Tootfinder

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…

This https://arxiv.org/abs/2412.03532 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

A complete theory of smoothable compactified Jacobians of nodal curves
We introduce and study a new class of compactified Jacobians for nodal curves, that we call compactified Jacobians of vine type, or simply V-compactified Jacobians. This class is strictly larger than the class of classical compactified Jacobians, as constructed by Oda-Seshadri, Simpson, Caporaso and Esteves. We characterize V-compactified Jacobians as the compactified Jacobians that can arise as limits of Jacobians of smooth curves under a one-parameter smoothing of the nodal curve, extending…

Mathematical Modeling, Analysis and Simulation Utilizing Machine Learning Tools for Assessing the Impact of Climate Lobbying
Andrew Jacoby, Samiran Ghosh, Malay Banerjee, Aditi Ghosh, Padmanabhan Seshaiyer
https://arxiv.org/abs/2505.09617

Mathematical Modeling, Analysis and Simulation Utilizing Machine Learning Tools for Assessing the Impact of Climate Lobbying
Climate policy and legislation has a significant influence on both domestic and global responses to the pressing environmental challenges of our time. The effectiveness of such climate legislation is closely tied to the complex dynamics among elected officials, a dynamic significantly shaped by the relentless efforts of lobbying. This project aims to develop a novel compartmental model to forecast the trajectory of climate legislation within the United States. By understanding the dynamics surr…

Using random perturbations to infer the structure of feedback control in gene expression
Seshu Iyengar, Andreas Hilfinger
https://arxiv.org/abs/2505.04912 …

Using random perturbations to infer the structure of feedback control in gene expression
Feedback in cellular processes is typically inferred through cellular responses to experimental perturbations. Modular response analysis provides a theoretical framework for translating specific perturbations into feedback sensitivities between cellular modules. However, in large-scale drug perturbation studies the effect of any given drug may not be known and may not only affect one module at a time. Here, we analyze the response of gene expression models to random perturbations that affect mu…