Tootfinder

This https://arxiv.org/abs/2407.11523 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Improved Belief Propagation Decoding Algorithms for Surface Codes
Quantum error correction is crucial for universal fault-tolerant quantum computing. Highly accurate and low-time-complexity decoding algorithms play an indispensable role in ensuring quantum error correction works effectively. Among existing decoding algorithms, belief propagation (BP) is notable for its nearly linear time complexity and general applicability to stabilizer codes. However, BP's decoding accuracy without post-processing is unsatisfactory in most situations. This article focuses o…

Improved belief propagation is sufficient for real-time decoding of quantum memory
Tristan M\"uller, Thomas Alexander, Michael E. Beverland, Markus B\"uhler, Blake R. Johnson, Thilo Maurer, Drew Vandeth
https://arxiv.org/abs/2506.01779

Improved belief propagation is sufficient for real-time decoding of quantum memory
We introduce a new heuristic decoder, Relay-BP, targeting real-time quantum circuit decoding for large-scale quantum computers. Relay-BP achieves high accuracy across circuit-noise decoding problems: significantly outperforming BP+OSD+CS-10 for bivariate-bicycle codes and comparable to min-weight-matching for surface codes. As a lightweight message-passing decoder, Relay-BP is inherently parallel, enabling rapid low-footprint decoding with FPGA or ASIC real-time implementations, similar to stan…

Shaping core dynamos in A-type stars: The role of dipolar fossil fields
J. P. Hidalgo, P. J. K\"apyl\"a, D. R. G Schleicher, C. A. Ortiz-Rodr\'iguez, F. H. Navarrete
https://arxiv.org/abs/2506.01017

Shaping core dynamos in A-type stars: The role of dipolar fossil fields
Large-scale magnetic fields of Ap/Bp stars are stable over long timescales and have typically simple dipolar geometries, leading to the idea of a fossil origin. These stars are also expected to have convective cores that can host strong dynamo action. We aim to study the interaction between the magnetic fields generated by the convective core dynamo of the star, and a dipolar fossil field reminiscent of observed magnetic topologies of Ap/Bp stars. We use numerical 3D star-in-a-box simulations o…

The chemical and spatial variations of the bulge's velocity ellipsoids
Luis M. San Martin Fernandez, Steven Gough-Kelly, Victor P. Debattista, Oscar A. Gonzalez, Ilin Lazar, Alvaro Rojas-Arriagada, Leandro Beraldo e Silva
https://arxiv.org/abs/2506.02876

The chemical and spatial variations of the bulge's velocity ellipsoids
We study the velocity ellipsoids in an $N$-body$+$SPH simulation of a barred galaxy which forms a bar with a BP bulge. We focus on the 2D kinematics, and quantify the velocity ellipses by the anisotropy, $β_{ij}$, the correlation, $ρ_{ij}$, and the vertex deviation, $l_{\rm v}$. We explore the variations in these quantities based on stellar age within the bulge and compare these results with the Milky Way's bulge using data from APOGEE DR16 and {\it Gaia} DR3. We first explore the variation o…

Is dit net zoiets als "een schonere wereld begint bij jezelf" van BP?
https://www.bnr.nl/nieuws/economie/10574866/geld-klotst-tegen-de-plinten-bij-huishoudens-maar-moeten-minder-sparen
S…

This https://arxiv.org/abs/2503.04672 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Finding White Dwarfs' Hidden Companions using an Unsupervised Machine Learning Technique
White dwarfs (WD) with main-sequence (MS) companions are crucial probes of stellar evolution. However, due to the significant difference in their luminosities, the WD is often outshined by the MS star. The aim of this work is to find hidden companions in Gaia's sample of WD candidates. Our methodology involves applying an unsupervised machine learning algorithm for dimensionality reduction and clustering, known as Self-Organizing Map (SOM), to Gaia BP/RP (XP) spectra. This strategy allows us to…

This https://arxiv.org/abs/2504.00744 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Spatiotemporal Synchronization of Distributed Arrays using Particle-Based Loopy Belief Propagation
Sensing and imaging with distributed radio infrastructures (e.g., distributed MIMO, wireless sensor networks, multistatic radar) rely on knowledge of the positions, orientations, and clock parameters of distributed apertures. We extend a particle-based loopy belief propagation (BP) algorithm to cooperatively synchronize distributed agents to anchors in space and time. Substituting marginalization over nuisance parameters with approximate but closed-form concentration, we derive an efficient est…

This https://arxiv.org/abs/2502.20411 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNE_…

Backpropagation-free Spiking Neural Networks with the Forward-Forward Algorithm
Spiking Neural Networks (SNNs) offer a biologically inspired computational paradigm that emulates neuronal activity through discrete spike-based processing. Despite their advantages, training SNNs with traditional backpropagation (BP) remains challenging due to computational inefficiencies and a lack of biological plausibility. This study explores the Forward-Forward (FF) algorithm as an alternative learning framework for SNNs. Unlike backpropagation, which relies on forward and backward passes…

This https://arxiv.org/abs/2502.20411 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNE_…

Backpropagation-free Spiking Neural Networks with the Forward-Forward Algorithm
Spiking Neural Networks (SNNs) offer a biologically inspired computational paradigm that emulates neuronal activity through discrete spike-based processing. Despite their advantages, training SNNs with traditional backpropagation (BP) remains challenging due to computational inefficiencies and a lack of biological plausibility. This study explores the Forward-Forward (FF) algorithm as an alternative learning framework for SNNs. Unlike backpropagation, which relies on forward and backward passes…