Evolutionary algorithms and their application to optimal control studies

Zeidler, D.; Frey, Susanne; Kompa, K. L.; Motzkus, Marcus

doi:10.1103/physreva.64.023420

Cited by 210 publications

(143 citation statements)

References 185 publications

(334 reference statements)

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“…Application of F(u) ¼ a sin(b u + c) yields a well defined pulse train. 16,26,27 The parameter a is kept fixed at 1.23 and parameter b defines the sub-pulse separation. Note that the parameter c defines the relative phase between the sub-pulses as shown in Fig.…”

Section: Methodsmentioning

confidence: 99%

A General control mechanism of energy flow in the excited state of polyenic biochromophores

et al. 2011

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Quantum dynamics in photobiology is a highly controversial subject of modern research. In particular, the role of low-frequency vibrational coherence of biochromophores has been intensely discussed. Coherent control of polyenic chromophores, like carotenoids and retinoids, has been showing that the manipulation of such low frequency coherences may play a crucial role in the evolution of excited population and therefore in the efficiency of photosynthesis. However, no precise control mechanism has been derived. In order to clarify this open question, we combined quantum dynamical modelling with a sensitive experimental technique, namely Pump-Degenerate Four Wave Mixing (Pump-DFWM). In this work we investigate in detail the internal conversion channel of b-carotene, an important polyenic chromophore, under multipulse excitation and focus on the role of the non-adiabatic coupling between excited-state potentials and the internal energy loss. Our control mechanism is based on the interference between wavepackets in the excited state, which leads to a transient evolution of the vibrational population dependent on the relative phase between excitation sub-pulses. Such a transient evolution can affect the branching ratio between competing channels in the excited state. Therefore, our results are able to rationalize pulse shapes found in a whole class of coherent control experiments involving polyenic biochromophores, like in light harvesting complexes and in bacteriorhodopsin.

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Section: Methodsmentioning

confidence: 99%

A General control mechanism of energy flow in the excited state of polyenic biochromophores

et al. 2011

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“…A suitable parametrization of the spectral phases can also give a handle on time-domain parameterizations, e.g., by scanning only pulse sequences with a certain temporal spacing [164]. In several demonstrations of closed-loop quantum control, the additional information gained from closed-loop optimizations in restricted subspaces facilitated the interpretation of possible control mechanisms [45,53,54,[165][166][167][168][169][170][171][172]. The obtained results can also be used to change the basis of the search space, further simplifying the optimization procedure in subsequent experiments [165,166,170,173].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Femtosecond Quantum Control

Brixner

Dietl

Krampert

et al. 2004

Springer Series in OPTICAL SCIENCES

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“…However, this technique requires a precise knowledge of all the system parameters and control over the shaping function. Therefore, adaptive systems exploiting evolutionary algorithms and one or more effective feedback signals have previously been adopted in pulse shaping systems to generate the target pulse form, mainly for applications in ultrafast optics [8,9]. Recently, genetic algorithms were used to improve the quality of Gaussian pulses and thereby optimise the characteristics of their self-phase modulation (SPM)-induced broadened spectrum [10].…”

Section: Introductionmentioning

confidence: 99%