Nonlinear Optimal Control of Electron Dynamics within Hartree-Fock Theory
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866913599079841792 |
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| author | Bhat, Harish S. Bassi, Hardeep Isborn, Christine M. |
| author_facet | Bhat, Harish S. Bassi, Hardeep Isborn, Christine M. |
| contents | Consider the problem of determining the optimal applied electric field to drive a molecule from an initial state to a desired target state. For even moderately sized molecules, solving this problem directly using the exact equations of motion -- the time-dependent Schrödinger equation (TDSE) -- is numerically intractable. We present a solution of this problem within time-dependent Hartree-Fock (TDHF) theory, a mean field approximation of the TDSE. Optimality is defined in terms of minimizing the total control effort while maximizing the overlap between desired and achieved target states. We frame this problem as an optimization problem constrained by the nonlinear TDHF equations; we solve it using trust region optimization with gradients computed via a custom-built adjoint state method. For three molecular systems, we show that with very small neural network parametrizations of the control, our method yields solutions that achieve desired targets within acceptable constraints and tolerances. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2412_03672 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Nonlinear Optimal Control of Electron Dynamics within Hartree-Fock Theory Bhat, Harish S. Bassi, Hardeep Isborn, Christine M. Optimization and Control Chemical Physics Computational Physics Machine Learning 49N90, 81V70, 68T07 Consider the problem of determining the optimal applied electric field to drive a molecule from an initial state to a desired target state. For even moderately sized molecules, solving this problem directly using the exact equations of motion -- the time-dependent Schrödinger equation (TDSE) -- is numerically intractable. We present a solution of this problem within time-dependent Hartree-Fock (TDHF) theory, a mean field approximation of the TDSE. Optimality is defined in terms of minimizing the total control effort while maximizing the overlap between desired and achieved target states. We frame this problem as an optimization problem constrained by the nonlinear TDHF equations; we solve it using trust region optimization with gradients computed via a custom-built adjoint state method. For three molecular systems, we show that with very small neural network parametrizations of the control, our method yields solutions that achieve desired targets within acceptable constraints and tolerances. |
| title | Nonlinear Optimal Control of Electron Dynamics within Hartree-Fock Theory |
| topic | Optimization and Control Chemical Physics Computational Physics Machine Learning 49N90, 81V70, 68T07 |
| url | https://arxiv.org/abs/2412.03672 |