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Physics & Astronomy
Physics and astronomy have shared new results on arXiv for over thirty years. This page shows the newest papers ReadSearch has read there, from astrophysics and condensed matter to particle, quantum and applied physics, with papers OpenAlex files under the same subjects.
The newest 1,000 papers, from 29 October 2026 to 5 November 2026: 1,000 arXiv preprints.
Newest papers, page 16
Quantum Noise Engineering in Advanced LIGO
Advanced LIGO is a gravitational-wave detector with extreme sensitivity, operating close to the quantum limits of optical measurement.Reliability of Fisher-information bounds for dielectric metalenses: a site-resolved RCWA audit
We assess the reliability of localization precision predicted for a 1716-nanopillar dielectric metalens using a site-resolved complex RCWA library and a vectorial Poisson Fisher model.Feedback-Driven Star Formation and YSO Distribution around H II Regions Sh2-140 and Sh2-145
OB2 associations are ideal sites for studying various star-formation processes.Particle-loss error correction using $2^l$-step states generated via particle-number-resolving measurement schemes
We present an iterative scheme for generating finite superpositions of Fock states whose photon numbers differ by $2^l$ ($2^l$-step states).Field-aligned measurement removes the anisotropy barrier of sample-based quantum subspace solvers for magnetized-plasma heat conduction
Sample-based quantum subspace methods construct a small subspace from measured basis states and solve the target problem classically within it.Nonequilibrium Spin-Glass Order in a Long-Range Quantum Ising Glass and Its Sensitivity to Noise
We study spin-glass order after a transverse-field quench in a long-range quantum Ising glass.Eddies that ride the flow: a model of turbulence with Richardson dispersion and anomalous dissipation
We construct a divergence-free velocity field $\mathbf{u}(\mathbf{x},t)$ on $\mathbb{T}^{n}$ that is a genuine function of position and carries both defining properties of turbulent transport…Data-Driven Modeling of Molten Chloride Corrosion Using Static Test Data
Molten chloride corrosion has been studied for decades, yet reliable prediction across different alloys, salts, and test conditions remains difficult.Context-Aware Automated NMR Structure Elucidation
Machine learning approaches are rapidly revolutionizing the ability to analyze and extract structural insights from chemical data, enabling high-throughput chemical discovery.Improving the accuracy of the momentum-exchange method in lattice Boltzmann methods
In the lattice Boltzmann method (LBM), the momentum-exchange method (MEM) is widely used to evaluate hydrodynamic forces at fluid-solid interfaces due to its computational efficiency and geometric…The lattice Boltzmann machine
The lattice Boltzmann (LB) method is widely regarded as a very flexible and efficient solver for a broad class of transport phenomena in fluids, soft matter and related fields.Dithered Belief Propagation for Real-Time Quantum Memory Decoding
We introduce dithered belief-propagation decoding for circuit-level quantum memory to mitigate the oscillations and trapping behavior that limit standard belief-propagation (BP) decoders for qLDPC…Improving Gravitationally Induced Entanglement in Interferometric Configurations
Proposals to detect gravitationally induced entanglement between massive particles offer a promising pathway toward probing the quantum nature of gravity.Detection of Differential Chromatic Refraction with LSST Camera data
The Earth's atmosphere acts like a prism, deflecting blue light towards the zenith more than red light.A Machine Learning Approach to Coupling Photoionization & Multi-Frequency Radiation Hydrodynamics
We use machine learning (ML) to couple photoionization microphysics to radiation hydrodynamic simulations of line-driven winds.Formamide formation on forsterite and Mg(OH)$_2\cdot$H$_2$O
Formamide formation in the Universe has been the subject of debate due to its importance as a precursor to amino acids and RNA.MapHub: Daily Relevance Heatmaps of New arXiv Preprints for a Research Community
MapHub, the MIDAS arXiv Preprint Hub, assesses each day's new arXiv submissions for every participant in a research community, with a large language model reading each paper against portfolios built…Scalable Transpilation for Overcoming Restricted Connectivity in Distributed Superconducting Quantum Architectures
Distributed Quantum Computing (DQC) offers a promising pathway to scale superconducting quantum hardware, but restricted inter- and intra-module connectivity creates a major transpilation bottleneck.The shear Alfvén continuum of optimized stellarators
The shear Alfvén continuum has been studied extensively in tokamaks, but its gap structure in modern optimized stellarators has received less attention, despite its importance for energetic-particle…Thermally-driven quantum reservoir computing
Heat generation limits computation, classical and quantum, from single logic gates to entire data centers.
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