, Minjin Choi, Eunseong Choi, Hye-young Kim, Jongwuk Lee
https://arxiv.org/abs/2506.01673

GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion
Generative recommendation is an emerging paradigm that leverages the extensive knowledge of large language models by formulating recommendations into a text-to-text generation task. However, existing studies face two key limitations in (i) incorporating implicit item relationships and (ii) utilizing rich yet lengthy item information. To address these challenges, we propose a Generative Recommender via semantic-Aware Multi-granular late fusion (GRAM), introducing two synergistic innovations. Fir…

Read it in Two Steps: Translating Extremely Low-Resource Languages with Code-Augmented Grammar Books
Chen Zhang, Jiuheng Lin, Xiao Liu, Zekai Zhang, Yansong Feng
https://arxiv.org/abs/2506.01796

Read it in Two Steps: Translating Extremely Low-Resource Languages with Code-Augmented Grammar Books
While large language models (LLMs) have shown promise in translating extremely low-resource languages using resources like dictionaries, the effectiveness of grammar books remains debated. This paper investigates the role of grammar books in translating extremely low-resource languages by decomposing it into two key steps: grammar rule retrieval and application. To facilitate the study, we introduce ZhuangRules, a modularized dataset of grammar rules and their corresponding test sentences. Our …

The Coupling Effect of Sensing Targets on the Environment for 3GPP ISAC Channels: Observation, Modeling, and Validation
Yameng Liu, Jianhua Zhang, Yuxiang Zhang, Hongbo Xing, Yifeng Xiong, Zhiqiang Yuan, Guangyi Liu
https://arxiv.org/abs/2506.00480

The Coupling Effect of Sensing Targets on the Environment for 3GPP ISAC Channels: Observation, Modeling, and Validation
Integrated Sensing And Communication (ISAC) has been identified as a key 6G application by ITU and 3GPP, with standardization efforts already underway. Sensing tasks, such as target localization, demand more precise characterization of the sensing target (ST) in ISAC channel modeling. The ST couples complexly with environmental scatterers, potentially blocking some multipaths and generating new ones, resulting in power variations compared to the original channel. To accurately model this effect…

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance
Zhiqing Luo, Yi Wang, Yingying He, Wei Wang
https://arxiv.org/abs/2506.00837

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance
Cooperative perception enables vehicles to share sensor readings and has become a new paradigm to improve driving safety, where the key enabling technology for realizing this vision is to real-time and accurately align and fuse the perceptions. Recent advances to align the views rely on high-density LiDAR data or fine-grained image feature representations, which however fail to meet the requirements of accuracy, real-time, and adaptability for autonomous driving. To this end, we present MMatch,…

The Age of Sensorial Zero Trust: Why We Can No Longer Trust Our Senses
Fabio Correa Xavier
https://arxiv.org/abs/2507.00907 https://a…

The Age of Sensorial Zero Trust: Why We Can No Longer Trust Our Senses
In a world where deepfakes and cloned voices are emerging as sophisticated attack vectors, organizations require a new security mindset: Sensorial Zero Trust [9]. This article presents a scientific analysis of the need to systematically doubt information perceived through the senses, establishing rigorous verification protocols to mitigate the risks of fraud based on generative artificial intelligence. Key concepts, such as Out-of-Band verification, Vision-Language Models (VLMs) as forensic col…

Norway to send F-35 fighter jets to Poland to cover transportation hub for Ukrainian military aid: https://benborges.xyz/2025/06/30/norway-to-send-f-fighter.html

Human-Machine Collaboration-Guided Space Design: Combination of Machine Learning Models and Humanistic Design Concepts
Yuxuan Yang
https://arxiv.org/abs/2507.01776

Human-Machine Collaboration-Guided Space Design: Combination of Machine Learning Models and Humanistic Design Concepts
The integration of machine learning (ML) into spatial design holds immense potential for optimizing space utilization, enhancing functionality, and streamlining design processes. ML can automate tasks, predict performance outcomes, and tailor spaces to user preferences. However, the emotional, cultural, and aesthetic dimensions of design remain crucial for creating spaces that truly resonate with users-elements that ML alone cannot address. The key challenge lies in harmonizing data-driven effi…

