Muhammad Usman (academic)

Muhammad Usman
CitizenshipAustralia
Alma materPurdue University (PhD, 2010)
Scientific career
FieldsQuantum computing
InstitutionsCSIRO, University of Melbourne, Monash University, RMIT, University of Queensland, University of Sydney.

Muhammad Usman FAIP is an Australian quantum physicist. He is the Head of Quantum Systems and Senior Principal Staff Member at CSIRO's Data61.[1] He has academic associations at the University of Melbourne and Monash University, where he is an Honorary Associate Professor[2] and Adjunct Associate Professor respectively, as well as at RMIT, where he is a Full Professor.[3] Furthermore, he has connections to the University of Queensland, where he is an Associate Investigator, ARC Center of Excellence in Quantum Biotechnology (QUBIC)[4] and to the University of Sydney, where he is a Partner Investigator, ARC Training Center for Future Leaders in Quantum Computing (FLiQC).[1][5]

He is also an advocate for STEM education and has been promoting quantum education among school children as part of the CSIRO’s STEM Scientists in Schools program.[1]

He was formerly an IBM Q Hub Academic.[6]

Roles

Usman is a Fellow of the Australian Institute of Physics (FAIP)[7] and is an Awards Officer and a Member of the Federal Executive Board there.[8] He also serves on the executive editorial boards of several journals including ACM Computing Surveys,[9] Springer Nature Quantum Machine Intelligence, IOP Nano Futures,[10] IOP Modelling and Simulations in Materials Science and Engineering,[11] and Nature Scientific Reports.[12][13] He is furthermore a committee member of Standards Australia (JTC-3 Quantum), in which he represents CSIRO.[1] Furthermore, in 2026, Usman became the member of the Australian National Committee for Physics[14] with the Australian Academy of Science.

He was the Chair of Organizing Committee (Conference General Chair) of the International Conference on Quantum Techniques in Machine Learning 2024,[15] and also served on the scientific committee of the IWCE international conference.[2] He is currently a Steering Committee Member of the International Conference on Quantum Techniques[16] and of the Next Gen Quantum Graduate Program. He is also an Advisory Committee member of the Next Gen Quantum Graduate Program.

He is a guest editor of Quantum Technologies for Healthcare Nature Scientific Reports,[17] QTML 2024 Topical Collection Special Issue at Springer Nature Quantum Machine Intelligence journal,[18] and IOP Nano Futures for Focus on Horizon 2025: Development Trends and Future Challenges in nano-science.[19] In 2026, he was an organiser of the Quantum Computing Summer School at RMIT.[20]

He was formerly an Invited International Referee for the Swiss National Science Foundation (SNSF), the US Department of Energy (DOE) Office of Science, the Engineering Research Council of Canada (NSERC), the Dutch Research Council, and for Quantum Information Science Enabled Discovery (QUANTISED 2.0) for High Energy Physics.[1]

He is also a part of the IBM Quantum Technologies for ‘Healthcare and Life Sciences (HCLS) Working Group, the Whole of Government Quantum Network (DISR), and of the Education Committee at the Melbourne School of Engineering.

He is also a member of the American Physical Society (APS), the Materials Research Society (MRS), Engineers Australia, the Network for Computational Nanotechnology (NCN) and the Institute of Electrical and Electronics Engineers (IEEE) societies.[2]

Research

Usman leads a team of researchers who work in the areas of quantum algorithms, quantum software engineering, and quantum security.[1] His research aims to utilize quantum nano-materials to revolutionise next generation technologies. It spans the areas of quantum algorithms, quantum software engineering, and quantum cybersecurity.[2][21]

This research aims to find its applications in the optimisation of transport for the Olympic Games,[22] advances in environmental science and decarbonisation,[23] early stage medical diagnostics for diseases,[24] agricultural monitoring,[25] data science,[26] astronomy, materials chemistry,[27] the discovery of new medicine,[28] and in security in the defence force and in self-driving vehicles,[29] as well as in the general area of Artificial Intelligence.[30] Some of these practical applications are expected to be achieved in the near future.[31][32][28] Their potential has already been demonstrated.[25][33]

These applications all leverage the use of quantum entanglement.[23] His work has also leveraged the use of AI.[34]

Some practical applications have already been achieved by Usman's research. A study led by him marked the first time anyone has been able to pinpoint the location of an atom, as well as those of atom-sized quantum bits. This achievement will assist the ability to achieve the aforementioned applications.[27][35] His research has also improved semiconductor manufacturing[36] and has demonstrated that quantum circuits for data encoding in quantum machine learning can be greatly simplified without compromising their accuracy or strength.[37] He is the editor of a Book Quantum Robustness in Artificial Intelligence [38] which will be published in 2026 by the Springer Nature as part of the Quantum Science and Technology series. [39]

