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/

Zendy Open

Presents the pdf analysis as premium feature

PDF Analysis

Insights

Presents the summarisation as premium feature

Summarisation

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

We present a stepwise adaptive-timestep version of the Quantum Jump (MonteCarlo wave-function) algorithm. Our method has proved to remain robust even forproblems where the integrating implementation of the Quantum Jump method isnumerically problematic. The only specific parameter of our algorithm is thesingle a priori parameter of the Quantum Jump method, the maximal allowed totaljump probability per timestep. We study the convergence of ensembles oftrajectories to the solution of the full master equation as a function of thisparameter. This study is expected to pertain to any possible implementation ofthe Quantum Jump method.

The Monte Carlo wave-function method: a robust adaptive algorithm and a study in convergence