17 citations · 31 across the 7 of their papers we have counts for
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physics.chem-ph2024★ 13 cited
Improved modularity and new features in ipie: Toward even larger AFQMC calculations on CPUs and GPUs at zero and finite temperatures
Tong Jiang, Moritz K. A. Baumgarten, Pierre-François Loos +6
ipie is a Python-based auxiliary-field quantum Monte Carlo (AFQMC) package that has undergone substantial improvements since its initial release [J. Chem. Theory Comput., 2023, 19(…
physics.chem-ph2024★ 17 cited
Unbiasing Fermionic Auxiliary-Field Quantum Monte Carlo with Matrix Product State Trial Wavefunctions
Tong Jiang, Bryan O'Gorman, Ankit Mahajan +1
In this work, we report, for the first time, an implementation of fermionic auxiliary-field quantum Monte Carlo (AFQMC) using matrix product state (MPS) trial wavefunctions, dubbed…