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HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: math.CO
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The search results for "math.CO" do not directly relate to combinatorics but provide insights into diverse topics such as quantum mechanics, French digital mathematical literature, self-supervised learning, differential similarity in higher dimensions, and advanced graph analysis for brain connectomes. While the articles cover mathematical and computational advancements, none explicitly focus on combinatorial mathematics. Instead, they highlight interdisciplinary applications of mathematical concepts in quantum physics, machine learning, and graph theory.
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arxiv.org
Quantum Mechanics: Bell and Quantum Entropy for the Classroom

In this article we are willing to give some first steps to quantum mechanics and a motivation of quantum mechanics and its interpretation for undergraduate students not from physics. After a short historical review in the development we discuss philosophical, physical and mathematical interpretation…

physics.hist-ph physics.ed-ph
arxiv.org
Report on the current state of the French DMLs

This is a survey of the existing digital collections of French mathematical literature, run by non-profit organizations. This includes research monographs, serials, proceedings, Ph. D. theses, collected works, books and personal websites.…

cs.DL
semanticscholar.org
On the Origin of Species of Self-Supervised Learning

In the quiet backwaters of cs.CV, cs.LG and stat.ML, a cornucopia of new learning systems is emerging from a primordial soup of mathematics-learning systems with no need for external supervision. To date, little thought has been given to how these self-supervised learners have sprung into being or t…

semanticscholar.org
Differential Similarity in Higher Dimensional Spaces: Theory and Applications

This paper presents an extension and an elaboration of the theory of differential similarity, which was originally proposed in arXiv:1401.2411 [cs.LG]. The goal is to develop an algorithm for clustering and coding that combines a geometric model with a probabilistic model in a principled way. For si…

arxiv.org
Fast Directed $q$-Analysis for Brain Graphs

Recent innovations in reconstructing large scale, full-precision, neuron-synapse-scale connectomes demand subsequent improvements to graph analysis methods to keep up with the growing complexity and size of the data. One such tool is the recently introduced directed $q$-analysis. We present numerous…

q-bio.QM math.AT
arxiv.org
Autonomous motion in changing environment, fibrations and reaction mechanisms

In this paper we develop further the formalism of fibrations of configuration spaces as a tool for modelling motion of autonomous systems in variable environments. We analyse the situations when the external conditions may change during the motion of the system and analyse two possibilities: (a) whe…

math.AT math.OC
arxiv.org
Bures geometry of the three-level quantum systems. II

For the eight-dimensional Riemannian manifold comprised by the three-level quantum systems endowed with the Bures metric, we numerically approximate the integrals over the manifold of several functions of the curvature and of its (anti-)self-dual parts. The motivation for pursuing this research is t…

math-ph math.DG physics.comp-ph quant-ph
arxiv.org
Mechanistic insights into water autoionization

Water autoionization plays a critical role in determining pH and properties of various chemical and biological processes occurring in the water mediated environment. The strikingly unsymmetrical potential energy surface of the dissociation process poses a great challenge to the mechanistic study. He…

physics.chem-ph physics.comp-ph
arxiv.org
The Jacobi identity for graded-commutative variational Schouten bracket revisited

This short note contains an explicit proof of the Jacobi identity for variational Schouten bracket in $Z_2$-graded commutative setup. For the reasoning to be rigorous, it refers to the product bundle geometry of iterated variations (see arXiv:1312.1262 [math-ph]); no ad hoc regularizations occur any…

math-ph hep-th math.DG nlin.SI
arxiv.org
Optimal quantum pumps have a vanishing transmission coefficient

In a recent Letter, Avron et. al (math-ph/0105011) introduced a notion of optimal quantum pumps. These are adiabatic quantum pumps which work without dissipation. In particular, they produce neither entropy nor noise. In the present Comment we show that in the absence of magnetic field optimal quant…

cond-mat.mes-hall