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Krotov Method for Optimal Control in Closed Quantum Systems

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arxiv 1809.09562 v2 pith:RDMSS5BM submitted 2018-09-25 quant-ph math-phmath.MP

classification quant-phmath-phmath.MP
keywords quantumcontrolmethodsystemskrotovoptimalmethodsreview
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Mathematical problems of optimal control in quantum systems attract high interest in connection with fundamental questions and existing and prospective applications. An important problem is the development of methods for constructing controls for quantum systems. One of the commonly used methods is the Krotov method initially proposed beyond quantum control in the articles by V.F.~Krotov and I.N.~Feldman (1978, 1983). The method was used to develop a novel approach for finding optimal controls for quantum systems in [D.J. Tannor, V. Kazakov, V. Orlov, In: Time-Dependent Quantum Molecular Dynamics, Boston, Springer, 347--360 (1992)] and [J.~Soml\'{o}i, V.A.~Kazakov, D.J.~Tannor, Chem. Phys., 172:1, 85--98 (1993)], and in many works of various scientists, as described in details in this review. The review discusses mathematical aspects of this method for optimal control of closed quantum systems. It outlines various modifications with respect to defining the improvement function (which in most cases is linear or linear-quadratic), constraints on control spectrum and on the states of a quantum system, regularizers, etc. The review describes applications of the Krotov method to control of molecular dynamics, manipulation of Bose-Einstein condensate, quantum gate generation. We also discuss comparison with GRAPE (GRadient Ascent Pulse Engineering), CRAB (Chopped Random-Basis), the Zhu---Rabitz and the Maday---Turinici methods.

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  1. Quantum Optimal Control with Geodesic Pulse Engineering

    quant-ph 2025-08 conditional novelty 6.0 of 10

    A new quantum optimal control algorithm that follows the geodesic on SU(2^n) converges to high-fidelity multi-qubit gates in far fewer iterations than GRAPE, including 5- and 6-qubit quantum Fourier transforms on Rydb...

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