Public Profiles:
Public Profiles:
Google Scholar Profile: https://scholar.google.com.au/citations?user=v-UffdMAAAAJ&hl=en
ORCID: https://orcid.org/0000-0003-3476-2348
Embedded Files
Peer-reviewed Publications and arXiv pre-prints:
Peer-reviewed Publications and arXiv pre-prints:
Fourier analysis of quantum neural networks with non-linear data embedding
Haiyue Kang, Martin Sevior, Muhammad Usman
arXiv (2026)
Efficient quantum algorithms for higher-order coupled oscillators
Caesnan Leditto, Angus Southwell, Muhammad Usman, Kavan Modi
arXiv (2026)
Quantum computing for smart grid
Fanfan Lin, Zeheng Wang, Chao Ren, Xinze Li, Juan Jose, Sergio Vazquez, Alan Mantooth, Mikael Skoglund, Tim van der Laan, Muhammad Usman
Nature Reviews Electrical Engineering, (May 2026); DOI: https://doi.org/10.1038/s44287-026-00295-6
TechXplore Media Release: https://techxplore.com/news/2026-05-quantum-energy-grid-optimization.html
Australian Manufacturing Media Release; CSIRO Media Release; National Tribune Media Release; Energy Magazine; The Energy
Non-clifford crosstalk noise in surface codes using hybrid stabiliser-tensor network methods
Ben Harper, Azar C Nakhl, Martin Sevior, Muhammad Usman
arXiv (2026)
Crosstalk in contemporary quantum devices
Spiro Gicev, Ben Harper, Haiyue Kang, Muhammad Usman, Martin Sevior
arXiv (2026)
Feature-level analysis and adversarial transfer in rotationally equivariant quantum machine learning
Maureen Krumtunger, Martin Sevior, Muhammad Usman
arXiv (2026)
Fictitious copy quantum error mitigation
Akib Karim, Harish Vallury, Muhammad Usman
arXiv (2026)
A hardware efficient quantum residual neural network without post-selection
Amena Khatun, Akib Karim, Muhammad Usman
arXiv (2026)
John F Kam, Angus Southwell, Spiro Gicev, Muhammad Usman, Kavan Modi
arXiv (2026)
Mykhailo Klymenko, Bahar Goldozian, Thong Hoang, Jared H. Cole, Muhammad Usman
arXiv (2026)
Fully convolutional 3D neural network decoders for surface codes with syndrome circuit noise
Spiro Gicev, Lloyd Hollenberg, Muhammad Usman
(IOP) Quantum Science and Technology 11, 025048 (2026); arXiv
Quantum Jacobi-Davidson Method
Shaobo Zhang, Akib Karim, Harry Quiney, Muhammad Usman
arXiv (2026)
Time-dynamic circuits for fault-tolerant shift automorphisms in quantum LDPC codes
Younghun Kim, Spiro Gicev, Martin Sevior, Muhammad Usman
arXiv (2026)
Context-aware unit testing for quantum subroutines
Mykhailo Klymenko, Thong Hoang, Sam Wilkinson, Bahar Goldozian, Suyu Ma, Xiwei Xu, Qinghua Lu, Muhammad Usman, Liming Zhu
(IOP) Quantum Science and Technology 11, 025045, (2026); arXiv
QBugLM: An agentic benchmarking framework for LLM based quantum software debugging
An B.B. Pham*, Hoa T. Nguyen*, Muhammad Usman
*equal contribution authors
In proceedings of 5th IEEE International Conference on Quantum Software (QSW 2026) Sydney Australia; arXiv
Azadeh Alavi, Hamidreza Khalili, Stanley Chan, Fatemeh Kouchmeshki, Muhammad Usman, Ross Vlahos
Variational quantum machine learning with quantum error detection
Eromanga Adermann, Hajime Suzuki, Muhammad Usman
(Springer Nature) Quantum Machine Intelligence Vol.8, No. 1, (2026); arXiv
Adversarial robustness guarantees in quantum classifiers
