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20162025
most citedSuppressing quantum errors by scaling a surface code logical qubit

1.1k citations · 2.6k across the 20 of their papers we have counts for

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Showing 2020Show all

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physics.chem-ph2020★ 54 cited

A Phaseless Auxiliary-Field Quantum Monte Carlo Perspective on the Uniform Electron Gas at Finite Temperatures: Issues, Observations, and Benchmark Study

Joonho Lee, Miguel A. Morales, Fionn D. Malone

We investigate the viability of the phaseless finite temperature auxiliary field quantum Monte Carlo (ph-FT-AFQMC) method for ab initio systems using the uniform electron gas as a…

physics.chem-ph2020★ 29 cited

The performance of phaseless auxiliary-field quantum Monte Carlo on the ground state electronic energy of benzene

Joonho Lee, Fionn D. Malone, David R. Reichman

The ground state electronic energy of benzene is the focus of a recent blind test by Eriksen and co-workers [arXiv:2008.02678]. In this note, we report the phaseless auxiliary-fiel…

physics.chem-ph2020

Accelerating the Convergence of Auxiliary-Field Quantum Monte Carlo inSolids with Optimized Gaussian Basis Sets

Miguel A. Morales, Fionn D. Malone

We investigate the use of optimized correlation consistent gaussian basis sets for the study of insulating solids with auxiliary-field quantum Monte Carlo (AFQMC). The exponents of…

physics.comp-ph2020

Systematic Comparison and Cross-validation of Fixed-Node Diffusion Monte Carlo and Phaseless Auxiliary-Field Quantum Monte Carlo in Solids

Fionn D. Malone, Anouar Benali, Miguel A. Morales +3

Quantum Monte Carlo (QMC) methods are some of the most accurate methods for simulating correlated electronic systems. We investigate the compatibility, strengths and weaknesses of…

physics.comp-ph2020

Accelerating Auxiliary-Field Quantum Monte Carlo Simulations of Solids with Graphical Processing Unit

Fionn D. Malone, Shuai Zhang, Miguel A. Morales

We outline how auxiliary-field quantum Monte Carlo (AFQMC) can leverage graphical processing units (GPUs) to accelerate the simulation of solid state sytems. By exploiting conserva…

physics.comp-ph2020

QMCPACK: Advances in the development, efficiency, and application of auxiliary field and real-space variational and diffusion Quantum Monte Carlo

P. R. C. Kent, Abdulgani Annaberdiyev, Anouar Benali +21

We review recent advances in the capabilities of the open source ab initio Quantum Monte Carlo (QMC) package QMCPACK and the workflow tool Nexus used for greater efficiency and rep…