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Control of Photochemical Branching: Novel Procedures for Finding Optimal Pulses and Global Upper Bounds

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Part of the Nato ASI Series book series (NSSB,volume 299)

Abstract

Given the great progress in femtosecond laser technology — with amplitude, frequency and phase control of the electric field — the systematic design of optical pulse sequences to control microscopic atomic and molecular motion has become an inexorable topic of study. The problem may be formulated variationally as the search for the optimal pulse sequence (i.e. complex electric field amplitude, ε(t)) which prepares a wavepacket such as to maximize the expectation value of an appropriate projection operator at some final time. For control of photofragmentation, for instance, the projection operator is equal to 1 for a particular chemical arrangement channel and 0 elsewhere. The optimization must be performed subject to the constraint that the wavepacket satisfy the time dependent Schrodinger equation in the presence of the field, leading to a mathematical structure of the type found in Optimal Control Theory (OCT). The first part of the paper provides the physical motivation for the definition of the objective functional. Then, the original objective, subject to the constraint of the TDSE, is transformed into an unconstrained, or modified objective and partitioned in a novel way following the work of Krotov. The partitioned form for the objective functional leads to a great deal of insight into the problem, as well as to a variety of remarkable new results. It is first used to introduce and contrast the necessary and sufficient conditions for optimal pulses. The partitioned objective is then used to derive a novel and remarkably efficient iterative algorithm to find optimal pulses. The new algorithm, which can be said to derive from the sufficient conditions of optimality, explicitly includes both linear and quadratic dependence of the objective on the field and the wavefunction, and as such is able to take macrosteps in the field at every iteration. In contrast, the usual gradient type methods include only the linear dependence of the objective on the field and the wavefunction; as a result they require a line search at each iteration and converge very slowly. Numerically, the new method several times more efficient than gradient type methods for the systems we have studied. In the last part of the paper the sufficient conditions for global optimality are used to obtain the first known upper bound on control of chemical reactions, subject to a penalty on the field energy. Although the upper bound is less than one (one represents 100% yield in the desired chemical arrangement channel) the discrepancy vanishes for zero penalty, consistent with 100% control of the channel from which the wavepacket exits.

Keywords

  • Optimal Control Problem
  • Line Search
  • Global Maximum
  • Optimal Control Theory
  • Optimal Pulse

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Alfred P. Sloan Foundation Fellow 1991–93

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References

  1. D.J. Tannor and S.A. Rice, J.Chem.Phys. 83, 5013 (1985).

    CrossRef  CAS  Google Scholar 

  2. D.J. Tannor, R. Kosloff and S.A. Rice, J.Chem.Phys. 85, 5805 (1986).

    CrossRef  CAS  Google Scholar 

  3. D.J. Tannor and S.A. Rice, Adv.Chem.Phys. 70, 441 (1988).

    CrossRef  CAS  Google Scholar 

  4. R. Kosloff, S.A. Rice, P. Gaspard, S. Tersigni and D.J. Tannor, Chem.Phys. 139, 201 (1989).

    CrossRef  CAS  Google Scholar 

  5. D.J. Tannor and Y. Jin, in Mode Selective Chemistry, B. Pullman, J. Jortner, and R.D. Levine, eds.(Kluwer, 1991).

    Google Scholar 

  6. D.J.Tannor, unpublished.

    Google Scholar 

  7. A.P. Pierce, M.A. Dahleh and H. Rabitz, Phys.Rev.A. 37, 4950 (1988).

    CrossRef  Google Scholar 

  8. S. Shi, A. Woody and H. Rabitz, J.Chem.Phys. 88, 6870 (1988).

    CrossRef  CAS  Google Scholar 

  9. S. Shi and H. Rabitz, J.Chem. Phys. 92, 364 (1990).

    CrossRef  CAS  Google Scholar 

  10. S. Shi and H. Rabitz, Comp.Phys.Comm. 63, 71 (1991).

    CrossRef  CAS  Google Scholar 

  11. P. Brumer and M. Shapiro, Chem.Phys.Lett. 126, 54 (1986).

    CrossRef  Google Scholar 

  12. M. Shapiro and P. Brumer, J.Chem.Phys. 84, 4103 (1986).

    CrossRef  CAS  Google Scholar 

  13. W. Jakubetz, J. Manz and H.-J. Schreier, Chem.Phys.Lett. 165 100 (1990).

    CrossRef  CAS  Google Scholar 

  14. B. Just, J. Manz and J.E. Combariza, J.Phys.Chem. 95, 10351 (1991).

    CrossRef  Google Scholar 

  15. V.F. Krotov and I.N. Fel’dman, Engrg. Cybernetics 21 (1983), 123 (1984).

    Google Scholar 

  16. V.F. Krotov, Control and Cybernetics 17 115 (1988).

    Google Scholar 

  17. Applied Optimal Control, A.E.Bryson, Jr. and Y.-C. Ho (Hemisphere, 1975).

    Google Scholar 

  18. Classical Mechanics, H. Goldstein (Addison-Wesley, 1950).

    Google Scholar 

  19. V.A. Kazakov and V.F. Krotov, Automation and Remote Control, no. 5, 430 (1987).

    Google Scholar 

  20. L.I. Rozonoér, Automation and Remote Control 20 1288 (1959).

    Google Scholar 

  21. L.I. Rozonoér, Automation and Remote Control 20 1405 (1959).

    Google Scholar 

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Tannor, D.J., Kazakov, V., Orlov, V. (1992). Control of Photochemical Branching: Novel Procedures for Finding Optimal Pulses and Global Upper Bounds. In: Broeckhove, J., Lathouwers, L. (eds) Time-Dependent Quantum Molecular Dynamics. Nato ASI Series, vol 299. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-2326-4_24

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  • DOI: https://doi.org/10.1007/978-1-4899-2326-4_24

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4899-2328-8

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