Neil Dowling*, Maxwell T. West*, Angus Southwell, Azar C Nakhl, Martin Sevior, Muhammad Usman, Kavan Modi
(*equal contribution authors)
(Nature Portfolio) npj Quantum Information 12, 16 (2026); arXiv
Magic state injection on IBM quantum processors above the distillation threshold
Younghun Kim, Martin Sevior, Muhammad Usman
(Nature Portfolio) Scientific Reports 16, 11189, (2026); arXiv
Hoa T. Nguyen, Muhammad Usman, Rajkumar Buyya
(ACM) ACM Transactions on Quantum Computing (2026); arXiv
HamQASBench: A hamiltonian-informed diagnostic benchmark for evaluating quantum architecture search
Jiayang Niu, Akib Karim, Yan Wang, Jie Li, Ke Deng, Azadeh Alavi, Muhammad Usman, Yongli Ren
arXiv (2026)
GCAMPS: A scalable classical simulator for qudits
Ben Harper*, Azar C. Nakhl*, Thomas Quella, Martin Sevior, Muhammad Usman
(*equal contribution authors)
(ACM) SCA/HPCAsia '26: Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region, Japan (2026);
[36% Acceptance Rate] arXiv
DOI: https://doi.org/10.1145/3773656.3773689
Stabiliser tensor networks with magic state injection
Azar C. Nakhl*, Ben Harper*, Maxwell West, Neil Dowing, Martin Sevior, Thomas Quella, Muhammad Usman
(*equal contribution authors)
(APS) Physical Review Letters 134, 190602, (2025); arXiv
Almost fault-tolerant quantum machine learning with drastic overhead reduction
Haiyue Kang, Younghun Kim, Eromanga Adermann, Martin Sevior, Muhammad Usman
(IOP) Quantum Science and Technology 11, 015021 (2025); arXiv
Phys.org News: Quantum machine learning nears practicality as partial error correction reduces hardware demands
Hybrid action reinforcement learning for quantum architecture search
Jiayang Niu, Yan Wang, Jie Li, Ke Deng, Azadeh Alavi, Muhammad Usman, Yongli Ren
arXiv (2025);
Quantum transport computing with a perspective for Olympics and Paralympics 2032
Amena Khatun*, Harish Vallury*, Maryam Rajabi*, Daniel Clarke, Matthew Burke, Bo Do, Nagesh Shukla, Muhammad Usman
(*equal contribution authors)
preprint link (2025); 10.36227/techrxiv.176159797.75011425/v1
Zeheng Wang, Fangzhou Wang, Liang Li, Zirui Wang, Timothy van der Laan, Ross C. C. Leon, Jing-Kai Huang, Muhammad Usman
(Wiley) Advanced Science 12, e06213, (2025); arXiv
COSMOS Magazine: Quantum AI used in world-first semiconductor fabrication
Cover Image: Vol. 12, Issue 35, https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.71646
Quantum kernel principal components analysis for compact readout of chemiresistive sensor arrays
Zeheng Wang, Tim van der Laan, Muhammad Usman
(Wiley) Advanced Science 12, 2411573, (2025); arXiv
Media Release: CSIRO shows practical application for quantum machine learning
COSMOS Magazine: Powerful results from joining quantum computing and AI
Cover Image: Vol. 12, Issue 15, https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.202570102
QUT: A unit testing framework for quantum subroutines
Mike Klymenko, Thong Hoang, Hoa Nguyen, Sam Wilkinson, Bahar Goldozian, Xing Zhenchang, Qinghua Lu, Muhammad Usman, Liming Zhu
arXiv (2025);
Preparing high-fidelity magic states on IBM quantum processors
Younghun Kim, Martin Sevior, Muhammad Usman
In proceedings of 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), Albuquerque NM USA, 30 August – September 05, 2025.
