41 citations · 161 across the 21 of their papers we have counts for
4 papers · 1 filter
Ensemble Markov chain Monte Carlo with teleporting walkers
Michael Lindsey, Jonathan Weare, Anna Zhang
We introduce an ensemble Markov chain Monte Carlo approach to sampling from a probability density with known likelihood. This method upgrades an underlying Markov chain by allowing…
Scalable semidefinite programming approach to variational embedding for quantum many-body problems
Yuehaw Khoo, Michael Lindsey
In quantum embedding theories, a quantum many-body system is divided into localized clusters of sites which are treated with an accurate `high-level' theory and glued together self…
Committor functions via tensor networks
Yian Chen, Jeremy Hoskins, Yuehaw Khoo +1
We propose a novel approach for computing committor functions, which describe transitions of a stochastic process between metastable states. The committor function satisfies a back…
Rayleigh-Gauss-Newton optimization with enhanced sampling for variational Monte Carlo
Robert J. Webber, Michael Lindsey
Variational Monte Carlo (VMC) is an approach for computing ground-state wavefunctions that has recently become more powerful due to the introduction of neural network-based wavefun…