Accelerating Variational Quantum Eigensolver Convergence using Parameter Transfer
Results of quantum computer simulations, using the Variational Quantum Eigensolver (VQE). The dataset contains data calculated using various parameters and settings. The goal of the data is to see how these parameters and settings affect the potential reduction of VQE optimization iterations.
Department of Chemistry and Chemical Engineering
National Quantum Computing Centre, UK Research and Innovation
Data Science and Modelling, Pharmaceutical Sciences, R&D, Gothenburg
Copyright 2023 Mårten Skogh & Oskar Leinonen
Wallenberg Center for Quantum Technology (WACQT)
Including: Chemical Physics, Quantum Optics
Including: Surface- and Colloid Chemistry
The procedure used in the design of a system to maximize or minimize some performance index. May entail the selection of a component, a principle of operation, or a technique.