DOI Reference: https://doi.org/10.1109/QCE65121.2025.10406
Detrimental non-Markovian errors for surface code memory
John F Kam, Spiro Gicev, Kavan Modi, Angus Southwell, Muhammad Usman
(IOP) Quantum Science and Technology 10, 035060 (2025); arXiv
Classical autoencoder distillation of quantum adversarial manipulations
Amena Khatun, Muhammad Usman
(APS) Physical Review Research (Letter) 7, L042054 (2025); arXiv
Haolin Huang, Liam Thomas, Muhammad Usman, Rajin Rahman, David Jamieson
(Wiley) Advanced Quantum Technologies 9(1), e00675, (2025)
Cover Feature: https://advanced.onlinelibrary.wiley.com/doi/10.1002/qute.70208?utm_medium=article&utm_source=researchgate.net
Symmetry-checking in band structure calculations on a noisy quantum computer
Shaobo Zhang, Akib Karim, Harry Quiney, Muhammad Usman
(APS) Physical Review Applied 24, 064073 (2025); arXiv
Topological signal processing on quantum computers for higher-order network analysis
Caesnan Leditto, Angus Southgate, Behnam Tonekaboni, Gregory White, Muhammad Usman, Kavan Modi
(APS) Physical Review Applied 23, 054054, (2025); arXiv
Quantum HodgeRank: Topology-based rank aggregation on quantum computers
Caesnan Leditto, Angus Southgate, Behnam Tonekaboni, Muhammad Usman, Kavan Modi
(APS) Physical Review Applied (Letter) 23, L061005 (2025); arXiv
Quantum generative learning for high-resolution medical image generation
Amena Khatun, Kubra Yeter Aydeniz, Yaakov S. Weinstein, Muhammad Usman
(IOP) Machine Learning: Science and Technology, 6, 025032, (2025); arXiv
Noise-aware and fast variational quantum eigensolver optimiser by machine learning
Akib Karim, Shaobo Zhang, Muhammad Usman
arXiv (2025);
Transversal CNOT gate with multi-cycle error correction
Younghun Kim, Martin Sevior, Muhammad Usman
(APS) Physical Review Applied 23, 024074, (2025); arXiv
A graph-theoretic approach to chaos and complexity in quantum systems
Maxwell West, Neil Dowling, Angus Southwell, Martin Sevior, Muhammad Usman, Kavan Modi, Thomas Quella
SciPost Physics Core 8, 081 (2025); arXiv
Crosstalk attacks and defence in a shared quantum computing environment
Benjamin Harper, Behnam Tonekaboni, Bahar Goldozian, Martin Sevior, Muhammad Usman
(Wiley) Advanced Quantum Technologies, Vol. 8, Issue 10, e2500009 (2025); arXiv
Time-adaptive single-shot crosstalk detector on superconducting quantum processor
Haiyue Kang, Ben Harper, Muhammad Usman, Martin Sevior
(APS) Physical Review Applied 24, 024034, (2025); arXiv
Amena Khatun, Muhammad Usman
(Wiley) Advanced Quantum Technologies 8, 2400268, (2025); arXiv
Nanowire design by deep learning for energy efficient photonic devices
Muhammad Usman
(IOP) Nano Futures 9, 022502, (2025); arXiv
Towards machine learning assisted discovery of organic topological materials
Muhammad Usman
(IOP) Nano Futures 9, 042503 (2025); arXiv DOI: https://iopscience.iop.org/article/10.1088/2399-1984/ae19b1
Architectural patterns for designing quantum artificial intelligence systems
Mykhailo Klymenko, Thong Hoang, Sherry Xu, Zhenchang Xing, Muhammad Usman, Qinghua Lu, Liming Zhu
(Elsevier) Journal of Systems & Software 227, 112456, (2025); arXiv
Quantum computer error structure probed by quantum error correction syndrome measurements
Spiro Gicev, Lloyd C.L. Hollenberg, Muhammad Usman
(APS) Physical Review Research 6, 043249, (2024); arXiv
Artificial neural network syndrome decoding on IBM Quantum Processors
Brhyeton Hall, Spiro Gicev, Muhammad Usman
(APS) Phys. Rev. Research Letter 6, L032004 (2024); arXiv
Phys.org: Artificial Intelligence could help make quantum computers a reality
Provably trainable rotationally equivariant quantum machine learning
Maxwell T. West, Jamie Heredge, Martin Sevior, Muhammad Usman
(APS) PRX Quantum 5, 030320, (2024); arXiv
Quantum cloud computing: a review, open problems and future directions
Hoa T. Nguyen, Prabhakar Krishnan, Dilip Krishnaswamy, Muhammad Usman, Rajkumar Buyya
arXiv (2024);
