32 citations · 32 across the 1 of their papers we have counts for
9 papers · 1 filter
Learning from physics experiments, with quantum computers: Applications in muon spectroscopy
Sam McArdle
Computational physics is an important tool for analysing, verifying, and -- at times -- replacing physical experiments. Nevertheless, simulating quantum systems and analysing quant…
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…
Error mitigation via verified phase estimation
Thomas E. O'Brien, Stefano Polla, Nicholas C. Rubin +5
The accumulation of noise in quantum computers is the dominant issue stymieing the push of quantum algorithms beyond their classical counterparts. We do not expect to be able to af…
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…
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…
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…