Tootfinder

Excited-CAFQA: A classical simulation bootstrap for the variational estimation of molecular excited states
Bikrant Bhattacharyya, Gokul Ravi
https://arxiv.org/abs/2509.20588 htt…

Excited-CAFQA: A classical simulation bootstrap for the variational estimation of molecular excited states
Variational Quantum Algorithms (VQAs) are iterative algorithms suited to implementation on current-era quantum devices. VQAs employ classical optimization to minimize cost functions evaluated on quantum circuits. However, the extent to which VQAs manage noise is often insufficient for quantum chemistry applications. One method of improving VQAs is through accurate ansatz initialization. The CAFQA (Clifford Ansatz For Quantum Accuracy) protocol runs a discrete search through a classically simula…

Optimizing Neural Networks with Learnable Non-Linear Activation Functions via Lookup-Based FPGA Acceleration
Mengyuan Yin, Benjamin Chen Ming Choong, Chuping Qu, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
https://arxiv.org/abs/2508.17069

Optimizing Neural Networks with Learnable Non-Linear Activation Functions via Lookup-Based FPGA Acceleration
Learned activation functions in models like Kolmogorov-Arnold Networks (KANs) outperform fixed-activation architectures in terms of accuracy and interpretability; however, their computational complexity poses critical challenges for energy-constrained edge AI deployments. Conventional CPUs/GPUs incur prohibitive latency and power costs when evaluating higher order activations, limiting deployability under ultra-tight energy budgets. We address this via a reconfigurable lookup architecture with …

SciReasoner: Laying the Scientific Reasoning Ground Across Disciplines
Yizhou Wang, Chen Tang, Han Deng, Jiabei Xiao, Jiaqi Liu, Jianyu Wu, Jun Yao, Pengze Li, Encheng Su, Lintao Wang, Guohang Zhuang, Yuchen Ren, Ben Fei, Ming Hu, Xin Chen, Dongzhan Zhou, Junjun He, Xiangyu Yue, Zhenfei Yin, Jiamin Wu, Qihao Zheng, Yuhao Zhou, Huihui Xu, Chenglong Ma, Yan Lu, Wenlong Zhang, Chunfeng Song, Philip Torr, Shixiang Tang, Xinzhu Ma, Wanli Ouyang, Lei Bai

SciReasoner: Laying the Scientific Reasoning Ground Across Disciplines
We present a scientific reasoning foundation model that aligns natural language with heterogeneous scientific representations. The model is pretrained on a 206B-token corpus spanning scientific text, pure sequences, and sequence-text pairs, then aligned via SFT on 40M instructions, annealed cold-start bootstrapping to elicit long-form chain-of-thought, and reinforcement learning with task-specific reward shaping, which instills deliberate scientific reasoning. It supports four capability famili…

Dynamic System Optimum: A Projection-based Framework for Macroscopic Traffic Models
Mostafa Ameli, Sergio F. A. Batista, Jean-Patrick Lebacque, Monica Menendez
https://arxiv.org/abs/2508.18392

Dynamic System Optimum: A Projection-based Framework for Macroscopic Traffic Models
This paper proposes the theoretical grounds for emulating the Dynamic System Optimum with desired arrival times on regional networks, using aggregated traffic dynamics based on the Macroscopic Fundamental Diagram. We used a projection gradient-based solution method that avoids the need to compute approximations of marginal travel times. We demonstrate the application of our framework on 8-region networks and show that our approach yields improved solutions compared to classical approximation me…

Performance Consistency of Learning Methods for Information Retrieval Tasks
Meng Yuan, Justin Zobel
https://arxiv.org/abs/2509.20804 https://arxiv.org/pdf/…

Performance Consistency of Learning Methods for Information Retrieval Tasks
A range of approaches have been proposed for estimating the accuracy or robustness of the measured performance of IR methods. One is to use bootstrapping of test sets, which, as we confirm, provides an estimate of variation in performance. For IR methods that rely on a seed, such as those that involve machine learning, another approach is to use a random set of seeds to examine performance variation. Using three different IR tasks we have used such randomness to examine a range of traditional s…

Towards the Giant Radio Array for Neutrino Detection (GRAND): the GRANDProto300 and GRAND@Auger prototypes
GRAND Collaboration, Jaime \'Alvarez-Muniz, Rafael Alves Batista, Aur\'elien Benoit-L\'evy, Teresa Bister, Martina Bohacova, Mauricio Bustamante, Washington Carvalho, Yiren Chen, LingMei Cheng, Simon Chiche, Jean-Marc Colley, Pablo Correa, Nicoleta Cucu Laurenciu, Zigao Dai, Rogerio M. de Almeida, Beatriz de Errico, Jo\~ao R. T. de Mello Neto, Krijn D. de Vries, Valent…

Towards the Giant Radio Array for Neutrino Detection (GRAND): the GRANDProto300 and GRAND@Auger prototypes
The Giant Radio Array for Neutrino Detection (GRAND) is a proposed multi-messenger observatory of ultra-high-energy (UHE) particles of cosmic origin. Its main goal is to find the long-sought origin of UHE cosmic rays by detecting large numbers of them and the secondary particles created by their interaction -- gamma rays, and, especially, neutrinos. GRAND will do so using large arrays of radio antennas that look for the radio signals emitted by the air showers initiated by the interactions of t…

Den Preis für "Kleines Budget" beim digAMus Award erhält der Podcast "Mummies & Magic - Altägypten in der Popkultur".
❓️Was hat es mit den Legenden um das alte Ägypten WIRKLICH auf sich?
❗️Hört es Euch selbst an!
Herzlichen Glückwunsch an die begeisterten, begeisternden und überraschten GewinnerInnen!
#digAMus

01:17—Good night #Fediverse! 😴💤
#BuddhaQuotes #Buddhism #Buddha

Topological Stabilization via Higgs and $Z$-Boson Repulsions in Electroweak Monopole-Antimonopole Pairs
Dan Zhu, Xurong Chen, Khai-Ming Wong
https://arxiv.org/abs/2508.16193 htt…

Topological Stabilization via Higgs and $Z$-Boson Repulsions in Electroweak Monopole-Antimonopole Pairs
We demonstrate dual repulsive mechanisms stabilizing Cho-Maison monopole-antimonopole pairs (MAPs) through stress-energy tensor analysis. Higgs-mediated repulsion exhibits non-monotonic dependence on topological charge and Higgs self-coupling, confirming its topological origin while revealing a mass-controlled range transition beyond Yukawa suppression. Simultaneously, $Z$-boson field generates localized repulsive cores of radius $R_c\approx 0.8$ $m_W^{-1}$, which aligns with weak interaction s…

AdS$\times$S Mellin Bootstrap, Hidden 10d Symmetry and Five-point Kaluza-Klein Functions in $\mathcal{N}=4$ SYM
Bruno Fernandes, Vasco Goncalves, Zhongjie Huang, Yichao Tang, Joao Vilas Boas, Ellis Ye Yuan
https://arxiv.org/abs/2507.14124

AdS$\times$S Mellin Bootstrap, Hidden 10d Symmetry and Five-point Kaluza-Klein Functions in $\mathcal{N}=4$ SYM
We propose an AdS$\times$S factorization formula at the level of the generating function for correlators with arbitrary Kaluza-Klein configurations, and implement it in the supergravity limit of $\mathcal{N}=4$ super Yang-Mills. By incorporating this mechanism into Mellin space bootstrap, together with an observed $Z_2$ symmetry under AdS$\ \leftrightarrow\ $S, we manage to simultaneously work out unified formulas both for all five-point half-BPS correlators and for all four-point correlators w…