English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Key properties of physical systems can be described by the eigenvalues ofmatrices that represent the system. Computational algorithms that determine theeigenvalues of these matrices exist, but they generally suffer from a loss ofperformance as the matrix grows in size. This process can be expanded toquantum computation to find the eigenvalues with better performance than theclassical algorithms. One application of such an eigenvalue solver is todetermine energy levels of a molecule given a matrix representation of itsHamiltonian using the variational principle. Using a variational quantumeigensolver, we determine the ground state energies of different molecules. Wefocus on the choice of optimization strategy for a Qiskit simulator on low-endhardware. The benefits of several different optimizers were weighed in terms ofaccuracy in comparison to an analytic classical solution as well as codeefficiency.

Using Variational Eigensolvers on Low-End Hardware to Find the Ground State Energy of Simple Molecules