Quantum Pareto optimal control

Raj Chakrabarti, Rebing Wu, Herschel Rabitz

Research output: Contribution to journalArticlepeer-review

23 Scopus citations


We describe algorithms and experimental strategies for the Pareto optimal control problem of simultaneously driving an arbitrary number of quantum observable expectation values to their respective extrema. Conventional quantum optimal control strategies are less effective at sampling points on the Pareto frontier of multiobservable control landscapes than they are at locating optimal solutions to single observable control problems. The present algorithms facilitate multiobservable optimization by following direct paths to the Pareto front, and are capable of continuously tracing the front once it is found to explore families of viable solutions. The numerical and experimental methodologies introduced are also applicable to other problems that require the simultaneous control of large numbers of observables, such as quantum optimal mixed state preparation.

Original languageEnglish (US)
Article number033414
JournalPhysical Review A - Atomic, Molecular, and Optical Physics
Issue number3
StatePublished - Sep 15 2008

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics


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