光学调控非对称双量子点系统的相干布居转移

Yu, 郭裕 Guo; Pengfei, 刘鹏飞 Liu; Chuancun, 束传存 Shu

doi:10.3788/aos202242.2327001

Cited by 1 publication

(2 citation statements)

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“…As a result, the efficiency of the control scheme is greatly impacted by fluctuations in the control field parameters and decoherence arising from the surrounding environment. [48] To tackle these challenges, we use the FDQOCT method developed in Refs. [27][28][29] to determine optimal time-dependent control fields by optimizing the spectral phase while keeping the spectral amplitude unchanged.…”

Section: Population Transfer By Optimizing the Spectral Phasementioning

confidence: 99%

“…[35][36][37][38][39][40][41][42][43] We concentrate on achieving optimal and robust population transfer in an asymmetric double quantum-dot molecule (ADQDM). [44][45][46][47][48] The present system consists of two SQDs with distinct band structures connected through tunneling. Extensive research has been conducted on such systems, revealing intriguing optical phenomena such as tunneling-induced transparency, [49][50][51] tunneling-induced optical limiting, [52] tunneling-induced Talbot effect, [53] and tunneling-induced phase grating.…”

Section: Introductionmentioning

confidence: 99%

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Optimal and robust control of population transfer in asymmetric quantum-dot molecules

Guo 郭,

Ma 马,

Shu 束

2024

Chinese Phys. B

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We present an optimal and robust quantum control method for efficient population transfer in asymmetric double quantum dot molecules. We derive a long-duration control scheme that allows for highly efficient population transfer by accurately controlling the amplitude of a narrow-bandwidth pulse. To overcome fluctuations in control field parameters, we employ a frequency-domain quantum optimal control theory method to optimize the spectral phase of a single pulse with broad bandwidth while preserving the spectral amplitude. We show that this spectral-phase-only optimization approach can successfully identify robust and optimal control fields, leading to efficient population transfer to the target state while concurrently suppressing population transfer to undesired states. The method demonstrates resilience to fluctuations in control field parameters, making it a promising approach for reliable and efficient population transfer in practical applications.

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