output
20022021
most citedGW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral

9.8k citations

Showing 2020Show all

39 papers · 1 filter

physics.atom-ph202037 cited

Quantum-Enhanced Two-Photon Spectroscopy Using Two-mode Squeezed Light

Nikunjkumar Prajapati, Ziqi Niu, Irina Novikova

We investigate the prospects of using two-mode intensity squeezed twin-beams, generated in Rb vapor, to improve the sensitivity of spectroscopic measurements by engaging two-photon…

cond-mat.str-el202023 cited

Constrained-Path Auxiliary-Field Quantum Monte Carlo for Coupled Electrons and Phonons

Joonho Lee, Shiwei Zhang, David R. Reichman

We present an extension of constrained-path auxiliary-field quantum Monte Carlo (CP-AFQMC) for the treatment of correlated electronic systems coupled to phonons. The algorithm foll…

physics.soc-ph2020

Characterizing the COVID-19 Transmission in South Korea Using the KCDC Patient Data

Anna Schmedding, Lishan Yang, Riccardo Pinciroli +1

As the COVID-19 outbreak evolves around the world, the World Health Organization (WHO) and its Member States have been heavily relying on staying at home and lock down measures to…

math.AG20202 cited

Matricial Proofs of Some Classical Results about Critical Point Location

Charles R. Johnson, Pietro Paparella

The Gauss--Lucas and Bôcher--Grace--Marden theorems are classical results in the geometry of polynomials. Proofs of the these results are available in the literature, but the appro…

hep-th20202 cited

Ultrarelativistic charged and magnetized objects in non-local ghost-free electrodynamics

Jens Boos, Valeri P. Frolov, Jose Pinedo Soto

We study a non-local ghost-free Lorentz invariant modification of the Maxwell equations in four- and higher-dimensional flat spacetimes. We construct solutions of these equations f…

cs.CL20203 cited

On Extending NLP Techniques from the Categorical to the Latent Space: KL Divergence, Zipf's Law, and Similarity Search

Adam Hare, Yu Chen, Yinan Liu +2

Despite the recent successes of deep learning in natural language processing (NLP), there remains widespread usage of and demand for techniques that do not rely on machine learning…