most citedImproving the accuracy of quantum computational chemistry using the transcorrelated method

32 citations · 32 across the 1 of their papers we have counts for

collaborators

7 papers

quant-ph2020

Observation of separated dynamics of charge and spin in the Fermi-Hubbard model

Frank Arute, Kunal Arya, Ryan Babbush +96

Strongly correlated quantum systems give rise to many exotic physical phenomena, including high-temperature superconductivity. Simulating these systems on quantum computers may avo…

quant-ph202032 cited

Improving the accuracy of quantum computational chemistry using the transcorrelated method

Sam McArdle, David P. Tew

Accurately treating electron correlation in the wavefunction is a key challenge for both classical and quantum computational chemistry. Classical methods have been developed which…

quant-ph2018

Digital quantum simulation of molecular vibrations

Sam McArdle, Alex Mayorov, Xiao Shan +2

Molecular vibrations underpin important phenomena such as spectral properties, energy transfer, and molecular bonding. However, obtaining a detailed understanding of the vibrationa…

quant-ph2018

Quantum computational chemistry

Sam McArdle, Suguru Endo, Alan Aspuru-Guzik +2

One of the most promising suggested applications of quantum computing is solving classically intractable chemistry problems. This may help to answer unresolved questions about phen…

quant-ph2018

Variational quantum algorithms for discovering Hamiltonian spectra

Suguru Endo, Tyson Jones, Sam McArdle +2

Calculating the energy spectrum of a quantum system is an important task, for example to analyse reaction rates in drug discovery and catalysis. There has been significant progress…

quant-ph2018

Error-mitigated digital quantum simulation

Sam McArdle, Xiao Yuan, Simon Benjamin

Variational algorithms may enable classically intractable simulations on near-future quantum computers. However, their potential is limited by hardware errors. It is therefore cruc…