Zeheng Wang, Liang Li, Ross Leon, Jinlin Yang, Junjie Shi, Timothy Laan, Muhammad Usman
IEEE Transaction on Electron Devices 71, 263 (2024); arXiv
Full band structure calculation of semiconductor materials on a noisy quantum processor
Shaobo Zhang, Akib Karim, Harry Quiney, Muhammad Usman
(APS) Physical Review A 110, 062415, (2024); arXiv
Low depth virtual distillation of quantum circuits by deterministic circuit decomposition
Akib Karim, Shaobo Zhang, Muhammad Usman
(APS) Phys. Rev. Research 6, 033223 (2024); arXiv
DRLQ: A deep reinforcement learning-based task placement for quantum cloud computing
Hoa T. Nguyen, Muhammad Usman, Rajkumar Buyya
in proceedings of IEEE Cloud (2024); arXiv
QSimPy: A learning-centric simulation framework for quantum cloud resource management
Hoa T. Nguyen, Muhammad Usman, Rajkumar Buyya
IEEE Quantum Week (2024); arXiv
iQuantum: A toolkit for modeling and simulation of quantum computing environments
Hoa T. Nguyen, Muhammad Usman, Rajkumar Buyya
(Wiley) Software: Practice and Experience 54, 1141-1171, (2024);
Blue and green-mode energy-efficient chemiresistive sensor array realized by rapid ensemble learning
Zeheng Wang, James Cooper, Muhammad Usman, Timothy van der Laan
ACS Applied Nano Materials 7, 21, 24437-24446, (2024); arXiv
QFaaS: a serverless function-as-a-service framework for quantum computing
Hoa T. Nguyen, Muhammad Usman, Rajkumar Buyya
(Elsevier) Future Generation Computer Systems 154, 281-300, (2024); arXiv
Radio signal classification by adversarially robust quantum machine learning
Yanqiu Wu, Eromanga Adermann, Chandra Thappa, Seyit Camtepe, Hajime Suzuki, Muhammad Usman
Calibrating the role of entanglement in variational quantum circuits
Azar C. Nakhl, Thomas Quella, Muhammad Usman
Physical Review A, 109, 032413, (2024); arXiv
Clustering by contour coreset and variational quantum eigensolver
Canaan Yung, Muhammad Usman
(Wiley) Advanced Quantum Technologies 7, 2300450, 2024; arXiv
Maxwell T. West, Azar C. Nakhl, Jamie Heredge, Floyd M. Creevey, Lloyd C.L. Hollenberg, Martin Sevior, Muhammad Usman
(Science Partner Journal) Intelligent Computing 3, 0100, (2024); arXiv
New Quantum Encoding Methods Slash Circuit Complexity in Machine Learning
Towards quantum-enhanced adversarial robustness in machine learning
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, 581-589, (2023); arXiv
The Conversation Article Summary Here
CSIRO Media Hub Blog Post Here
A fast and scalable artificial neural network syndrome decoder for surface codes
Spiro Gicev, Lloyd Hollenberg, Muhammad Usman
Quantum 7, 1058, (2023); arXiv
Benchmarking adversarially robust quantum machine learning at scale
Maxwell T. West, Sarah M. Erfani, Christopher Leckie, Martin Sevior, Lloyd C.L. Hollenberg, Muhammad Usman
(APS) Physical Review Research 5, 023186, (2023); arXiv
Maxwell T. West, Martin Sevior, Muhammad Usman
(Wiley) Advanced Quantum Technologies 6, 2300130 (2023); arXiv
Reflection equivariant quantum neural networks for enhanced image classification
Maxwell T. West, Martin Sevior, Muhammad Usman
(IOP) Machine Learning: Science and Technology 4, 035027, (2023); arXiv
Automated quantum circuit design with nested monte carlo tree search
Peiyong Wang, Muhammad Usman, Lloyd C.L. Hollenberg, Casey Myers
IEEE Transactions on Quantum Engineering 4, 3100620, (2023); arXiv
Real-time decoding for fault-tolerant quantum computing: progress, challenges and outlook
F. Battistel, C. Chamberland, K. Johar, R.W.J. Overwater, F. Sebastiano, L. Skoric, Y. Ueno, M. Usman
(IOP) Nano Futures 7, 032003, (2023); arXiv
Quantum computing: A taxonomy, systematic review and future directions
SS Gill, A Kumar, H Singh, M Singh, K Kaur, M Usman, R Buyya
(Wiley) Software: Practice and Experience 52 (1), 66-114, (2023); arXiv
Highly Cited and Read Paper of the Year 2023: https://onlinelibrary.wiley.com/journal/1097024x?tabActivePane=undefined
Hybrid quantum-classical generative adversarial network for high resolution image generation
