• Chinese Journal of Lasers
  • Vol. 48, Issue 24, 2412001 (2021)
Qian Liu1、2, Yu Xie1、2, Lin Li1、2, Ang’ang Liang1、2, Wenwen Li1、2, Henan Chen1、2, Su Fang1, Qiuzhi Qu1, Liang Liu1、***, Bin Wang1、**, and Desheng Lü1、*
Author Affiliations
  • 1Key Laboratory of Quantum Optics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
  • 2College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.3788/CJL202148.2412001 Cite this Article Set citation alerts
    Qian Liu, Yu Xie, Lin Li, Ang’ang Liang, Wenwen Li, Henan Chen, Su Fang, Qiuzhi Qu, Liang Liu, Bin Wang, Desheng Lü. Multiparameter Autonomous Optimization System for Ultracold Atomic Experiments Based on Artificial Neural Network[J]. Chinese Journal of Lasers, 2021, 48(24): 2412001 Copy Citation Text show less
    References

    [1] Migdall A L, Prodan J V, Phillips W D et al. First observation of magnetically trapped neutral atoms[J]. Physical Review Letters, 54, 2596-2599(1985).

    [2] Adams C S, Riis E. Laser cooling and trapping of neutral atoms[J]. Progress in Quantum Electronics, 21, 1-79(1997).

    [3] Cornell E A, Wieman C E. Bose-Einstein condensation in a dilute gas: the first 70 years and some recent experiments[J]. International Journal of Modern Physics B, 16, 4503-4536(2002).

    [4] Ketterle W, Durfee D S, Stamper-Kurn D M. Making, probing and understanding Bose-Einstein condensates[EB/OL]. (1999-04-02)[2021-04-20]. https://arxiv.org/abs/cond-mat/9904034

    [5] Kitching J, Knappe S, Donley E A. Atomic sensors: a review[J]. IEEE Sensors Journal, 11, 1749-1758(2011).

    [6] Briegel H J, Dür W, Cirac J I et al. Quantum repeaters: the role of imperfect local operations in quantum communication[J]. Physical Review Letters, 81, 5932-5935(1998).

    [7] Göbel E O, Siegner U. Quantum metrology: foundation of units and measurements[M](2015).

    [8] Dowling J P, Milburn G J. Quantum technology: the second quantum revolution[J]. Philosophical Transactions of the Royal Society of London Series A, 361, 1655-1674(2003).

    [9] Campbell G T, Pinel O, Hosseini M et al. Configurable unitary transformations and linear logic gates using quantum memories[J]. Physical Review Letters, 113, 063601(2014).

    [10] Silver D, Huang A, Maddison C J et al. Mastering the game of Go with deep neural networks and tree search[J]. Nature, 529, 484-489(2016).

    [11] Mnih V, Kavukcuoglu K, Silver D et al. Human-level control through deep reinforcement learning[J]. Nature, 518, 529-533(2015).

    [12] Wu J L, Guo Z H, Chen X F et al. Three-dimensional measurement method of light field imaging based on deep learning[J]. Chinese Journal of Lasers, 47, 120405(2020).

    [13] August M, Ni X T. Using recurrent neural networks to optimize dynamical decoupling for quantum memory[J]. Physical Review A, 95, 012335(2017).

    [14] Ju S H, Shiga T, Feng L et al. Designing nanostructures for phonon transport via Bayesian optimization[J]. Physical Review X, 7, 021024(2017).

    [15] Mavadia S, Frey V, Sastrawan J et al. Prediction and real-time compensation of qubit decoherence via machine learning[J]. Nature Communications, 8, 14106(2017).

    [16] Wigley P B, Everitt P J, van den Hengel A et al. Fast machine-learning online optimization of ultra-cold-atom experiments[J]. Scientific Reports, 6, 25890(2016).

    [17] Amstrup B, Toth G J, Szabo G et al. Genetic algorithm with migration on topology conserving maps for optimal control of quantum systems[J]. The Journal of Physical Chemistry, 99, 5206-5213(1995).

    [18] Geisel I, Cordes K, Mahnke J et al. Evolutionary optimization of an experimental apparatus[J]. Applied Physics Letters, 102, 214105(2013).

    [19] Beil F, Buschbeck M, Heinze G et al. Light storage in a doped solid enhanced by feedback-controlled pulse shaping[J]. Physical Review A, 81, 053801(2010).

    [20] Tsubouchi M, Momose T. Rovibrational wave-packet manipulation using shaped midinfrared femtosecond pulses toward quantum computation: optimization of pulse shape by a genetic algorithm[J]. Physical Review A, 77, 052326(2008).

    [21] Knoll D A, Keyes D E. Jacobian-free Newton-Krylov methods: a survey of approaches and applications[J]. Journal of Computational Physics, 193, 357-397(2004).

    [22] Liu H L, Zhu P X, Chen Y et al. Optimization of indoor VLC coverage uniformity by improved genetic simulated annealing algorithm[J]. Chinese Journal of Lasers, 46, 0106001(2019).

    [23] Bird G A. Molecular gas dynamics and the direct simulation of gas flow[M](1994).

    [24] Zhao Z H, Wang X C, Li B et al. Atom transport with exponentially growing population on an atom chip[J]. Acta Optica Sinica, 38, 0902001(2018).

    [25] Goodfellow I, Bengio Y, Courville A. Deep learning[M](2016).

    [26] Chollet F. Deep learning with Python[M]. Zhang L, Transl, 68-72(2018).

    [27] Peng X K, Ji J W, Li L et al. Online learning method based on artificial neural network to optimize magnetic shielding characteristic parameters[J]. Acta Physica Sinica, 68, 0903002(2019).

    [28] Wang Y Q. Laser cooling and trapping of atoms[M](2007).

    Qian Liu, Yu Xie, Lin Li, Ang’ang Liang, Wenwen Li, Henan Chen, Su Fang, Qiuzhi Qu, Liang Liu, Bin Wang, Desheng Lü. Multiparameter Autonomous Optimization System for Ultracold Atomic Experiments Based on Artificial Neural Network[J]. Chinese Journal of Lasers, 2021, 48(24): 2412001
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