Tootfinder

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling
Yunsoo Ha, Juliane Mueller
https://arxiv.org/abs/2508.03901 https://arxiv.org/pdf/2508…

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling
Simulation optimization is often hindered by the high cost of running simulations. Multi-fidelity methods offer a promising solution by incorporating cheaper, lower-fidelity simulations to reduce computational time. However, the bias in low-fidelity models can mislead the search, potentially steering solutions away from the high-fidelity optimum. To overcome this, we propose ASTRO-MFDF, an adaptive sampling trust-region method for multi-fidelity simulation optimization. ASTRO-MFDF features two …

LMDG: Advancing Lateral Movement Detection Through High-Fidelity Dataset Generation
Anas Mabrouk, Mohamed Hatem, Mohammad Mamun, Sherif Saad
https://arxiv.org/abs/2508.02942 htt…

LMDG: Advancing Lateral Movement Detection Through High-Fidelity Dataset Generation
Lateral Movement (LM) attacks continue to pose a significant threat to enterprise security, enabling adversaries to stealthily compromise critical assets. However, the development and evaluation of LM detection systems are impeded by the absence of realistic, well-labeled datasets. To address this gap, we propose LMDG, a reproducible and extensible framework for generating high-fidelity LM datasets. LMDG automates benign activity generation, multi-stage attack execution, and comprehensive label…

Generalized Quantum Hadamard Test for Machine Learning
Vivek Mehta, Arghya Choudhury, Utpal Roy
https://arxiv.org/abs/2508.04065 https://arxiv.org/pdf/2508…

Generalized Quantum Hadamard Test for Machine Learning
Quantum machine learning models are designed for performing learning tasks. Some quantum classifier models are proposed to assign classes of inputs based on fidelity measurements. Quantum Hadamard test is a well-known quantum algorithm for computing these fidelities. However, the basic requirement for deploying the quantum Hadamard test maps input space to L2-normalize vector space. Consequently, computed fidelities correspond to cosine similarities in mapped input space. We propose a quantum H…

Texas flash flood results multiple missing and fatalities (Maydeen Merino/Washington Examiner)
https://www.washingtonexaminer.com/news/3463190/texas-flash-flood-results-multiple-missing-fatalities/
http://www.memeorandum.com/250704/p52#a250704p52

“The modern-day system of colonialism and sharecropping being constructed by the new East India Company that is Silicon Valley isn’t uncouth or stupid enough to put people in physical shackles. It doesn’t want to own your body, it is content with owning your simulation. And yet, as we have already seen, the more data they have about you – the higher the fidelity of your simulation – the closer they are to owning you.
…
If this doesn’t sound like democracy, it is because it is not…

If you need a poster, I have you covered #art

Death toll in Russia's July 3 attack on Poltava rises to 3: https://benborges.xyz/2025/07/06/death-toll-in-russias-july.html

Towards High-Fidelity, Identity-Preserving Real-Time Makeup Transfer: Decoupling Style Generation
Lydia Kin Ching Chau, Zhi Yu, Ruo Wei Jiang
https://arxiv.org/abs/2509.02445 ht…

Towards High-Fidelity, Identity-Preserving Real-Time Makeup Transfer: Decoupling Style Generation
We present a novel framework for real-time virtual makeup try-on that achieves high-fidelity, identity-preserving cosmetic transfer with robust temporal consistency. In live makeup transfer applications, it is critical to synthesize temporally coherent results that accurately replicate fine-grained makeup and preserve user's identity. However, existing methods often struggle to disentangle semitransparent cosmetics from skin tones and other identify features, causing identity shifts and raising…

Unifying inequalities bounding quantum speed limits
Trist\'an M. Os\'an, Yanet \'Alvarez, Mariela Portesi, Pedro Walter Lamberti
https://arxiv.org/abs/2509.04283 htt…

Unifying inequalities bounding quantum speed limits
In this work, we investigate the role of generalized fidelity measures in the derivation of quantum speed limits (QSLs) within a geometric approach. We establish a general theoretical structure and demonstrate that, once a specific generalized fidelity is selected, the resulting Margolus-Levitin and Mandelstam-Tamm bounds for both unitary and non-unitary (Lindblad-type) dynamics depend solely on the chosen fidelity measure. These bounds are shown to be entirely independent of the particular cho…

High-fidelity control of a $^{13}$C nuclear spin coupled to a tin-vacancy center in diamond
Jeremias Resch, Ioannis Karapatzakis, Mohamed Elshorbagy, Marcel Schrodin, Philipp Fuchs, Philipp Gra{\ss}hoff, Luis Kussi, Christoph S\"urgers, Cyril Popov, Christoph Becher, Wolfgang Wernsdorfer, David Hunger
https://arxiv.org/abs/2509.03354

High-fidelity control of a $^{13}$C nuclear spin coupled to a tin-vacancy center in diamond
Nuclear spins near group-IV defects in diamond are promising candidates for quantum memories in quantum network applications. Here, we demonstrate high-fidelity control of a single $^{13}$C nuclear spin coupled to a tin-vacancy (SnV) center in diamond. We perform a combination of optical and microwave pumping to achieve initialization into a combined electro-nuclear spin state with a fidelity of $99.74(3)\,\%$. Harnessing a superconducting waveguide for radio-frequency driving, we demonstrate p…