Shu Lok Tsang, Maxwell T. West, Sarah M. Erfani, Muhammad Usman
IEEE Transactions on Quantum Engineering, Vol. 4, Article No. 3102419, (2023); arXiv
iQuantum: A case for modeling and simulation of quantum computing enviornments
Hoa T. Nguyen, Muhammad Usman, Rajkumar Buyya
in proceedings of 2nd IEEE International Conference on Quantum Software (2023); arXiv
Direct observation of narrow electronic energy band formation in 2D molecular self-assembly
Jack Hellerstedt, Marine Castelli, Anton Tadich, ..., Muhammad Usman, Agustin Schiffrin
Nanoscale Advances 4, 3845, (2022); DOI
Shaobo Zhang, Charles D. Hill, Muhammad Usman
Performance analysis of coreset selection for quantum implementation of K-Means clustering problem
Fanzhe Qu, Sarah M. Erfani, Muhammad Usman
Framework for donor qubit spatial metrology in silicon with depths approaching the bulk limit
Maxwell T. West, Muhammad Usman
Physical Review Applied 17, 024070, (2022);
A silicon qubit platform for in situ single molecule structure determination
Viktor S. Perunicic, Muhammad Usman, Charles D. Hill, Lloyd C.L. Hollenberg
An exchange-based surface-code quantum computer in silicon
Charles D. Hill, Muhammad Usman, Lloyd C.L. Hollenberg
Valley population of donor states in highly strained silicon
Benoit Voisin, Kevin Ng, Joe Salfi, Muhammad Usman, C. Wong, ..., Lloyd C.L. Hollenberg, Sven Rogge
IOP Materials for Quantum Technology 2, 025002, (2022); arXiv
Influence of momentum space features on scanning tunnelling microscope measurements
Maxwell T. West, Muhammad Usman
Nanoscale (communications) 13, 16070, (2021); arXiv
Long-range surface-assisted molecule-molecule hybridisation
Marina Castelli, Jack Hellerstedt, Cornelius Krull, Spiro Gicev, Lloyd Hollenberg, Muhammad Usman, Agustin Schiffrin
Small 17, 2005974, (2021); arXiv
FLEET Press Release Article: Harnessing Socially-Distant Molecular-Interactions for Future Computing
Recent progress in atomistic modelling and simulations of donor spin qubits in silicon
Muhammad Usman
(2020 Rising Stars, Elsevier) Computational Materials Science, 193, 110280, (2021)
Bismuth-containing GaAs core-shell nanowires
Muhammad Usman
In proceedings of 2021 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD), 2021 (DOI)
Muhammad Usman
Nanoscale, 12, 20973, (2020); arXiv
Pursuit Article: The Nanowires Building Greener Nanodevices
Epitaxial growth of SiC on (100) Diamond
A. Tsai, A. Aghajamali, N. Dontschuk, B.C. Johnson, M. Usman, ..., L. Hollenberg, J.C. McCallum, S. Rubanov, A. Tadich, N.A. Marks, A. Stacey
ACS Applied Electronic Materials 2, 2003, (2020); arXiv
Highlighted with Journal Cover Page: Volume 2, Issue 7, July 28, 2020
Valley interference and spin exchange at the atomic scale in silicon
Benoit Voisin+, Juanita Bocquel+, Archana Tankasala+, Muhammad Usman+, Joe Salfi, Rajib Rahman, Michelle Y. Simmons, Lloyd Hollenberg, Sven Rogge
(+These authors contributed equally)
Nature Communications 11, 6124 (2020); arXiv
Press release: Researchers map electrons to move one step closer to better quantum computers
Muhammad Usman, (2020); arXiv
Framework for atomic-level characterisation of quantum computer arrays by machine learning
Muhammad Usman, Yi Z. Wong, Charles D. Hill, Lloyd C.L. Hollenberg,
(NPJ) Computational Materials 6, 19, (2020); arXiv
Pursuit Article: Machine learning to scale up the quantum computer
Phys.org: https://phys.org/news/2020-03-machine-scale-quantum.html
Futurity.org: https://www.futurity.org/quantum-computers-machine-learning-2309802/
Engineers Australia: https://www.createdigitalmagazine.org.au/machine-learning-qubits/
Australian Online News: https://australianonlinenews.com.au/2020/03/16/machine-learning-to-scale-up-the-quantum-computer-pursuit/
Muhammad Usman,
(RSC) Nanoscale, 11, 20133 (2019); arXiv
Atomistic tight binding study of quantum confined Stark effect in GaBiAs/GaAs quantum wells
Muhammad Usman
(IOP) J. Phys.:Condens. Matter. 31, 415503, (2019); arXiv
Saad M. Alqahtani, Muhammad Usman, Shaikh S. Ahmed
