Quantum control implemented as combinatorial optimization

Traci Strohecker, Herschel Rabitz

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Optimal control theory provides a general, means for designing controls to manipulate quantum phenomena. Traditional implementation requires solving coupled nonlinear equations to obtain the optimal control solution, whereas this work introduces a combinatorial quantum control (CQC) algorithm to avoid this complexity. The CQC technique uses a predetermined toolkit of small time step propagators in conjunction with combinatorial optimization to identify a proper sequence for the toolkit members. Results indicate that the CQC technique exhibits invariance of search effort to the number of system states and very favorable scaling upon comparison to a standard gradient algorithm, taking into consideration that CQC is easily parallelizable.

Original languageEnglish (US)
Pages (from-to)151-153
Number of pages3
JournalJournal of Computational Chemistry
Issue number1
StatePublished - Jan 15 2010

All Science Journal Classification (ASJC) codes

  • General Chemistry
  • Computational Mathematics


  • Combinatorial optimization
  • Genetic algorithm
  • Propagator toolkit
  • Quantum control
  • Schrödinger equation


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