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

Reconstruction of Quantum Fields: CCR, CAR and Transfields

This paper derives a new class of creation-annihilation algebras for bosons and fermions by generalizing particle symmetrization through quotients of distinguishable-particle state spaces, demonstrating that these algebras reproduce the partition functions of transtatistics under specific operational principles regarding mode labeling, unitary invariance, and local particle counting.

Nicolás Medina Sánchez, Borivoje Dakić2026-04-15
⚛️ quantum physics

Quantum algorithms for Young measures: applications to nonlinear partial differential equations

This paper proposes using quantum linear programming algorithms to solve the optimization problems arising from dissipative measure-valued formulations of nonlinear PDEs, demonstrating potential polynomial advantages over classical methods for obtaining full Young measures in random PDEs while noting no advantage for computing their expected values.

Shi Jin, Nana Liu, Maria Lukacova-Medvidova, Yuhuan Yuan2026-04-15
🔢 mathematics

Quasi-Orthogonal Stabilizer Design for Efficient Quantum Error Suppression

This paper introduces a quasi-orthogonal geometric framework for stabilizer codes that relaxes strict orthogonality constraints to enable more flexible and resource-efficient designs, demonstrating significant improvements in logical error rates and code performance under depolarizing noise compared to traditional orthogonal counterparts.

Valentine Nyirahafashimana, Sharifah Kartini Said Husain, Umair Abdul Halim, Ahmed Jellal, Nurisya Mohd Shah2026-04-15