Special Topic on Highly Mismatched Semiconductors Alloys: from Atoms to Devices. (AIP) J. of Applied Physics 125, 235704, (2019)
Muhammad Usman, Hans Huebl, Andre Stegner, Charles D Hill, Martin S Brandt, Lloyd C.L. Hollenberg
(APS) Physical Review B 98, 035432, (2018); arXiv
Impact of disorder on the optoelectronic properties of GaBiNAs alloys and heterostructures
Muhammad Usman, Christopher A. Broderick, and Eoin P. O'Reilly
(APS) Physical Review Applied 10, 044024, (2018); arXiv
Muhammad Usman
(APS) Physical Review Materials 2, 044602, (2018); arXiv
Valley filtering and spatial maps of coupling between silicon donors and quantum dots
Joe Salfi, Benoit Voisin, Archana Tankasala, Juanita Bocquel, Muhammad Usman, Michelle Y. Simmons, Lloyd C.L. Hollenberg, Rajib Rahman, Sven Rogge
(APS) Physical Review X, 8, 031049, (2018); arXiv
Two-electron states of a group V donor in silicon from atomistic full configuration interaction
Archana Tankasala, Joe Salfi, Juanita Bocquel, Benoit Voisin, Muhammad Usman, Gerhard Klimeck, Michelle Y. Simmons, Lloyd C.L. Hollenberg, Sven Rogge, Rajib Rahman
(APS) Physical Review B, 97, 195301, (2018); arXiv
Muhammad Usman, Benoit Voisin, Joe Salfi, Sven Rogge, Lloyd C.L. Hollenberg
(RSC) Nanoscale 9, 17013, (2017); arXiv
Spatial metrology of dopants in silicon with exact lattice site precision
Muhammad Usman, Juanita Bocquel, Joe Salfi, Benoit Voisin, Archana Tankasala, Rajib Rahman, Michelle Y. Simmons, Sven Rogge, Lloyd C.L. Hollenberg
Nature Nanotechnology 11, 763-768, (2016); arXiv [Highlighted by editor in TOC of Nature Nanotechnology September 2016 Issue]
Related news articles at Phys.org, Futurism, ScienceDaily, EurekAlert!, Bharattimes, newswise, nano, University of Melbourne Newsroom, UNSW News, Scimex, Technology, Opli
Muhammad Usman
(RSC) Nanoscale 7, 16516, (2015); arXiv
Strain and electric field control of hyperfine interactions for donor spin qubits in silicon
Muhammad Usman, Charles D. Hill, Rajib Rahman, Gerhard Klimeck, Michelle Y. Simmons, Sven Rogge, Lloyd C.L. Hollenberg
(APS) Physical Review B 91, 245209, (2015); arXiv
Donor hyperfine Stark shift and the role of central-cell correction in tight-binding theory
Muhammad Usman, Rajib Rahman, Joe Salfi, Juanita Bocquel, Benoit Voisin, Sven Rogge, Gerhard Klimeck, Lloyd C.L. Hollenberg
INVITED Special Issue Article: (IOP) Journal of Physics: Condensed-Matter, 27, 154207, (2015); arXiv
Link to the special issue (Single Dopants in Semiconductors) is here
Shaikh S. Ahmed, Sasi Sundaresan, Hoon Ryu, Muhammad Usman
(Springer) Journal of Computational Electronics, Vol. 14, Issue 2, pp 543-556, (2015);
S. Ahmed, N. Kharche, R. Rahman, M. Usman, S. Lee, H. Ryu, H. Bae, ..., F. Saied, M. Korkusinski, R. Kennel, M. McLennan, T. Boykin, and G. Klimeck
(Springer Berlin Heidelberg) Encyclopedia of Complexity and Systems Science, pp. 1-69, (2015). [DOI: 10.1007/978-3-642-27737-5_343-2]
Electronic and optical properties of [110]-tilted InAs/GaAs quantum dot stacks
Muhammad Usman
Rapid Communications: (APS) Physical Review B, 89, 081302(R), (2014); arXiv
Vittorianna Tasco*, Muhammad Usman*, Milena De Giorgi, Adriana Passaseo - (*Authors with equal contributions)
(IOP) Nanotechnology, 25, 055207, (2014); arXiv
Anisotropic electron g-factor as a probe of the electronic structure of GaBiAs/GaAs epilayers
Christopher A. Broderick, Simone Mazzucato, Helene Carrere,Thierry Amand, ..., Muhammad Usman, Eoin P. O'Reilly, Xavier Marie
(APS) Physical Review B 90, 195301, (2014); arXiv
Muhammad Usman and Eoin P. O'Reilly
(AIP) Applied Physics Letters, 104, 071103, (2014); arXiv
Electrically Injected GaAsBi Quantum Well Lasers
SJ Sweeney, IP Marko, SR Jin, K Hild, Z Batool, P Ludewig, ..., M Usman, PE Harnedy, EP OReilly, R Butkute, V Pacebutas, A Geiutis, A Krotkus
in proceedings of 24th International Semiconductor Laser Conference (ISLC), September 2014, Melia Palas Atenea, Palma de Mallorca, Spain.
