activity
20182022
most citedTowards near-term quantum simulation of materials

60 citations · 115 across the 8 of their papers we have counts for

collaborators

8 papers

cond-mat.supr-con2022

Engineering superconducting properties of multiferroic copper oxide heterostructures

Wai Hei Terence Tse, Carla Lupo, Evan Sheridan +2

Oxide heterostructures have repeatedly been shown to display apical properties at the interfaces, some of which favorable to the formation of two-dimensional electron systems, as w…

quant-ph2022★ 60 cited

Towards near-term quantum simulation of materials

Laura Clinton, Toby Cubitt, Brian Flynn +6

Simulation of materials is one of the most promising applications of quantum computers. On near-term hardware the crucial constraint on these simulations is circuit depth. Many qua…

cond-mat.supr-con2021★ 3 cited

Microscopic Theory of Magnetic Disorder-Induced Decoherence in Superconducting Nb Films

Evan Sheridan, Thomas F. Harrelson, Eric Sivonxay +6

The performance of superconducting qubits is orders of magnitude below what is expected from theoretical estimates based on the loss tangents of the constituent bulk materials. Thi…

cond-mat.supr-con2021★ 22 cited

Elucidating the local atomic and electronic structure of amorphous oxidized superconducting niobium films

Thomas F. Harrelson, Evan Sheridan, Ellis Kennedy +8

Qubits made from superconducting materials are a mature platform for quantum information science application such as quantum computing. However, materials-based losses are now a li…

physics.comp-ph2021★ 16 cited

Data-Driven Dynamical Mean-Field Theory: an error-correction approach to solve the quantum many-body problem using machine learning

Evan Sheridan, Christopher Rhodes, Francois Jamet +2

Machine learning opens new avenues for modelling correlated materials. Quantum embedding approaches, such as the dynamical mean-field theory (DMFT), provide corrections to first-pr…

cond-mat.str-el2021

From Slater to Mott physics: epitaxial engineering of electronic correlations in oxide interfaces

Carla Lupo, Evan Sheridan, Edoardo Fertitta +3

Using spin-assisted ab-initio random structure searches, we explore an exhaustive quantum phase diagram of archetypal interfaced Mott insulators, i.e. lanthanum-iron and lanthanum-…

cond-mat.mtrl-sci2020

A single-projection three-dimensional reconstruction algorithm for scanning transmission electron microscopy data

Hamish G. Brown, Philipp M. Pelz, Shang-Lin Hsu +13

Increasing interest in three-dimensional nanostructures adds impetus to electron microscopy techniques capable of imaging at or below the nanoscale in three dimensions. We present…

cond-mat.str-el2018★ 14 cited

A novel continuous time quantum Monte Carlo solver for dynamical mean field theory in the compact Legendre representation

Evan Sheridan, Cedric Weber, Evgeny Plekhanov +1

Dynamical mean-field theory (DMFT) is one of the most widely-used methods to treat accurately electron correlation effects in ab-initio real material calculations. Many modern larg…