Tootfinder

Quantum and Simulated Annealing-Based Iterative Algorithms for QUBO Relaxations of the Sparsest $k$-Subgraph Problem
Omkar Bihani, Roman Ku\v{z}el, Janez Povh, Dunja Pucher
https://arxiv.org/abs/2509.08544

Quantum and Simulated Annealing-Based Iterative Algorithms for QUBO Relaxations of the Sparsest $k$-Subgraph Problem
In this paper, we introduce three QUBO (Quadratic Unconstrained Binary Optimization) relaxations for the sparsest $k$-subgraph (SkS) problem: a quadratic penalty relaxation, a Lagrangian relaxation, and an augmented Lagrangian relaxation. The effectiveness of these approaches strongly depends on the choice of penalty parameters. We establish theoretical results characterizing the parameter values for which the QUBO relaxations are exact. For practical implementation, we propose three iterative …

Semi-Implicit Central scheme for Hyperbolic Systems of Balance Laws with Relaxed Source Term
Sudipta Sahu, Emanuele Macca, Rathan Samala
https://arxiv.org/abs/2510.08134 https:/…

Semi-Implicit Central scheme for Hyperbolic Systems of Balance Laws with Relaxed Source Term
Quasi-linear hyperbolic systems with source terms introduce significant computational challenges due to the presence of a stiff source term. To address this, a finite volume Nessyahu-Tadmor (NT) central numerical scheme is explored and applied to benchmark models such as the Jin-Xin relaxation model, the shallow-water model, the Broadwell model, the Euler equations with heat transfer, and the Euler system with stiff friction to assess their effectiveness. The core part of this numerical scheme …

🔊 #NowPlaying on #BBCRadio3:
#RoundMidnight
- Fresh from Gretchen Parlato & Alan Hampton
Raquel Martins has a third bouquet of Flowers to give to an artist that has influenced her, and tonight she chooses a legend of Brazilian percussion and musical exploration.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002hxkk

From Classical Data to Quantum Advantage -- Quantum Policy Evaluation on Quantum Hardware
Daniel Hein, Simon Wiedemann, Markus Baumann, Patrik Felbinger, Justin Klein, Maximilian Schieder, Jonas Stein, Dani\"elle Schuman, Thomas Cope, Steffen Udluft
https://arxiv.org/abs/2509.07614

From Classical Data to Quantum Advantage -- Quantum Policy Evaluation on Quantum Hardware
Quantum policy evaluation (QPE) is a reinforcement learning (RL) algorithm which is quadratically more efficient than an analogous classical Monte Carlo estimation. It makes use of a direct quantum mechanical realization of a finite Markov decision process, in which the agent and the environment are modeled by unitary operators and exchange states, actions, and rewards in superposition. Previously, the quantum environment has been implemented and parametrized manually for an illustrative benchm…

Semi-implicit strategies for the Serre-Green-Naghdi equations in hyperbolic form. Is hyperbolic relaxation really a good idea?
Emanuele Macca, Walter Boscheri, Mario Ricchiuto
https://arxiv.org/abs/2510.07539

Semi-implicit strategies for the Serre-Green-Naghdi equations in hyperbolic form. Is hyperbolic relaxation really a good idea?
The Serre-Green-Naghdi (SGN) equations provide a valuable framework for modelling fully nonlinear and weakly dispersive shallow-water flows. However, their elliptic formulation can considerably increase the computational cost compared to the Saint-Venant equations. To overcome this difficulty, hyperbolic models (hSGN) have been proposed that replace the elliptic operators with first-order hyperbolic formulations augmented by relaxation terms, which recover the original elliptic formulation in t…

#ThursDeath this week is another older, broken up band that I've been digging lately. SLUGATHOR was from Espoo, Uusimaa, Finland, and was active from 1999-2010. They had a few LPs, but I think my favorite of theirs is 'Circle of Death', originally released in 2006 (this is the 2020 reissue). Grueling, cavernous OSDM here like the Finnish can really nail - the likes of which clearly influence…

Quantum Transport Reservoir Computing
Yecheng Jing, Pengfei Wang, Shuai Zhang, Zhoujie Zeng, Shi-Jun Liang, Wei Chen
https://arxiv.org/abs/2509.07778 https://

Quantum Transport Reservoir Computing
Reservoir computing (RC), a neural network designed for temporal data, enables efficient computation with low-cost training and direct physical implementation. Recently, quantum RC has opened new possibilities for conventional RC and introduced novel ideas to tackle open problems in quantum physics and advance quantum technologies. Despite its promise, it faces challenges, including physical realization, output readout, and measurement-induced back-action. Here, we propose to implement quantum …

When Fine-Tuning is Not Enough: Lessons from HSAD on Hybrid and Adversarial Audio Spoof Detection
Bin Hu, Kunyang Huang, Daehan Kwak, Meng Xu, Kuan Huang
https://arxiv.org/abs/2509.07323

When Fine-Tuning is Not Enough: Lessons from HSAD on Hybrid and Adversarial Audio Spoof Detection
The rapid advancement of AI has enabled highly realistic speech synthesis and voice cloning, posing serious risks to voice authentication, smart assistants, and telecom security. While most prior work frames spoof detection as a binary task, real-world attacks often involve hybrid utterances that mix genuine and synthetic speech, making detection substantially more challenging. To address this gap, we introduce the Hybrid Spoofed Audio Dataset (HSAD), a benchmark containing 1,248 clean and 41,0…

Design of chemical recycling processes for PUR foam under uncertainty
Patrick Lotz, Luca Bosetti, Andr\'e Bardow, Sergio Lucia, Sebastian Engell
https://arxiv.org/abs/2510.08301

Design of chemical recycling processes for PUR foam under uncertainty
Optimization problems in chemical process design involve a significant number of discrete and continuous decisions. When taking into account uncertainties, the search space is very difficult to explore, even for experienced engineers. Moreover, it should be taken into account that while some decisions are fixed at the design stage, other parameters can be adapted to the realization of the uncertainty during the operation of the plant. This leads to a two-stage optimization problem which is diff…

Stable Islands of Weak Gravity
Linus Thummel, Benjamin Bose, Alkistis Pourtsidou
https://arxiv.org/abs/2508.05729 https://arxiv.org/pdf/2508.05729

Stable Islands of Weak Gravity
We present an exploration of the phenomenology of Horndeski gravity, focusing on regimes that produce weak gravity compared to General Relativity. This letter introduces a novel method to generate models of modified gravity theories that produce a specific observational behaviour while fulfilling stability criteria, without imposing a fixed parametrisation. We start from the inherently stable basis of linear Horndeski theory, implemented in the recently released Einstein-Boltzmann solver mochi_…