activity
20132025
most citedFast prediction and evaluation of gravitational waveforms using surrogate models

217 citations · 627 across the 18 of their papers we have counts for

collaborators

18 papers

cond-mat.str-el2025

Stability and complexity of global iterative solvers for the Kadanoff-Baym equations

Jože Gašperlin, Denis Golež, Jason Kaye

Although the Kadanoff-Baym equations are typically solved using time-stepping methods, iterative global-in-time solvers offer potential algorithmic advantages, particularly when co…

cond-mat.str-el2023★ 11 cited

Decomposing imaginary time Feynman diagrams using separable basis functions: Anderson impurity model strong coupling expansion

Jason Kaye, Zhen Huang, Hugo U. R. Strand +1

We present a deterministic algorithm for the efficient evaluation of imaginary time diagrams based on the recently introduced discrete Lehmann representation (DLR) of imaginary tim…

cond-mat.str-el2023★ 9 cited

Low rank Green's function representations applied to dynamical mean-field theory

Nan Sheng, Alexander Hampel, Sophie Beck +4

Several recent works have introduced highly compact representations of single-particle Green's functions in the imaginary time and Matsubara frequency domains, as well as efficient…

cond-mat.str-el2022★ 8 cited

Automatic, high-order, and adaptive algorithms for Brillouin zone integration

Jason Kaye, Sophie Beck, Alex Barnett +2

We present efficient methods for Brillouin zone integration with a non-zero but possibly very small broadening factor , focusing on cases in which downfolded Hamiltonians can be…

physics.chem-ph2022★ 3 cited

Eliminating artificial boundary conditions in time-dependent density functional theory using Fourier contour deformation

Jason Kaye, Alex Barnett, Leslie Greengard +2

We present an efficient method for propagating the time-dependent Kohn-Sham equations in free space, based on the recently introduced Fourier contour deformation (FCD) approach. Fo…

cond-mat.str-el2022★ 89 cited

Learning Feynman Diagrams with Tensor Trains

Yuriel Nunez-Fernandez, Matthieu Jeannin, Philipp T. Dumitrescu +4

We use tensor network techniques to obtain high order perturbative diagrammatic expansions for the quantum many-body problem at very high precision. The approach is based on a tens…

math-ph2021

Analysis of single-excitation states in quantum optics

Jeremy Hoskins, Jason Kaye, Manas Rachh +1

In this paper we analyze the dynamics of single-excitation states, which model the scattering of a single photon from multiple two level atoms. For short times and weak atom-field…

physics.comp-ph2021★ 33 cited

libdlr: Efficient imaginary time calculations using the discrete Lehmann representation

Jason Kaye, Kun Chen, Hugo U. R. Strand

We introduce libdlr, a library implementing the recently introduced discrete Lehmann representation (DLR) of imaginary time Green's functions. The DLR basis consists of a collectio…

math.NA2021★ 20 cited

A fast time domain solver for the equilibrium Dyson equation

Jason Kaye, Hugo U. R. Strand

We consider the numerical solution of the real time equilibrium Dyson equation, which is used in calculations of the dynamical properties of quantum many-body systems. We show that…

math.NA2021★ 8 cited

A fast, high-order numerical method for the simulation of single-excitation states in quantum optics

Jeremy Hoskins, Jason Kaye, Manas Rachh +1

We consider the numerical solution of a nonlocal partial differential equation which models the process of collective spontaneous emission in a two-level atomic system containing a…

math.NA2021★ 65 cited

Discrete Lehmann representation of imaginary time Green's functions

Jason Kaye, Kun Chen, Olivier Parcollet

We present an efficient basis for imaginary time Green's functions based on a low rank decomposition of the spectral Lehmann representation. The basis functions are simply a set of…

cond-mat.str-el2020★ 53 cited

Low rank compression in the numerical solution of the nonequilibrium Dyson equation

Jason Kaye, Denis Golež

We propose a method to improve the computational and memory efficiency of numerical solvers for the nonequilibrium Dyson equation in the Keldysh formalism. It is based on the empir…

math.NA2020★ 10 cited

A high-order integral equation-based solver for the time-dependent Schrodinger equation

Jason Kaye, Alex Barnett, Leslie Greengard

We introduce a numerical method for the solution of the time-dependent Schrodinger equation with a smooth potential, based on its reformulation as a Volterra integral equation. We…

math.NA2019★ 7 cited

A fast solver for the narrow capture and narrow escape problems in the sphere

Jason Kaye, Leslie Greengard

We present an efficient method to solve the narrow capture and narrow escape problems for the sphere. The narrow capture problem models the equilibrium behavior of a Brownian parti…

math.NA2018★ 7 cited

Transparent Boundary Conditions for the Time-Dependent Schrödinger Equation with a Vector Potential

Jason Kaye, Leslie Greengard

We consider the problem of constructing transparent boundary conditions for the time-dependent Schrödinger equation with a compactly supported binding potential and, if desired, a…

math.NA2015★ 71 cited

Gaussian-Like Immersed Boundary Kernels with Three Continuous Derivatives and Improved Translational Invariance

Yuanxun Bao, Alexander D. Kaiser, Jason Kaye +1

The immersed boundary (IB) method is a general mathematical framework for studying problems involving fluid-structure interactions in which an elastic structure is immersed in a vi…

math.NA2014★ 16 cited

A posteriori error estimator for adaptive local basis functions to solve Kohn-Sham density functional theory

Jason Kaye, Lin Lin, Chao Yang

Kohn-Sham density functional theory is one of the most widely used electronic structure theories. The recently developed adaptive local basis functions form an accurate and systema…

gr-qc2013★ 217 cited

Fast prediction and evaluation of gravitational waveforms using surrogate models

Scott E. Field, Chad R. Galley, Jan S. Hesthaven +2

[Abridged] We propose a solution to the problem of quickly and accurately predicting gravitational waveforms within any given physical model. The method is relevant for both real-t…