⚛️ Category

quant-ph

8945 papers

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.

🔢 mathematics

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography

This paper presents a design space study of density matrix parameterizations for diffusion-based quantum state tomography, introducing a geometric framework based on the Jacobian Gram matrix to reveal that isometric conditioning and physical constraint satisfaction are orthogonal criteria where no single parameterization optimizes both, and demonstrating that while better-conditioned parameterizations improve convergence and fidelity without classifier-free guidance, the inclusion of such guidance can reverse performance rankings due to amplified boundary effects.

Shuangju Chang2026-08-11
⚛️ quantum physics

Characterising the set of deterministic quantum correlations in prepare-and-measure scenarios

This paper addresses the challenge of identifying non-deterministic quantum correlations in prepare-and-measure scenarios by proposing a certification method based on adversary predictability with classical side-information and developing tailored semidefinite programming relaxations for three specific communication restrictions.

Nicola D'Alessandro, Oliver Karlsson, Carles Roch i Carceller2026-08-11
⚛️ quantum physics

Collective-dissipation-induced dark and metastable-like states for enhanced quantum battery performance

This paper demonstrates that collective dissipation in open quantum batteries, modeled by a transverse-field Ising system, enhances ergotropy and charging power by generating symmetry-protected dark and metastable states that suppress dissipative losses, with the antiferromagnetic phase offering superior performance due to the favorable spectral positioning of these protected subspaces.

Achraf Khoudiri, Asghar Ullah, Abderrahim El Allati, Özgür E. Müstecaplıoğlu2026-08-11
⚛️ quantum physics

Tensor network methods for non-perturbative dynamics of open quantum systems

This review article presents tensor network methods as a powerful, numerically exact framework for simulating the non-perturbative dynamics of open quantum systems, overcoming the computational limitations of traditional perturbative approaches by providing controllable accuracy and a comprehensive overview of the field.

Thibaut Lacroix, Adam Burgess, Nicola Lorenzoni, Julian Wiercinski, Kian Damezin, James Lim, Dario Tamascelli, Alex W. C (…)2026-08-11
🔬 optics

Surface passivation for narrowing optical linewidth of silicon T centers in nanophotonic devices

This paper demonstrates that atomic-layer-deposited Al2O3 surface passivation significantly narrows the optical linewidth of silicon T centers by up to 57% through the suppression of spectral diffusion, offering a CMOS-compatible pathway for generating indistinguishable photons in scalable quantum photonic devices.

Fariba Islam, Chang-Min Lee, Kyu-Young Kim, Sorah Fischer, Purbita Purkayastha, Edo Waks2026-08-11
🔢 mathematics

From Koszul-Complex Stabilizer Models to Superselection Profiles: Topological Rigidity and Nonsplit Extensions

This paper introduces a topological superselection profile framework based on Koszul-complex stabilizer models to characterize translation-symmetry-enriched topological phases in CSS codes, demonstrating that while single-layer cohomology determines rigidity for regular models, the inter-layer gluing data in nonsplit extensions is essential for distinguishing distinct phases that share identical excitation spectra.

Hao Song2026-08-11