activity
20232026
most citedComparative study on compact quantum circuits of hybrid quantum-classical algorithms for quantum impurity models

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

collaborators

6 papers

physics.chem-ph2026

Full-frequency GW from Cayley-transformed self-energy moments

Marcus K. Allen, George H. Booth

The dynamical GW self-energy approximation is a key computational tool to provide the fundamental spectrum of electronic systems. We reformulate this approximation, representing th…

cond-mat.mtrl-sci2026

The Future of Computing for Materials Science Challenges

Phalgun Lolur, Richard P. Padbury, George H. Booth +10

Materials discovery increasingly relies on the coordinated use of theory, computation, experiment, data-driven methods, and emerging quantum technologies, yet the full potential of…

quant-ph2025

Excitation Amplitude Sampling for Low Variance Electronic Structure on Quantum Computers

Connor Lenihan, Oliver J. Backhouse, Basil Ibrahim +4

We combine classical heuristics with partial shadow tomography to enable efficient protocols for extracting information from correlated ab initio electronic systems encoded on quan…

physics.chem-ph2025

Self-consistent GW via conservation of spectral moments

Oliver J. Backhouse, Marcus K. Allen, Charles C. J. Scott +1

We expand on a recently introduced alternate framework for simulation of charged excitations [Scott et. al., J. Chem. Phys., 158, 124102 (2023)], based around the conservation…

cond-mat.mtrl-sci2025★ 2 cited

Advancing Surface Chemistry with Large-Scale Ab-Initio Quantum Many-Body Simulations

Zigeng Huang, Zhen Guo, Changsu Cao +5

Predictive simulation of surface chemistry is of paramount importance for progress in fields from catalysis to electrochemistry and clean energy generation. Ab-initio quantum many-…

quant-ph2023★ 3 cited

Comparative study on compact quantum circuits of hybrid quantum-classical algorithms for quantum impurity models

Rihito Sakurai, Oliver J. Backhouse, George H. Booth +2

Predicting the properties of strongly correlated materials is a significant challenge in condensed matter theory. The widely used dynamical mean-field theory faces difficulty in so…