Mathematical physics sits at the fascinating intersection where abstract equations meet the fundamental laws of our universe. This field uses rigorous mathematical tools to model everything from the behavior of subatomic particles to the curvature of spacetime, turning complex theories into testable predictions. It is the language through which physicists describe reality, bridging the gap between pure mathematics and physical observation.

On Gist.Science, we process every new preprint published in this category on arXiv to make these dense studies accessible to everyone. Whether you are a specialist or a curious reader, you will find both plain-language overviews and detailed technical summaries for each paper. Below are the latest mathematical physics papers from arXiv, curated to help you explore the cutting edge of theoretical science.

🔢 mathematics

Learning Latent Graph Geometry via Fixed-Point Schrödinger-Type Activation: A Theoretical Study

This paper theoretically establishes that neural architectures using fixed-point Schrödinger-type dynamics on learned latent graphs are equivalent to global stationary systems on supra-graphs, providing a unified framework that links these models to sheaf-based architectures and ensures complexity is governed by sparse graph geometry rather than dense connectivity.

Dmitry Pasechnyuk-Vilensky, Martin Takáč2026-04-28
🔬 atomic physics

Overcoming limitations on gate fidelity in noisy static exchange-coupled surface qubits

This work employs simulations of open quantum systems and the theory of quantum optimal control, specifically the Krotov method, to overcome noise-induced limitations in statically coupled exchange surface qubits, and demonstrates that high-precision operations are achievable through optimized experimental designs that surpass conventional Rabi driving.

Hoang-Anh Le, Saba Taherpour, Denis Janković, Christoph Wolf2026-04-28
🔬 applied physics

Defining the Magnetization State of LCF Magnets: From Material Properties to Motor-Level Metrics

This paper proposes a unified framework of four magnetization state definitions—ranging from intrinsic material properties to motor-level electrical quantities—to bridge the gap between material characterization and performance evaluation in variable flux motors using low coercive force magnets.

Taha El Hajji, Aleksandr Nadkin, Stefan Skoog, Lars Sjöberg, Kristoffer Nilsson, Anthony C. Morcos2026-04-28
🌀 nonlinear sciences

Universal tracer statistics in single-file transport

This paper demonstrates that one-dimensional hard-rod gases governed by either stochastic (diffusive) or unitary (ballistic) dynamics exhibit identical non-Gaussian fluctuations in the large-scale, long-time one-time joint distribution of tracer positions, revealing an emergent universality despite their fundamentally different microscopic behaviors.

Soumyabrata Saha, Jitendra Kethepalli, Benjamin Guiselin, Jacopo De Nardis, Tridib Sadhu2026-04-28