The World As Large Language Models See It: Exploring the reliability of LLMs in representing geographical features
Omid Reza Abbasi, Franz Welscher, Georg Weinberger, Johannes Scholz
https://arxiv.org/abs/2506.00203

The World As Large Language Models See It: Exploring the reliability of LLMs in representing geographical features
As large language models (LLMs) continue to evolve, questions about their trustworthiness in delivering factual information have become increasingly important. This concern also applies to their ability to accurately represent the geographic world. With recent advancements in this field, it is relevant to consider whether and to what extent LLMs' representations of the geographical world can be trusted. This study evaluates the performance of GPT-4o and Gemini 2.0 Flash in three key geospatial …

Edge Computing and its Application in Robotics: A Survey
Nazish Tahir, Ramviyas Parasuraman
https://arxiv.org/abs/2507.00523 https://…

Edge Computing and its Application in Robotics: A Survey
The Edge computing paradigm has gained prominence in both academic and industry circles in recent years. By implementing edge computing facilities and services in robotics, it becomes a key enabler in the deployment of artificial intelligence applications to robots. Time-sensitive robotics applications benefit from the reduced latency, mobility, and location awareness provided by the edge computing paradigm, which enables real-time data processing and intelligence at the network's edge. While t…

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A Gold Standard Dataset for the Reviewer Assignment Problem
Many peer-review venues are using algorithms to assign submissions to reviewers. The crux of such automated approaches is the notion of the "similarity score" -- a numerical estimate of the expertise of a reviewer in reviewing a paper -- and many algorithms have been proposed to compute these scores. However, these algorithms have not been subjected to a principled comparison, making it difficult for stakeholders to choose the algorithm in an evidence-based manner. The key challenge in comparin…

Passive polarization and phase stabilization scheme for Twin-Field QKD
Christiano M. S. Nascimento, Felipe Calliari, Guilherme P. Tempor\~ao
https://arxiv.org/abs/2507.01205

Passive polarization and phase stabilization scheme for Twin-Field QKD
Twin-Field Quantum Key Distribution requires first-order interference between coherent states sent by Alice and Bob in a mid-station Charlie. In order to obtain stable operation and maximum interferometric visibility, not only phase stabilization but also polarization control is required, especially in optical-fiber setups. In this paper, we propose an experimental setup that simultaneously provides passive stabilization of phase and polarization fluctuations by combining a Sagnac-like interfer…

This https://arxiv.org/abs/2505.21906 has been replaced.
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Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge
Vision-language-action (VLA) models have emerged as the next generation of models in robotics. However, despite leveraging powerful pre-trained Vision-Language Models (VLMs), existing end-to-end VLA systems often lose key capabilities during fine-tuning as the model adapts to specific robotic tasks. We argue that a generalizable VLA model should retain and expand upon the VLM's core competencies: 1) Open-world embodied reasoning - the VLA should inherit the knowledge from VLM, i.e., recognize a…

Threshold Signatures for Central Bank Digital Currencies
Mostafa Abdelrahman, Filip Rezabek, Lars Hupel, Kilian Glas, Georg Carle
https://arxiv.org/abs/2506.23294

Threshold Signatures for Central Bank Digital Currencies
Digital signatures are crucial for securing Central Bank Digital Currencies (CBDCs) transactions. Like most forms of digital currencies, CBDC solutions rely on signatures for transaction authenticity and integrity, leading to major issues in the case of private key compromise. Our work explores threshold signature schemes (TSSs) in the context of CBDCs. TSSs allow distributed key management and signing, reducing the risk of a compromised key. We analyze CBDC-specific requirements, considering t…

This https://arxiv.org/abs/2505.17502 has been replaced.
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Demonstration of Quantum-Secure Communications in a Nuclear Reactor
Quantum key distribution (QKD), one of the latest cryptographic techniques, founded on the laws of quantum mechanics rather than mathematical complexity, promises for the first time unconditional secure remote communications. Integrating this technology into the next generation nuclear systems - designed for universal data collection and real-time sharing as well as cutting-edge instrumentation and increased dependency on digital technologies - could provide significant benefits enabling secure…

DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation
Zhao Mandi, Yifan Hou, Dieter Fox, Yashraj Narang, Ajay Mandlekar, Shuran Song
https://arxiv.org/abs/2505.24853

DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation
We study the problem of functional retargeting: learning dexterous manipulation policies to track object states from human hand-object demonstrations. We focus on long-horizon, bimanual tasks with articulated objects, which is challenging due to large action space, spatiotemporal discontinuities, and embodiment gap between human and robot hands. We propose DexMachina, a novel curriculum-based algorithm: the key idea is to use virtual object controllers with decaying strength: an object is first…

A universal constraint for relaxation rates for quantum Markov generators: complete positivity and beyond
Dariusz Chru\'sci\'nski, Frederik vom Ende, Gen Kimura, Paolo Muratore-Ginanneschi
https://arxiv.org/abs/2505.24467

A universal constraint for relaxation rates for quantum Markov generators: complete positivity and beyond
Relaxation rates are key characteristics of quantum processes, as they determine how quickly a quantum system thermalizes, equilibrates, decoheres, and dissipates. While they play a crucial role in theoretical analyses, relaxation rates are also often directly accessible through experimental measurements. Recently, it was shown that for quantum processes governed by Markovian semigroups, the relaxation rates satisfy a universal constraint: the maximal rate is upper-bounded by the sum of all rat…

Flying Co-Stereo: Enabling Long-Range Aerial Dense Mapping via Collaborative Stereo Vision of Dynamic-Baseline
Zhaoying Wang, Xingxing Zuo, Wei Dong
https://arxiv.org/abs/2506.00546

Flying Co-Stereo: Enabling Long-Range Aerial Dense Mapping via Collaborative Stereo Vision of Dynamic-Baseline
Lightweight long-range mapping is critical for safe navigation of UAV swarms in large-scale unknown environments. Traditional stereo vision systems with fixed short baselines face limited perception ranges. To address this, we propose Flying Co-Stereo, a cross-agent collaborative stereo vision system that leverages the wide-baseline spatial configuration of two UAVs for long-range dense mapping. Key innovations include: (1) a dual-spectrum visual-inertial-ranging estimator for robust baseline e…

Quantum Acoustics with Tunable Nonlinearity in the Superstrong Coupling Regime
Marco Scigliuzzo, L\'eo Peyruchat, Riccardo Maria Marabini, Carla Becker, Vincent Jouanny, Per Delsing, Pasquale Scarlino
https://arxiv.org/abs/2505.24865

Quantum Acoustics with Tunable Nonlinearity in the Superstrong Coupling Regime
Precise control of mechanical modes in the quantum regime is a key resource for quantum technologies, offering promising pathways for quantum sensing with macroscopic systems and scalable architectures for quantum simulation. In this work, we realise a multimode mechanical cavity coupled to a superconducting Kerr resonator, which induces nonlinearity in the mechanical modes. The Kerr mode is realised by a flux-tunable SQUID array resonator, while the mechanical modes are implemented by a surfac…

High-fidelity two-qubit quantum logic gates in a trapped-ion chain using axial motional modes
Xingyu Zhao, Ji Bian, Yi Li, Yue Li, Mengxiang Zhang, Yiheng Lin
https://arxiv.org/abs/2507.00504

High-fidelity two-qubit quantum logic gates in a trapped-ion chain using axial motional modes
Trapped-ion systems are one of the leading platforms for quantum information processing, where a key challenge is to scale up system size while maintaining high-fidelity two-qubit operations. A promising approach is to build high-performance modules interconnected via strong coupling. In particular, axial motional modes provide a feasible means of coupling short ion chains. However, previous implementations of fully connected 5-ion modules based on axial modes have been limited to fidelities of…

This https://arxiv.org/abs/2502.12839 has been replaced.
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Reservoir-assisted quantum battery charging at finite temperatures
Quantum batteries, as highly efficient energy storage devices, have garnered significant research interest. A key challenge in their development is to maximize the extractable energy (ergotropy) when operating within a finite-temperature reservoir. To address this, we applied quantum feedback control to the charger and investigated the effects of fermionic and bosonic thermal reservoirs on the performance of quantum batteries, including stored energy, ergotropy, and charging efficiency, in an o…