Awards

His work on Quantum Machine Learning was the Winner of the State of Victoria iAward 2024,[40] Innovative of the Year 2023 Award by the Defence Industry,[41] Winner of the Australian Army Quantum Technology Challenge for three years (2021, 2022 and 2023),[42] the Rising Stars in Computational Materials Science by Elsevier in 2020,[43] and the Dean’s Award for Excellence in Research (Early Career)[44] at the University of Melbourne in 2019. Usman is also a recipient of research fellowships from Fulbright USA (2005-2010) and DAAD Germany in 2010, as well as of Purdue's Graduate School Tuition Award.[1][2]

Selected Publications

Maxwell T. West, Shu-Lok Tsang, Jia S. Low, Charles D. Hill, Christopher Leckie, Lloyd C.L. Hollenberg, Sarah M. Erfani, Muhammad Usman, Nature Machine Intelligence 5, 581 (2023); DOI: https://doi.org/10.1038/s42256-023-00661-1

Muhammad Usman, Juanita Bocquel, Joe Salfi, Benoit Voisin, Archana Tankasala, Rajib Rahman, Michelle Y. Simmons, Sven Rogge, Lloyd C.L. Hollenberg, Nature Nanotechnology 11, 763 (2016); DOI: https://doi.org/10.1038/nnano.2016.83

Muhammad Usman, Yi Z. Wong, Charles D. Hill, Lloyd C.L. Hollenberg, NPJ Computational Materials 6, 19 (2020); DOI: https://doi.org/10.1038/s41524-020-0282-0

Azar C. Nakhl, Ben Harper, Maxwell West, Neil Dowing, Martin Sevior, Thomas Quella, Muhammad Usman, Physical Review Letters 134 190602, (2025); DOI: https://doi.org/10.1103/PhysRevLett.134.190602

Zeheng Wang, Tim van der Laan, Muhammad Usman, Advanced Science 12, 2411573, (2025); DOI: https://doi.org/10.1002/advs.202411573