Impact of alloy disorder on the band structure of compressively strained GaBiAs
Muhammad Usman, Christopher A. Broderick, Zahida Batool, Konstanze Hild, Jeff Hosea, Stephen Sweeney, and Eoin P. O'Reilly
(APS) Physical Review B, 87, 115104, 2013; arXiv
Derivation of 12 and 14-band k.p Hamiltonians for dilute bismide and bismide-nitride semiconductors
Christopher A. Broderick, Muhammad Usman, and Eoin P. O'Reilly
(IOP) Semicond. Sci. Technol., 28, 125025, (2013); arXiv
12-band k.p model for dilute bismide alloys of (In)GaAs derived from supercell calculations
Christopher A. Broderick, Muhammad Usman, and Eoin P. O'Reilly
(INVITED PAPER @ E-MRS 2012)(Wiley) Physica Status Solidi (b) 250, 773-778, (2013); arXiv
Analysis of the influence of IJEEE on electrical engineering and electrical engineering education
Sadia Nawaz, Muhammad Usman, and Johannes Strobel
International Journal of Electrical Engineering Education (IJEEE), 50th Anniversary Special Issue, Vol. 50, No. 3, Pages: 316-340, 2013, Manchester University Press.
Band engineering in dilute nitride and bismide semiconductor Lasers
Christopher A. Broderick, Muhammad Usman, Stephen J. Sweeney, and Eoin P. O'Reilly
(INVITED REVIEW ARTICLE) (IOP) Semicond. Sci. Technol. 27, 094011 (2012); arXiv
Selected by IOP Editors as a highlighted research article of Year 2012: http://iopscience.iop.org/0268-1242/page/2012%20Highlights
Muhammad Usman, Vittorianna Tasco, Maria T. Todaro, Melina D. Giorgi, Eoin P. O'Reilly, Gerhard Klimeck, Adriana Passaseo
(IOP) Nanotechnology 23, 165202, (2012); arXiv
Selected by the editor to be spotlighted on nanotechweb.org website: Quantum dot model analyses the influence of intermixing and segregation effects on polarization properties
Spotlighted in lab/fab talk on compoundsemiconductor.net website: Multi-million atom simulations and polarisation measurements enable QD metrology
Muhammad Usman
(APS) Physical Review B 86, 155444, (2012); arXiv
Muhammad Usman, Christopher A. Broderick, Eoin P. O'Reilly
in proceedings of 31st International Conference on the Physics of Semiconductors (ICPS), July 29 - August 2012, ETH Zurich, Switzerland.
Understanding polarisation properties of InAs QDs by atomistic modeling of growth dynamics
Vittorianna Tasco, Muhammad Usman, Maria T. Todaro, M. De Giorgi, and Adriana Passaseo
in proceedings of 31st International Conference on the Physics of Semiconductors (ICPS), July 29 - August 2012, ETH Zurich, Switzerland.
