2593 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 employs Markov Chain Monte Carlo analysis with recent high-precision observational datasets to demonstrate that a canonical exponential quintessence model remains statistically comparable to the standard CDM cosmology while successfully reproducing cosmic acceleration and satisfying key physical viability conditions.
This paper proposes a Hamiltonian composite theory of gravity derived from local Lorentz gauge symmetry and freely falling frames, demonstrating that it yields an exact black-hole solution, possesses only four physical degrees of freedom for planar gravitational waves, and provides a framework for quantization.
This paper presents a gauge-independent general relativistic derivation showing that optically levitated sensors in Fabry-Pérot cavities exhibit an asymmetric gravitational wave response maximized near the input mirror, a configuration that simultaneously suppresses noise coupling from input-mirror displacements to establish key design principles for high-frequency gravitational wave detectors.
This paper demonstrates that the BEF symplectic form for non-local theories can be derived from an -Lagrangian via the covariant phase space approach, establishing its equivalence to the Barnich--Brandt form for second-order theories and providing a unified framework for understanding corner terms, boundary conditions, and Hamiltonians.
This paper derives a universal formula for the anomalous scaling of multipole moments in classical general relativity using effective field theory methods, demonstrating that this scaling is determined by gravitational wave phase shifts and proposing a novel resummation of universal short-distance logarithms to improve gravitational waveform modeling for compact binary systems.
This paper derives a closed formula for 5D Schwarzschild-Tangherlini black hole scalar wave scattering using the Nekrasov-Shatashvili function and computes non-vanishing, renormalization group running tidal Love numbers up to by matching effective field theory with ultraviolet solutions.
This paper establishes a connection between the Mano-Suzuki-Takasugi formalism and worldline effective field theory to analyze the dynamical tidal response of non-rotating black holes in general relativity, revealing that renormalized tidal response functions and resulting Love numbers are inherently scheme-dependent and sensitive to initial renormalization conditions.
This paper demonstrates that a Thurston-based theory of gravity admits shear-free and static solutions across all Bianchi-Kantowski-Sachs topologies and ensures isotropization with a positive cosmological constant while preventing recollapse under the weak energy condition, thereby resolving specific limitations of General Relativity without introducing additional parameters.
This paper proposes that cosmic acceleration arises naturally from the nonlinear dynamics of a universe containing equal amounts of positive and negative Bondi masses, where the transition from a weakly to a strongly coupled gravitational regime drives a shift from ballistic expansion to uniform acceleration without requiring dark energy.
FluxMC is a machine learning-enhanced framework that combines Flow Matching with Parallel Tempering MCMC to overcome the computational bottlenecks of traditional Bayesian inference, enabling rapid and high-fidelity parameter estimation for space-based gravitational-wave observations without compromising between model accuracy and analysis speed.