References

  1. ^ a b c d e f g "Prof Muhammad Usman". people.csiro.au. Retrieved 24 January 2026.
  2. ^ a b c d e "A/Prof M Usman". University of Melbourne. Retrieved 24 January 2026.
  3. ^ "Muhammad Usman". www.rmit.edu.au. Retrieved 24 January 2026.
  4. ^ "People". The ARC Centre of Excellence in Quantum Biotechnology (QUBIC). Retrieved 26 January 2026.
  5. ^ "Our Partners - Future Leaders in Quantum Computing". 10 March 2025. Retrieved 26 January 2026.
  6. ^ Dorey, Nathan (20 April 2021). "IBM Quantum Hub at the University of Melbourne". IBM Quantum Hub at The University of Melbourne. Retrieved 24 January 2026.
  7. ^ "The Australian Institute of Physics - Public Fellows List". aip.org.au. Archived from the original on 15 January 2025. Retrieved 26 January 2026.
  8. ^ "The Australian Institute of Physics - Committees". aip.org.au. Retrieved 26 January 2026.
  9. ^ "ACM COMPUTING SURVEYS Editorial Board | ACM Digital Library". ACM Computing Surveys. Retrieved 26 January 2026.
  10. ^ "Editorial board". IOPscience - Publishing Support. Retrieved 26 January 2026.
  11. ^ "Editorial board - IOPscience - Publishing Support". IOPscience - Publishing Support. Archived from the original on 19 May 2024. Retrieved 26 January 2026.
  12. ^ "Editors | Scientific Reports". www.nature.com. Retrieved 26 January 2026.
  13. ^ "Secure Australia 2026". Secure Australia 2026. Retrieved 24 January 2026.
  14. ^ "National Committee for Physics | Australian Academy of Science". science.org.au. Retrieved 27 February 2026.
  15. ^ "Committees - QTML 2024 Conference". QTML 2024. 8 February 2024. Retrieved 26 January 2026.
  16. ^ "QTML 2025 - Home". Quantum Techniques in Machine Learning (QTML). Retrieved 26 January 2026.
  17. ^ "Quantum technologies for healthcare". Nature. 23 April 2026. Retrieved 26 January 2026.
  18. ^ "Quantum Techniques in Machine Learning 2024". SpringerLink. Retrieved 26 January 2026.
  19. ^ IOPscience. (2025). Focus on Horizon 2025: Development Trends and Future Challenges in Nanoscience - Nano Futures - IOPscience. Iop.org. https://iopscience.iop.org/journal/2399-1984/page/focus-on-horizon-2025-development-trends-and-future-challenges-in-nanoscience
  20. ^ "Quantum Computing Summer School 2026". RMIT. Retrieved 26 January 2026.
  21. ^ "Muhammad Usman". The ARC Centre of Excellence in Quantum Biotechnology (QUBIC). Retrieved 24 January 2026.
  22. ^ Khatun, A., Vallury, H., Rajabi, M., Clarke, D., Burke, M., Du, B., Shukla, N., & Usman, M. (2025). Quantum Transport Computing with a Perspective for Olympics and Paralympics 2032. https://doi.org/10.20944/preprints202510.1511.v1 ‌
  23. ^ a b "How quantum physics could 'revolutionise everything'". 6 May 2024. Retrieved 24 January 2026.
  24. ^ Khatun, A., Yeter Aydeniz, K., Weinstein, Y. S., & Usman, M. (2025). Quantum generative learning for high-resolution medical image generation. Machine Learning: Science and Technology, 6(2), 025032. https://doi.org/10.1088/2632-2153/add1a9
  25. ^ a b CSIRO. "CSIRO shows practical application for quantum machine learning". www.csiro.au. Retrieved 24 January 2026.
  26. ^ Leditto, Caesnan M.G.; Southwell, Angus; Tonekaboni, Behnam; White, Gregory A.L.; Usman, Muhammad; Modi, Kavan (21 May 2025). "Topological signal processing on quantum computers for higher-order network analysis". Physical Review Applied. 23 (5). doi:10.1103/PhysRevApplied.23.054054. ISSN 2331-7019. Archived from the original on 5 August 2025.
  27. ^ a b Melbourne, U. (18 March 2020). "Machine learning pushes quantum computing forward". Futurity. Retrieved 24 January 2026.
  28. ^ a b Usman, Muhammad (7 January 2025). "2025 will see huge advances in quantum computing. So what is a quantum chip and how does it work?". The Conversation. Retrieved 24 January 2026.
  29. ^ Usman, Muhammad (25 May 2023). "From self-driving cars to military surveillance: quantum computing can help secure the future of AI systems". The Conversation. Retrieved 26 January 2026.
  30. ^ Hall, B., Spiro Gicev, & Usman, M. (2024). Artificial neural network syndrome decoding on IBM quantum processors. Physical Review Research, 6(3). https://doi.org/10.1103/physrevresearch.6.l032004 ‌
  31. ^ CSIRO. "Quantum leaps: seven recent breakthroughs from CSIRO". www.csiro.au. Retrieved 24 January 2026.
  32. ^ "Quantum machine learning nears practicality as partial error correction reduces hardware demands". Archived from the original on 19 December 2025. Retrieved 24 January 2026.
  33. ^ "CSIRO Shows Practical Application for Quantum Machine Learning". HPCwire. Retrieved 24 January 2026.
  34. ^ "Artificial intelligence could help make quantum computers a reality". Archived from the original on 12 January 2026. Retrieved 24 January 2026.
  35. ^ Jesus, Cecille De (12 June 2016). "For the First Time, Quantum Physicists Were Able to Pinpoint the Location of An Atom". Futurism. Retrieved 24 January 2026.
  36. ^ Arnold, Paul (3 July 2025). "Quantum machine learning improves semiconductor manufacturing for first time". Techxplore. Retrieved 24 January 2026.
  37. ^ "New quantum encoding methods slash circuit complexity in machine learning". EurekAlert!. Retrieved 24 January 2026.
  38. ^ "Quantum Robustness in Artificial Intelligence". Springer Nature. Retrieved 28 February 2026.
  39. ^ "Springer Nature Book Series, Quantum Science and Technology Series". Springer Nature. Retrieved 28 February 2026.
  40. ^ "2024 VIC Winners and Merit Recipients Archives". AIIA. Retrieved 26 January 2026.
  41. ^ "2023 winners and finalists". www.defenceconnect.com.au. Retrieved 26 January 2026.
  42. ^ Materials for Quantum and Photonic Technologies (8 April 2024). Quantum Adversarial Machine Learning. Retrieved 26 January 2026 – via YouTube.
  43. ^ "Computational Materials Science | 2020 Rising Stars in Computational Materials Science | ScienceDirect.com by Elsevier". www.sciencedirect.com. Retrieved 26 January 2026.
  44. ^ Nicholls, Naomi (18 September 2024). "Dean's Award for Excellence recipients". Faculty of Science. Retrieved 26 January 2026.
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