Tight-binding analysis of the electronic structure of dilute bismide alloys of GaP and GaAs
Muhammad Usman, Christopher A. Broderick, Andrew Lindsay, and Eoin P. O'Reilly
(APS) Physical Review B 84, 245202 (2011); arXiv
Muhammad Usman, Tomoya Inoue, Yukihiro Harda, Gerhard Klimeck, and Takashi Kita
(APS) Physical Review B 84, 115321 (2011); arXiv
In-plane polarisation anisotropy of ground state optical intensity in InAs/GaAs quantum dots
Muhammad Usman
(AIP) Journal of Applied Physics 110, 094512, (2011)
Muhammad Usman, Susannah Heck, Edmund Clarke, Peter Spencer, Hoon Ryu, Ray Murray, Gerhard Klimeck
(AIP) J. of Applied Physics 109, 104510 (2011); arXiv
Muhammad Usman*, Yui H.M. Tan*, Hoon Ryu, Sheikh Ahmed, Hubert J. Krenner, Timothy B. Boykin, Gerhard Klimeck - (*Authors with equal contributions)
(IOP) Nanotechnology 22, 315709 (2011); arXiv
Highlighted on nanotechweb as Editor's chioce: Supercomputers model real-world quantum dot devices atom-by-atom
Tight Binding Analysis of the Electronic Structure of Dilute Bismide and Nitride Alloys of GaAs
Christopher A. Broderick, Muhammad Usman, Andrew Lindsay, and Eoin P. O'Reilly
in proceedings of 13th IEEE International Conference on Transparent Optical Networks (ICTON), June 26-30, (2011), KTH Stockholm, Sweden;
Moving Toward Nano-TCAD Through Multimillion-Atom Quantum-Dot Simulations Matching Experimental Data
Muhammad Usman, Hoon Ryu, Insoo Woo, David Ebert, Gerhard Klimeck
IEEE Transactions on Nanotechnology, 8, 330, (2009); arXiv
Atomistic Simulation of Realistically Sized Nanodevices Using NEMO 3-D Part II: Applications
Gerhard Klimeck, Sheikh Ahmed, Neerav Kharche, Marek Korkusinski, Muhammad Usman, Marta Parda, and Timothy Boykin
(INVITED ARTICLE) IEEE Transactions on Electron Devices, Vol. 54, No. 9, 2090-2099, (2007)
Atomistic Simulation of Non-Degeneracy and Optical Polarisation Anisotropy in Pyramidal Quantum Dots
Sheikh Ahmed, Muhammad Usman, Rajib Rahman, Andrei Schliwa, Gerhard Klimeck
in Technical Proceedings of IEEE Nano/Micro Engineered and Molecular Systems (NEMS) 2008
Muhammad Usman, Sheikh Ahmed, Gerhard Klimeck
in Technical Proceedings of IEEE Nanotechnology (NANO) 2008, Arlington TX
Quantum Confined Stark Effect in Biased InAs/GaAs Quantum Dots
Muhammad Usman, Hoon Ryu, Sunhee Lee, Yui M.H. Tan, and Gerhard Klimeck
in proceedings of 13th International Workshop on Computational Electronics (IWCE), Tsinghua University, Beijing, May 27-29 2009.
Strain-engineered self-organised InAs/GaAs quantum dots for long wavelength applications
Muhammad Usman, Dragica Vasileska, and Gerhard Klimeck
in proceedings of ICPS 2008 (International Conference on the Physics of Semiconductors), Rio de Janeiro, Brazil, July 27-Aug 1, 2008.
Shaikh Ahmed, Muhammad Usman, Clemens Heitzinger. Rajib Rahman, Andrei Schliwa, and Gerhard Klimeck
in proceedings of 28th International Conference on the Physics of Semiconductors, ICPS 2006, Vienna, Austria, July 24-28 2006, AIP Conference Proceedings Volume 893, pg 849.
Strain and electronic structure interactions in realistically scaled quantum dot stacks
Muhammad Usman, Shaikh Ahmed, Marek Korkusinski, Clemens Heitzinger, and Gerhard Klimeck
in proceedings of 28th International Conference on the Physics of Semiconductors, ICPS 2006, Vienna, Austria, July 24-28 2006, AIP Conference Proceedings Volume 893, pg. 847.
Performance analysis of adaptive source rate control (ASRC) algorithm for VoIP
Muhammad Usman and Noor M. Sheikh
in proceedings of IEEE TENCON 2005 conference Melbourne Australia, November 2005 Pages:1-7
Page updated
Google Sites
Report abuse