Moji Ghadimi
Senior Research Fellow, University of Queensland
Research Expertise
About
Publications
Scalable ion–photon quantum interface based on integrated diffractive mirrors
npj Quantum Information / Jan 31, 2017
Ghadimi, M., Blūms, V., Norton, B. G., Fisher, P. M., Connell, S. C., Amini, J. M., Volin, C., Hayden, H., Pai, C.-S., Kielpinski, D., Lobino, M., & Streed, E. W. (2017). Scalable ion–photon quantum interface based on integrated diffractive mirrors. Npj Quantum Information, 3(1). https://doi.org/10.1038/s41534-017-0006-6
Nonlocality in Bell’s Theorem, in Bohm’s Theory, and in Many Interacting Worlds Theorising
Entropy / Jul 30, 2018
Ghadimi, M., Hall, M., & Wiseman, H. (2018). Nonlocality in Bell’s Theorem, in Bohm’s Theory, and in Many Interacting Worlds Theorising. Entropy, 20(8), 567. https://doi.org/10.3390/e20080567
Multichannel optomechanical switch and locking system for wavemeters
Applied Optics / Jun 05, 2020
Ghadimi, M., Bridge, E. M., Scarabel, J., Connell, S., Shimizu, K., Streed, E., & Lobino, M. (2020). Multichannel optomechanical switch and locking system for wavemeters. Applied Optics, 59(17), 5136. https://doi.org/10.1364/ao.390881
Ion–photonic frequency qubit correlations for quantum networks
Journal of Physics B: Atomic, Molecular and Optical Physics / Sep 08, 2021
Connell, S. C., Scarabel, J., Bridge, E. M., Shimizu, K., Blūms, V., Ghadimi, M., Lobino, M., & Streed, E. W. (2021). Ion–photonic frequency qubit correlations for quantum networks. Journal of Physics B: Atomic, Molecular and Optical Physics, 54(17), 175503. https://doi.org/10.1088/1361-6455/ac2984
POS-849 CHARACTERISTICS AND OUTCOMES OF HOSPITALIZED COVID-19 PATIENTS WITH ACUTE KIDNEY INJURY
Kidney International Reports / Feb 01, 2022
ESCUDERO, A. E., Ferrer, F., & Pascual, C. (2022). POS-849 CHARACTERISTICS AND OUTCOMES OF HOSPITALIZED COVID-19 PATIENTS WITH ACUTE KIDNEY INJURY. Kidney International Reports, 7(2), S366–S367. https://doi.org/10.1016/j.ekir.2022.01.887
Feasibility study of a coherent feedback squeezer
Physical Review A / Mar 02, 2020
Yokoyama, S., Peace, D., Asavanant, W., Tajiri, T., Haylock, B., Ghadimi, M., Lobino, M., Huntington, E. H., & Yonezawa, H. (2020). Feasibility study of a coherent feedback squeezer. Physical Review A, 101(3). https://doi.org/10.1103/physreva.101.033802
Dynamic compensation of stray electric fields in an ion trap using machine learning and adaptive algorithm
Scientific Reports / Apr 29, 2022
Ghadimi, M., Zappacosta, A., Scarabel, J., Shimizu, K., Streed, E. W., & Lobino, M. (2022). Dynamic compensation of stray electric fields in an ion trap using machine learning and adaptive algorithm. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-11142-7
Ultrafast coherent excitation of an ytterbium ion with single laser pulses
Applied Physics Letters / Nov 22, 2021
Shimizu, K., Scarabel, J., Bridge, E., Connell, S., Ghadimi, M., Haylock, B., Hussain, M. I., Streed, E., & Lobino, M. (2021). Ultrafast coherent excitation of an ytterbium ion with single laser pulses. Applied Physics Letters, 119(21). https://doi.org/10.1063/5.0073136
Laser stabilization to neutral Yb in a discharge with polarization-enhanced frequency modulation spectroscopy
Review of Scientific Instruments / Dec 01, 2020
Blūms, V., Scarabel, J., Shimizu, K., Ghadimi, M., Connell, S. C., Händel, S., Norton, B. G., Bridge, E. M., Kielpinski, D., Lobino, M., & Streed, E. W. (2020). Laser stabilization to neutral Yb in a discharge with polarization-enhanced frequency modulation spectroscopy. Review of Scientific Instruments, 91(12). https://doi.org/10.1063/5.0019252
Vlasov model using kinetic phase point trajectories for the study of BGK modes
Computer Physics Communications / Jul 01, 2007
Abbasi, H., Ghadimi, M., Jenab, M., & Javaheri, N. (2007). Vlasov model using kinetic phase point trajectories for the study of BGK modes. Computer Physics Communications, 177(1–2), 124. https://doi.org/10.1016/j.cpc.2007.02.009
Parameter dependence and Bell nonlocality
Physical Review A / Sep 07, 2021
Ghadimi, M. (2021). Parameter dependence and Bell nonlocality. Physical Review A, 104(3). https://doi.org/10.1103/physreva.104.032205
Integrated Fresnel Mirrors for Scalable Trapped Ion Quantum Computing
Conference on Lasers and Electro-Optics / Jan 01, 2016
Streed, E. W., Ghadimi, M., Blums, V., Norton, B. G., Connor, P., Amini, J. M., Volin, C., Lobino, M., & Kielpinski, D. (2016). Integrated Fresnel Mirrors for Scalable Trapped Ion Quantum Computing. Conference on Lasers and Electro-Optics. https://doi.org/10.1364/cleo_qels.2016.fm2c.2
