Dr Moji Ghadimi

Research Fellow

Physics
Faculty of Science

Overview

Moji Ghadimi has used his computational skills to publish in the research fields below:

  • Artificial intelligence for health.
  • Quantum machine learning.
  • Foundations of machine learning (optimization).
  • Applications of machine learning for quantum experiments.
  • Foundations of quantum mechanics.
  • Experimental quantum computing with ions.
  • Computational plasma physics.

He is also a science communicator for industry and general public that gives talks on practical quantum computing and foundations of quantum mechanics through the meetup group Quantum Computing Brisbane and public events like Pint of Science.

Publications

  • Ghadimi, Moji, Zappacosta, Alexander, Scarabel, Jordan, Shimizu, Kenji, Streed, Erik W. and Lobino, Mirko (2022). Dynamic compensation of stray electric fields in an ion trap using machine learning and adaptive algorithm. Scientific Reports, 12 (1), 1-8. doi: 10.1038/s41598-022-11142-7

  • Shimizu, Kenji, Scarabel, Jordan, Bridge, Elizabeth, Connell, Steven, Ghadimi, Moji, Haylock, Ben, Hussain, Mahmood Irtiza, Streed, Erik and Lobino, Mirko (2021). Ultrafast coherent excitation of an ytterbium ion with single laser pulses. Applied Physics Letters, 119 (21) 214003, 1-4. doi: 10.1063/5.0073136

  • Connell, Steven C., Scarabel, Jordan, Bridge, Elizabeth M., Shimizu, Kenji, Blūms, Valdis, Ghadimi, Mojtaba, Lobino, Mirko and Streed, Erik W. (2021). Ion-photonic frequency qubit correlations for quantum networks. Journal of Physics B: Atomic, Molecular and Optical Physics, 54 (17) 175503. doi: 10.1088/1361-6455/ac2984

View all Publications

Supervision

  • Doctor Philosophy

View all Supervision

Publications

Journal Article

Conference Publication

  • Scarabel, Jordan, Shimizu, Kenji, Ghadimi, Moji, Lobino, Mirko and Streed, Erik (2021). Raman sideband cooling 171Yb+ across Zeeman sub-levels. Laser Science, LS 2021 - Part of Frontiers in Optics, FiO 2021, Online, 1–4 November 2021. Washington, DC United States: Optica Publishing Group. doi: 10.1364/FIO.2021.JW7A.33

  • Ghadimi, M., Connell, S., Scarabel, J., Shimizu, K., Streed, E. and Lobino, M. (2019). Towards long-distance quantum communication using trapped ions and frequency qubits. AOS Australian Conference on Optical Fibre Technology (ACOFT) / Australian Conference on Optics, Lasers, and Spectroscopy (ACOLS), Melbourne, VIC, Australia, 9-12 December 2019. Bellingham, WA United States: SPIE - International Society for Optical Engineering. doi: 10.1117/12.2540050

  • Norton, Benjamin G., Ghadimi, Moji, Blums, Valdis and Kielpinski, David (2016). Monolithic optical integration for scalable trapped-ion quantum information processing. 11th Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR), Busan, Korea, 24-28 August 2015. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/cleopr.2015.7376434

  • Streed, Erik W., Ghadimi, Moji, Blums, Valdis, Norton, Benjamin G., Connor, Paul, Amini, Jason M., Volin, Curtis, Lobino, Mirko and Kielpinski, David (2016). Integrated Fresnel mirrors for scalable trapped ion quantum computing. CLEO: QELS_Fundamental Science 2016, San Jose, CA United States, 5–10 June 2016. Washington, DC United States: Optica Publishing Group.

  • Streed, Erik W., Ghadimi, Moji, Blums, Valdis, Norton, Benjamin G., Connor, Paul, Amini, Jason M., Volin, Curtis, Lobino, Mirko and Kielpinski, David (2016). Integrated Fresnel mirrors for scalable trapped ion quantum computing. Conference on Lasers and Electro-Optics (CLEO), San Jose, CA United States, 5-10 June 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers.

  • Abbasi, H., Ghadimi, M., Jenab, M. and Javaheri, N. (2007). Vlasov model using kinetic phase point trajectories for the study of BGK modes. Conference on Computational Physics (CCP 2006), Gyeongju, South Korea, 29 August - 1 September 2006. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.cpc.2007.02.009

PhD and MPhil Supervision

Current Supervision