3285 papers
Quantum gravity represents the frontier where the very large meets the very small, attempting to unify Einstein's theory of gravity with the strange rules of quantum mechanics. This field explores the fundamental fabric of spacetime, seeking to understand how the universe behaves at its most extreme scales, from the heart of black holes to the moment of the Big Bang. Because these concepts often involve complex mathematics, they can feel distant to non-specialists, yet they hold the key to a complete picture of physical reality.
At Gist.Science, we bridge this gap by processing every new preprint in this category directly from arXiv. Our team provides both plain-language explanations and detailed technical summaries for each paper, ensuring that groundbreaking research is accessible to everyone, from curious students to seasoned researchers. Below are the latest papers in quantum gravity, offering fresh insights into the nature of our cosmos.
This paper performs a comprehensive thermodynamic analysis of three sign-switching dark energy models using the Generalised Second Law as a viability criterion, finding that while sign-switching cosmological constant models remain consistent, the graduated dark energy model is ruled out due to thermodynamic inconsistencies arising from divergences in its equation-of-state parameters.
This paper demonstrates that for constrained ensembles of pure Gaussian states modeling thermalization and Hawking radiation, the average entanglement entropy of a small subsystem equals the von Neumann entropy of a corresponding uncorrelated mixed Gaussian state, thereby providing a framework to analyze the Page curve under unitary evolution.
This paper demonstrates that plane gravitational waves induce direction-dependent changes in the spontaneous emission spectrum of a single atom within a curved spacetime, suggesting that state-of-the-art cold-atom experiments could utilize these spectral imprints to probe low-frequency gravitational waves.
This study introduces a general three-parameter dark energy equation-of-state parametrization that encompasses existing models like CPL, and using a comprehensive suite of latest cosmological data, finds that while the data mildly prefers this new model over CPL, both are statistically indistinguishable and support a present-day quintessence regime with no significant evidence for dynamical evolution.
This paper demonstrates that Ayón-Beato-García regular black holes, both with and without a cosmological constant, enable a significantly more efficient electric Penrose process with larger negative-energy regions and higher energy extraction efficiency compared to Reissner-Nordström black holes, even under astrophysically realistic conditions.
This paper proposes a computationally efficient Monte Carlo method for calculating the curvature perturbation power spectrum in stochastic inflation by utilizing least squares curve fitting to avoid nested path generation and obtain a continuous spectrum estimate across a range of scales.
This paper introduces almost Finsler and partial Finsler manifolds as generalizations of standard Finsler geometry that accommodate nontrivial slits and nonpositive eigenvalues, utilizing bipartite and / spaces to derive characteristic tensors that generalize the Matsumoto tensor and vanish for these specific structures.
This paper introduces a novel characterization of the holographic entropy cone using Markov states and a majorization test, providing strong evidence that the inequalities defining the static Ryu-Takayanagi cone also hold for the covariant Hubeny-Rangamani-Takayanagi cone, with the surprising finding that only these specific inequalities satisfy the test.
This paper presents a suite of cosmological simulations incorporating primordial non-Gaussianities from collider physics to characterize their nonlinear signatures in late-time observables and forecasts competitive constraints on these signals using future Vera C. Rubin Observatory weak-lensing data.
This paper demonstrates that weak lensing analysis of future LSST data can provide competitive and complementary constraints on primordial non-Gaussianity models, particularly those with features on small scales, by resolving their signatures in the deeply nonlinear late-time density field through a suite of over thirty templates and new simulations of resonant signatures.