Effect of Covid-19 Vaccination on Hospitalizations
Black Sea Journal of Health Science / Apr 01, 2023
ÖZGEN, E., YAZICIOĞLU, B., BİLGİN, M., & ORUÇ, M. A. (2023). Effect of Covid-19 Vaccination on Hospitalizations. Black Sea Journal of Health Science, 6(2), 246–252. https://doi.org/10.19127/bshealthscience.1160316
Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy
BMC Medical Informatics and Decision Making / Oct 09, 2023
Kamel Rahimi, A., Ghadimi, M., van der Vegt, A. H., Canfell, O. J., Pole, J. D., Sullivan, C., & Shrapnel, S. (2023). Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy. BMC Medical Informatics and Decision Making, 23(1). https://doi.org/10.1186/s12911-023-02306-0
Machine Learning Decision Support Systems for Predicting Acute Kidney Injury: Improving Precision to improve patient outcomes
May 31, 2023
Rahimi, A. K., Ghadimi, M., Canfell, O. J., Pole, J. D., Sullivan, C., & Shrapnel, S. (2023). Machine Learning Decision Support Systems for Predicting Acute Kidney Injury: Improving Precision to improve patient outcomes. https://doi.org/10.21203/rs.3.rs-2975957/v1
Outcomes, Risk Factors, and Incidence of Acute Kidney Injury in Hospitalized COVID-19 Patients
Iranian Red Crescent Medical Journal / Jan 24, 2023
Outcomes, Risk Factors, and Incidence of Acute Kidney Injury in Hospitalized COVID-19 Patients. (2023). Iranian Red Crescent Medical Journal. Internet Archive. https://doi.org/10.32592/ircmj.2023.25.2.2125
Raman Sideband Cooling 171Yb+ Across Zeeman Sub-levels
Frontiers in Optics + Laser Science 2021 / Jan 01, 2021
Scarabel, J., Shimizu, K., Ghadimi, M., Lobino, M., & Streed, E. (2021). Raman Sideband Cooling 171Yb+ Across Zeeman Sub-levels. Frontiers in Optics + Laser Science 2021. https://doi.org/10.1364/fio.2021.jw7a.33
Towards long-distance quantum communication using trapped ions and frequency qubits
AOS Australian Conference on Optical Fibre Technology (ACOFT) and Australian Conference on Optics, Lasers, and Spectroscopy (ACOLS) 2019 / Dec 30, 2019
Ghadimi, M., Connell, S., Scarabel, J., Shimizu, K., Streed, E., & Lobino, M. (2019). Towards long-distance quantum communication using trapped ions and frequency qubits. In A. Mitchell & H. Rubinsztein-Dunlop (Eds.), AOS Australian Conference on Optical Fibre Technology (ACOFT) and Australian Conference on Optics, Lasers, and Spectroscopy (ACOLS) 2019. SPIE. https://doi.org/10.1117/12.2540050
Monolithic optical integration for scalable trapped-ion quantum information processing
2015 11th Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR) / Aug 01, 2015
Norton, B. G., Ghadimi, M., Blums, V., & Kielpinski, D. (2015, August). Monolithic optical integration for scalable trapped-ion quantum information processing. 2015 11th Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR). https://doi.org/10.1109/cleopr.2015.7376434
Education
Griffith University
PhD, Quantum Physics / January, 2017
Experience
The University of Queensland
Research Flllow level B / September, 2021 — Present
I manage a team of research assistants and PhD students who work on machine learning (in collaboration with Queensland Digital Health Centre, AU and Oxford University, UK) and quantum computing projects (in partnership with EQUS Research Centre, AU). I have published the results in world-leading level journals. - Improving quantum sensors using machine learning. - Improving training methods for quantum neural networks. - Improving the accuracy of training methods for neural networks (CNNs, LLMs) in collaboration with Griffith University, AU. - Machine Learning for detection of Kidney injury in hospitals in collaboration with Queensland Digital Health Centre. - Analysis of the ISARIC/Oxford international dataset, the largest COVID dataset in the world.
Griffith University
Research Fellow / December, 2018 — September, 2021
- Supervised stabilising quantum computers using machine learning. - Supervised the project “The Internet of the future: towards an intercontinental quantum network,” funded $870,000 to implement quantum security protocols over 60 km of optical fibre.
Ash food company
IT and Data Analytics Manager / September, 2009 — November, 2012
- Managed the IT unit of the Ash food production company, supervised 5 engineers and 15 technicians in the branches across the country and managed a total annual budget of $500,000. - Performed sales analytics with Excel and SQL Server. - I did web programming with PHP and MySQL. - I received a letter of appreciation for transforming the unit.
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