Rapidly convergent iteration methods for quantum optimal control of population

Wusheng Zhu, Jair Botina, Herschel Rabitz

Research output: Contribution to journalArticlepeer-review

423 Scopus citations


A family of new iteration methods is presented for designing quantum optimal controls to manipulate the transition probability. Theoretical analysis shows that these new methods exhibit quadratic and monotonic convergence. Numerical calculations verify that for these new methods, within very few steps, the optimized objective functional comes close to its convergent limit.

Original languageEnglish (US)
Pages (from-to)1953-1963
Number of pages11
JournalJournal of Chemical Physics
Issue number5
StatePublished - Feb 1 1998

All Science Journal Classification (ASJC) codes

  • General Physics and Astronomy
  • Physical and Theoretical Chemistry


Dive into the research topics of 'Rapidly convergent iteration methods for quantum optimal control of population'. Together they form a unique fingerprint.

Cite this