The Complexity of Thermalization in Finite Quantum Systems
Dhruv Devulapalli, T. C. Mooney, James D. Watson
https://arxiv.org/abs/2507.00405 https://

The Complexity of Thermalization in Finite Quantum Systems
Thermalization is the process through which a physical system evolves toward a state of thermal equilibrium. Determining whether or not a physical system will thermalize from an initial state has been a key question in condensed matter physics. Closely related questions are determining whether observables in these systems relax to stationary values, and what those values are. Using tools from computational complexity theory, we demonstrate that given a Hamiltonian on a finite-sized system, dete…

Variational-Adiabatic Quantum Solver for Systems of Linear Equations with Warm Starts
Claudio Sanavio, Fabio Mascherpa, Alessia Marruzzo, Alfonso Amendola, Sauro Succi
https://arxiv.org/abs/2505.24285

Variational-Adiabatic Quantum Solver for Systems of Linear Equations with Warm Starts
We propose a revisited variational quantum solver for linear systems, designed to circumvent the barren plateau phenomenon by combining two key techniques: adiabatic evolution and warm starts. To this end, we define an initial Hamiltonian with a known ground state which is easily implemented on the quantum circuit, and then "adiabatically" evolve the Hamiltonian by tuning a control variable in such a way that the final ground state matches the solution to the given linear system. This evolution…

Phase estimation in lossy optical interferometry without a reference beam
Jun Tang, Dong-Qing Wang, Wei Zhong, Lan Zhou, Yu-Bo Sheng
https://arxiv.org/abs/2505.24770

Phase estimation in lossy optical interferometry without a reference beam
We investigate phase estimation in a lossy interferometer using entangled coherent states, with particular focus on a scenario where no reference beam is employed. By calculating the quantum Fisher information, we reveal two key results: (1) the metrological equivalence between scenarios with and without a reference beam, established under ideal lossless conditions for the two-phase-shifting configuration,breaks down in the presence of photon loss, and (2) the pronounced inferior performance of…

Optimization Strategies for Variational Quantum Algorithms in Noisy Landscapes
Vojt\v{e}ch Nov\'ak, Ivan Zelinka, V\'aclav Sn\'a\v{s}el
https://arxiv.org/abs/2506.01715

Optimization Strategies for Variational Quantum Algorithms in Noisy Landscapes
Variational Quantum Algorithms (VQAs) are a promising tool in the NISQ era, leveraging quantum computing across diverse fields. However, their performance is hindered by optimization challenges like local minima, barren plateaus, and noise from current quantum hardware. Variational Quantum Eigensolver (VQE), a key subset of VQAs, approximates molecular ground-state energies by minimizing a Hamiltonian, enabling quantum chemistry applications. Beyond this, VQE contributes to condensed matter phy…

This https://arxiv.org/abs/2406.19533 has been replaced.
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Testing quantum theory on curved space-time with quantum networks
Quantum technologies present new opportunities for fundamental tests of nature. One potential application is to probe the interplay between quantum physics and general relativity - a field of physics with no empirical evidence yet. Here we show that quantum networks open a new window to test this interface. We demonstrate how photon mediated entanglement between atomic or atom-like systems can be used to probe time-dilation induced entanglement and interference modulation. Key are non-local mea…

Orthogonal Frequency Division Multiplexing Continuous Variable Terahertz Quantum Key Distribution
Mingqi Zhang, Kaveh Delfanazari
https://arxiv.org/abs/2506.22985

Orthogonal Frequency Division Multiplexing Continuous Variable Terahertz Quantum Key Distribution
We propose a novel continuous-variable quantum key distribution (CVQKD) protocol that employs orthogonal frequency-division multiplexing (OFDM) in the terahertz (THz) band to enable high-throughput and secure quantum communication. By encoding quantum information across multiple subcarriers, the protocol enhances spectral efficiency and mitigates channel dispersion and atmospheric attenuation. We present a comprehensive security analysis under collective Gaussian attacks, considering both terre…