Tootfinder

Surrogate Quantum Circuit Design for the Lattice Boltzmann Collision Operator
Monica L\u{a}c\u{a}tu\c{s}, Matthias M\"oller
https://arxiv.org/abs/2507.12256

Surrogate Quantum Circuit Design for the Lattice Boltzmann Collision Operator
Direct numerical simulation of turbulent flows at high Reynolds numbers remains a major challenge for traditional computational fluid dynamics (CFD) tools running on classical computer hardware. This has motivated growing interest in quantum algorithms for CFD to enable flow simulations on quantum computers. The reason being that these computers are expected to deliver potential speed-ups for certain problems. One promising quantum CFD approach is a fully quantum implementation of the lattice B…

To dig slightly deeper here, I think that there's a feedback loop between "fall in love/wait for your perfect match (and by the way girls the only career you should aspire to is the literally unattainable 'princess'" Disney stuff and this "my characters are complex I'm so sophisticated; they suffer but it's not intolerable and their lives are good enough despite the imperfections" crap that gets praised as so evocative of the human condition. In fact, I think it merely evokes the condition of its authors & fans who were poisoned by the Disney in their youth and who have remained bad as relationships ever since, though this is not exactly their fault. In any case, their white middle-aged wisdom-shaped-but-quite bitter and intricately-constructed-so-it's-hard-to-see-the-really-untrue-character-facets work ends up keeping their audience within the "romance is luck" cult by way of reassuring them that a middling romance with lots of doubt and complications is "just life" even though the author doesn't actually have any broader perspective on what life is than anyone else.
This has turned into a bit of a rant, but I think I'll just add that reading Mama by Nikkya Hargrove just before Dream State helped immensely to see how the distant & awkward parent-child relationships of the latter are not a product of human nature but instead of white western culture & capitalism.
(The defeatism about climate change is a whole nother dimension of wrong about Dream State, by that's a separate rant.)

Value-Based Large Language Model Agent Simulation for Mutual Evaluation of Trust and Interpersonal Closeness
Yuki Sakamoto, Takahisa Uchida, Hiroshi Ishiguro
https://arxiv.org/abs/2507.11979

Value-Based Large Language Model Agent Simulation for Mutual Evaluation of Trust and Interpersonal Closeness
Large language models (LLMs) have emerged as powerful tools for simulating complex social phenomena using human-like agents with specific traits. In human societies, value similarity is important for building trust and close relationships; however, it remains unexplored whether this principle holds true in artificial societies comprising LLM agents. Therefore, this study investigates the influence of value similarity on relationship-building among LLM agents through two experiments. First, in a…

Leveraging Sidewalk Robots for Walkability-Related Analyses
Xing Tong, Michele D. Simoni, Kaj Munhoz Arfvidsson, Jonas M{\aa}rtensson
https://arxiv.org/abs/2507.12148

Leveraging Sidewalk Robots for Walkability-Related Analyses
Walkability is a key component of sustainable urban development, while collecting detailed data on its related features remains challenging due to the high costs and limited scalability of traditional methods. Sidewalk delivery robots, increasingly deployed in urban environments, offer a promising solution to these limitations. This paper explores how these robots can serve as mobile data collection platforms, capturing sidewalk-level features related to walkability in a scalable, automated, an…

Evasion Under Blockchain Sanctions
Endong Liu, Mark Ryan, Liyi Zhou, Pascal Berrang
https://arxiv.org/abs/2507.11721 https://arxiv.or…

Evasion Under Blockchain Sanctions
Sanctioning blockchain addresses has become a common regulatory response to malicious activities. However, enforcement on permissionless blockchains remains challenging due to complex transaction flows and sophisticated fund-obfuscation techniques. Using cryptocurrency mixing tool Tornado Cash as a case study, we quantitatively assess the effectiveness of U.S. Office of Foreign Assets Control (OFAC) sanctions over a 957-day period, covering 6.79 million Ethereum blocks and 1.07 billion transact…

Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models
Marouane Il Idrissi, Agathe Fernandes Machado, Arthur Charpentier
https://arxiv.org/abs/2506.13900

Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models
Cooperative game theory has become a cornerstone of post-hoc interpretability in machine learning, largely through the use of Shapley values. Yet, despite their widespread adoption, Shapley-based methods often rest on axiomatic justifications whose relevance to feature attribution remains debatable. In this paper, we revisit cooperative game theory from an interpretability perspective and argue for a broader and more principled use of its tools. We highlight two general families of efficient al…

A Systematic Review of User-Centred Evaluation of Explainable AI in Healthcare
Ivania Donoso-Guzm\'an, Krist\'yna Sirka Kacaf\'irkov\'a, Maxwell Szymanski, An Jacobs, Denis Parra, Katrien Verbert
https://arxiv.org/abs/2506.13904

A Systematic Review of User-Centred Evaluation of Explainable AI in Healthcare
Despite promising developments in Explainable Artificial Intelligence, the practical value of XAI methods remains under-explored and insufficiently validated in real-world settings. Robust and context-aware evaluation is essential, not only to produce understandable explanations but also to ensure their trustworthiness and usability for intended users, but tends to be overlooked because of no clear guidelines on how to design an evaluation with users. This study addresses this gap with two ma…

Mapping Emotions in the Brain: A Bi-Hemispheric Neural Model with Explainable Deep Learning
David Freire-Obreg\'on, Agnieszka Dubiel, Prasoon Kumar Vinodkumar, Gholamreza Anbarjafari, Dorota Kami\'nska, Modesto Castrill\'on-Santana
https://arxiv.org/abs/2507.12625

Mapping Emotions in the Brain: A Bi-Hemispheric Neural Model with Explainable Deep Learning
Recent advances have shown promise in emotion recognition from electroencephalogram (EEG) signals by employing bi-hemispheric neural architectures that incorporate neuroscientific priors into deep learning models. However, interpretability remains a significant limitation for their application in sensitive fields such as affective computing and cognitive modeling. In this work, we introduce a post-hoc interpretability framework tailored to dual-stream EEG classifiers, extending the Local Interp…

Scalable dissipative quantum error correction for discrete-variable codes
Ivan Rojkov, Elias Zapusek, Florentin Reiter
https://arxiv.org/abs/2507.12534 htt…

Scalable dissipative quantum error correction for discrete-variable codes
Dissipative quantum error correction (QEC) autonomously protects quantum information using engineered dissipation and offers a promising alternative to error correction via measurement and feedback. However, scalability remains a challenge, as correcting high-weight errors typically requires increasing dissipation rates and exponentially many correction operators. Here, we present a scalable dissipative QEC protocol for discrete-variable codes, correcting multi-qubit errors via a trickle-down m…