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doc/guide/guide-control.rst

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@@ -406,6 +406,11 @@ Defining a control problem in QuTiP using the Genetic Algorithm follows the same
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print("Final infidelity:", result.infidelity)
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print("Best control parameters:", result.optimized_params)
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References
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==========
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.. [Brown2023] J. Brown, M. Paternostro, and A. Ferraro, "Optimal quantum control via genetic algorithms for quantum state engineering in driven‑resonator mediated networks," *Quantum Sci. Technol.*, vol. 8, no. 2, p. 025004, 2023. https://doi.org/10.1088/2058-9565/acb2f2
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.. TODO: add examples
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Examples for Liouvillian dynamics and multi-objective optimization will follow soon.

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