1998
DOI: 10.1063/1.476575
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A rapid monotonically convergent iteration algorithm for quantum optimal control over the expectation value of a positive definite operator

Abstract: A new iteration method is presented for achieving quantum optimal control over the expectation value of a positive definite operator. Theoretical analysis shows that this new algorithm exhibits quadratic and monotonic convergence. Numerical calculations verify that for this new algorithm, within a few steps, the optimized objective functional comes close to its converged limit.

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Cited by 304 publications
(328 citation statements)
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“…For the parameter choice σ = 1 and τ = 0, the original Krotov method [21] is obtained and, for σ = τ = 1, the algorithm corresponds to the one proposed by Zhu et al [28,29]. We propose to restrict the space of possible pulses by Fourier transforming and truncating the expansion.…”
Section: Comparison With the Krotov Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…For the parameter choice σ = 1 and τ = 0, the original Krotov method [21] is obtained and, for σ = τ = 1, the algorithm corresponds to the one proposed by Zhu et al [28,29]. We propose to restrict the space of possible pulses by Fourier transforming and truncating the expansion.…”
Section: Comparison With the Krotov Methodsmentioning
confidence: 99%
“…We design a pulse of length 100 fs using both the Krotov-like method by Zhu and Rabitz [29] and our Fourier-based BFGS method. We use a step size of ∆t = 0.01 fs.…”
Section: Comparison With Krotov-like Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…[7]) there exists U T ∈ S U (5) such that U T ψ 0 = ψ T and by the Theorem 4 there exists a time T and a control u : [0, T ] → R such that u(t), u(t) − 0.1 and u(t) + 0.1 all drive Id to U T in equation (1) thus all drive the initial state ψ 0 to the final state ψ T in equation (10). We searched numerically the control u(t) using a so-called monotonic procedure, see [44][45][46][47][48][49] for details. For T = 500, we obtain the control presented in Figure 1.…”
Section: Application To the Control Of A Quantum Systemmentioning
confidence: 99%
“…A great effort has been invested in recent years in the development of different methods in order to solve the optimal equations [26,27,28,29,30]. Monotonically convergent iterative schemes proposed by Tannor et al [31] and Rabitz et al [32] have been successfully applied to the control of different quantum phenomena, mainly related to chemical process [33,34]. In the last years, optimal control theory became a research area that has received increasing interest from the scientists studying emerging fields within quantum information science [35,36].…”
Section: Introductionmentioning
confidence: 99%