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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 8
Quantum Knowledge Distillation: State-of-the-art, Applications and Open Problems
Knowledge distillation transfers predictions, representations, or other supervisory information between learning models and is increasingly investigated in quantum machine learning.Correlations and fluctuations of flow with event shape engineering in Pb-Pb and Xe-Xe collisions at the LHC
Measurements of anisotropic flow provide some of the strongest constraints on the collective expansion and transport properties of the quark-gluon plasma produced in ultra-relativistic heavy-ion…Provable circuit-level thresholds for non-abelian topological phases
We provide an explicit scheme to realize a quantum memory in any 2D non-chiral topological order.How fast is the fastest-rotating O-type star in the Galaxy?
{Rapid rotation distorts massive stars, making parameters from spherical models inclination-dependent.Static and dynamical Casimir effects in a wedge within the worldline formulation
We study a real massless scalar field in $d+1$ dimensions confined to a wedge of opening angle $α$, in the presence of a semitransparent circular arc that may oscillate radially.Exact teleportation bounds for fermionic Hawking thermality beyond the single-mode approximation
Fermionic teleportation near a Schwarzschild horizon involves two physically distinct ingredients that are often varied together: Hawking thermal mixing and the relative composition of the right and…Coherence Spreading Law in Quenched Homogeneous Bose Gases
We investigate nonequilibrium coherence spreading in quenched homogeneous bosonic gases both analytically and numerically.Discovering like a scientist: Literature-informed dimensionless learning for physical closure of data-driven equations
Data-driven methods can recover compact equations, yet the physical dependence of their coefficients across operating conditions often remains unresolved.Emergent Incompressibility in Polariton Condensates for Scalable XY Spin Simulation
Driven-dissipative polariton networks offer a powerful analog platform for simulating continuous-spin Hamiltonians.Unsupervised Neural Operators for Rotating Relativistic Stars: High-Fidelity Equation of State Inference and Pulsar Spin Evolution at Scale
Observed populations of rotating neutron stars~(NSs) with millisecond-order periods are powerful probes of fundamental physics.Structural Lower Bounds for Quantum Property Estimation with Persistent Memory
In quantum property estimation, an experimenter estimates $\operatorname{Tr}(Oρ)$ for a family of observables from independent copies of an unknown state $ρ$ simultaneously to additive error $ε$.Time-resolved infrared spectroscopy with entangled photons and visible-light detection
Time-resolved infrared (TR-IR) spectroscopy reveals molecular structural changes and charge-carrier dynamics on their intrinsic timescales, in photosynthesis, catalysis and optoelectronic materials…Analytic two-body density-matrix spectrum of the Fermionic Tonks-Girardeau gas
The two-body density matrix (TBDM) of a quantum many-body system provides information about particle correlations, e.g., pairing.Classical records and Bell correlations in a dynamically formed quantum body
Competing quantum contacts can create a boundary that was absent from the specification of a subsystem.Symmetry-guided algorithms for variational quantum optimization
Quantum numbers associated with symmetries classify quantum states and identify the sectors relevant to a given simulation.Efficiently tracking errors and outcomes in universal quantum circuits
We present a method for efficient simulation of error propagation and decoding in universal fault-tolerant quantum circuits under stochastic Pauli noise, requiring only that the circuit has a high…Quantum Advantage in Sensing and Imaging through Coherent Nuisance Suppression
Many sensing and imaging problems must contend with unknown nuisance parameters such as aberrations, background fields, and drift, and the cost of removing these noise sources can dominate the…Mock CSST NUV-NIR imaging of TNG50 galaxies with resolved stellar populations
We aim to develop a framework for producing CSST-like mock images of resolved stellar populations from simulated galaxies, demonstrated here using two TNG50 galaxies as illustrative test cases.The kinematic Kelvin-Helmholtz instability-driven dynamo: implications for merging compact objects
Binary neutron star (BNS) mergers excite a Kelvin--Helmholtz instability (KHI) in the shear layer between them.Hardware Demonstration of Neural-Surrogated Quantum-Enhanced MCMC for Large-Scale Constrained Boltzmann Sampling
Neural-surrogated quantum-enhanced Markov chain Monte Carlo (QeMCMC) uses neural networks trained on samples from the quantum approximate optimization algorithm (QAOA) to accelerate Boltzmann…
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