activity
20172022
most citedEigenvector continuation with subspace learning

142 citations · 241 across the 5 of their papers we have counts for

collaborators

5 papers

nucl-th2022★ 57 cited

Wavefunction matching for solving quantum many-body problems

Serdar Elhatisari, Lukas Bovermann, Yuanzhuo Ma +15

Ab initio calculations play an essential role in our fundamental understanding of quantum many-body systems across many subfields, from strongly correlated fermions to quantum chem…

nucl-th2020★ 21 cited

Impurity Lattice Monte Carlo for Hypernuclei

Dillon Frame, Timo A. Lähde, Dean Lee +1

We consider the problem of including hyperons into the ab initio framework of nuclear lattice effective field theory. In order to avoid large sign oscillations in Monte Carlo s…

nucl-th2019★ 11 cited

Ab Initio Simulations of Light Nuclear Systems Using Eigenvector Continuation and Auxiliary Field Monte Carlo

Dillon K. Frame

In this work, we discuss a new method for calculation of extremal eigenvectors and eigenvalues in systems or regions of parameter space where direct calculation is problematic. Thi…

cond-mat.quant-gas2019★ 10 cited

Time fractals and discrete scale invariance with trapped ions

Dean Lee, Jacob Watkins, Dillon Frame +5

We show that a one-dimensional chain of trapped ions can be engineered to produce a quantum mechanical system with discrete scale invariance and fractal-like time dependence. By di…

nucl-th2017★ 142 cited

Eigenvector continuation with subspace learning

Dillon Frame, Rongzheng He, Ilse Ipsen +3

A common challenge faced in quantum physics is finding the extremal eigenvalues and eigenvectors of a Hamiltonian matrix in a vector space so large that linear algebra operations o…