TY - JOUR
T1 - Improved Fast Randomized Iteration Approach to Full Configuration Interaction
AU - Greene, Samuel M.
AU - Webber, Robert J.
AU - Weare, Jonathan
AU - Berkelbach, Timothy C.
N1 - Publisher Copyright:
Copyright © 2020 American Chemical Society.
PY - 2020/9/8
Y1 - 2020/9/8
N2 - We present three modifications to our recently introduced fast randomized iteration method for full configuration interaction (FCI-FRI) and investigate their effects on the method's performance for Ne, H2O, and N2. The initiator approximation, originally developed for full configuration interaction quantum Monte Carlo, significantly reduces statistical error in FCI-FRI when few samples are used in compression operations, enabling its application to larger chemical systems. The semistochastic extension, which involves exactly preserving a fixed subset of elements in each compression, improves statistical efficiency in some cases but reduces it in others. We also developed a new approach to sampling excitations that yields consistent improvements in statistical efficiency and reductions in computational cost. We discuss possible strategies based on our findings for improving the performance of stochastic quantum chemistry methods more generally.
AB - We present three modifications to our recently introduced fast randomized iteration method for full configuration interaction (FCI-FRI) and investigate their effects on the method's performance for Ne, H2O, and N2. The initiator approximation, originally developed for full configuration interaction quantum Monte Carlo, significantly reduces statistical error in FCI-FRI when few samples are used in compression operations, enabling its application to larger chemical systems. The semistochastic extension, which involves exactly preserving a fixed subset of elements in each compression, improves statistical efficiency in some cases but reduces it in others. We also developed a new approach to sampling excitations that yields consistent improvements in statistical efficiency and reductions in computational cost. We discuss possible strategies based on our findings for improving the performance of stochastic quantum chemistry methods more generally.
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U2 - 10.1021/acs.jctc.0c00437
DO - 10.1021/acs.jctc.0c00437
M3 - Article
C2 - 32697909
AN - SCOPUS:85090510823
SN - 1549-9618
VL - 16
SP - 5572
EP - 5585
JO - Journal of chemical theory and computation
JF - Journal of chemical theory and computation
IS - 9
ER -