activity
20162022
most citedA machine learning approach to dynamical properties of quantum many-body systems

41 citations · 83 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.str-el2022★ 2 cited

Systematic improvement of neural network quantum states using a Lanczos recursion

Hongwei Chen, Douglas Hendry, Phillip Weinberg +1

The quantum many-body problem lies at the center of the most important open challenges in condensed matter, quantum chemistry, atomic, nuclear, and high-energy physics. While quant…

cond-mat.str-el2022★ 2 cited

Neural network representation for minimally entangled typical thermal states

Douglas Hendry, Hongwei Chen, Adrian Feiguin

Minimally entangled typical thermal states (METTS) are a construction that allows one to to solve for the imaginary time evolution of quantum many body systems. By using wave funct…

cond-mat.str-el2021★ 18 cited

Chebyshev expansion of spectral functions using restricted Boltzmann machines

Douglas Hendry, Hongwei Chen, Phillip Weinberg +1

Calculating the spectral function of two dimensional systems is arguably one of the most pressing challenges in modern computational condensed matter physics. While efficient techn…

quant-ph2019★ 41 cited

A machine learning approach to dynamical properties of quantum many-body systems

Douglas Hendry, Adrian E. Feiguin

Variational representations of quantum states abound and have successfully been used to guess ground-state properties of quantum many-body systems. Some are based on partial physic…

astro-ph.HE2016★ 20 cited

Soft X-Ray Excess from Shocked Accreting Plasma in Active Galactic Nuclei

Keigo Fukumura, Douglas Hendry, Peter Clark +2

We propose a novel theoretical model to describe a physical identity of the soft X-ray excess, ubiquitously detected in many Seyfert galaxies, by considering a steady-state, axisym…