Quantum physics explores the strange and often counterintuitive rules that govern the universe at its smallest scales. This field investigates how particles like electrons and photons behave in ways that defy our everyday intuition, forming the backbone of modern technologies from lasers to future quantum computers. While the mathematics can be daunting, the core ideas promise to revolutionize how we understand reality and process information.

At Gist.Science, we make these complex discoveries accessible to everyone. We systematically process every new preprint published in the Quant-Ph category on arXiv, transforming dense academic papers into clear, plain-language explanations alongside detailed technical summaries. Whether you are a seasoned researcher or a curious reader, our goal is to bridge the gap between cutting-edge theory and human understanding.

Below are the latest papers in quantum physics, distilled to help you grasp the newest breakthroughs without getting lost in the jargon.

🔬 mesoscale physics

WannierSTM: Efficient superconducting scanning-probe spectroscopy from maximally localized Wannier functions

The paper introduces WannierSTM, a Python-based computational framework that efficiently simulates scanning tunneling microscopy spectroscopy in superconducting hybrid nanostructures by combining maximally localized Wannier functions with nonequilibrium Green's function formalism to enable rapid, analytical calculations of transport properties without explicit energy integrations.

Oscar Moreno Segura, Dorye L. Esteras, Andrei Shumilin, Gonzalo Rivero-Carracedo, Riku Tuovinen, José J. Baldoví2026-10-14
🔬 mesoscale physics

Imaging the topological sign of a Dirac mass with spin-polarized tunneling

This paper proposes a method to locally image the topological sign of a Dirac mass in magnetic topological surfaces by utilizing spin-polarized tunneling on a C3C_3 axis and zeroth Landau level measurements, thereby enabling the direct mapping of spatial variations in topological character beyond mere spectral gap detection.

Payman Kazemikhah, Ruolun Zhang, Byunghoon Kim, Xiangyu Luo, Zachary Ducorsky, Yu-Peng Zhu, Md. Shafayat Hossain, M. Zah (…)2026-10-14
🔢 mathematics

Classical and Quantum Information Measures Characterizing Convertibility: An Axiomatic Approach

This PhD thesis employs an axiomatic framework to characterize the large-sample and catalytic convertibility of state tuples by identifying specific families of multivariate divergences, including generalized bivariate Rényi divergences for classical states and all α\alpha-zz relative entropies for certain quantum states, the latter providing the first operational interpretation for the latter.

Frits Verhagen2026-10-14
🧬 biology

Lossless Reductions and Hybrid Sampling for Phylogeny Using the Maximum Compatibility Criterion

This paper enhances maximum compatibility phylogeny reconstruction by introducing lossless graph reductions and hybrid quantum-classical sampling techniques to efficiently enumerate all optimal character sets, demonstrating their effectiveness on SARS-CoV-2 data while addressing the limitations of traditional Lagrange multipliers on noisy quantum devices.

Orson Ye, James Bonfield, Joshua Cudby, Richard Durbin, Sergii Strelchuk2026-10-14
🔢 mathematics

Comment on "Landau Levels and Riemann Zeros"

This paper critiques the Landau-level model proposed by Sierra and Townsend for the Riemann zeros by demonstrating that higher Landau levels do not generate the necessary ln⁡E\ln E term due to energy-independent boundary phase shifts, and by identifying the origin of the ln⁡E\ln E term in their semiclassical equation as a first-order shift of the smooth counting function.

Mi-Ra Hwang, Eylee Jung, MuSeong Kim, DaeKil Park2026-10-14