Path integral quantum Monte Carlo exploits the quantum-to-classical mapping to stochastically sample the partition function of a d-dimensional quantum system as a (d+1)-dimensional classical system. This allows for the ab initio simulation of superfluids at low temperatures. The open source research code developed at the University of Vermont (https://code.delmaestro.org) does not yet take advantage of many of the latest features in the C++17/14/11 standard. This project seeks to modernize our open source codebase while concurrently developing new documentation with the goal of modernization, re-factoring and potentially optimization.
Path integral quantum Monte Carlo exploits the quantum-to-classical mapping to stochastically sample the partition function of a d-dimensional quantum system as a (d+1)-dimensional classical system. This allows for the ab initio simulation of superfluids at low temperatures. The open source research code developed at the University of Vermont (https://code.delmaestro.org) does not yet take advantage of many of the latest features in the C++17/14/11 standard. This project seeks to modernize our open source codebase while concurrently developing new documentation with the goal of modernization, re-factoring and potentially optimization.