160 citations
- Atlanta University CenterUS24 papers
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Showing 2020Show all
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physics.chem-ph2020★ 160 cited
-Machine Learning for Potential Energy Surfaces: A PIP approach to bring a DFT-based PES to CCSD(T) Level of Theory
Apurba Nandi, Chen Qu, Paul Houston +2
``-machine learning" refers to a machine learning approach to bring a property such as a potential energy surface (PES) based on low-level (LL) density functional theory (DFT) e…
quant-ph2020★ 53 cited
Correlating AGP on a quantum computer
Armin Khamoshi, Francesco A. Evangelista, Gustavo E. Scuseria
For variational algorithms on the near term quantum computing hardware, it is highly desirable to use very accurate ansatze with low implementation cost. Recent studies have shown…