Muhammad Usman

Orcid: 0000-0003-3476-2348

Affiliations:
  • University of Melbourne, Parkville, Victoria, Australia
  • Purdue University, West Lafayette, IN, USA (former)


According to our database1, Muhammad Usman authored at least 24 papers between 2009 and 2026.

Collaborative distances:

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Bibliography

2026
Variational quantum machine learning with quantum error detection.
Quantum Mach. Intell., June, 2026

GCAMPS: A Scalable Classical Simulator for Qudit Systems.
Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region, 2026

2025
QFOR: A Fidelity-aware Orchestrator for Quantum Computing Environments using Deep Reinforcement Learning.
CoRR, August, 2025

Quantum generative learning for high-resolution medical image generation.
Mach. Learn. Sci. Technol., 2025

Architectural patterns for designing quantum artificial intelligence systems.
J. Syst. Softw., 2025

Preparing High-Fidelity Magic States on IBM Quantum Processors.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

2024
iQuantum: A toolkit for modeling and simulation of quantum computing environments.
Softw. Pract. Exp., 2024

QFaaS: A Serverless Function-as-a-Service framework for Quantum computing.
Future Gener. Comput. Syst., 2024

Quantum Serverless Paradigm and Application Development using the QFaaS Framework.
CoRR, 2024

Adversarial Robustness Guarantees for Quantum Classifiers.
CoRR, 2024

QSimPy: A Learning-centric Simulation Framework for Quantum Cloud Resource Management.
CoRR, 2024

Quantum Cloud Computing: A Review, Open Problems, and Future Directions.
CoRR, 2024

DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum Cloud Computing.
Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023
Reflection equivariant quantum neural networks for enhanced image classification.
Mach. Learn. Sci. Technol., September, 2023

A scalable and fast artificial neural network syndrome decoder for surface codes.
Quantum, July, 2023

Towards quantum enhanced adversarial robustness in machine learning.
Nat. Mac. Intell., June, 2023

Radio Signal Classification by Adversarially Robust Quantum Machine Learning.
CoRR, 2023

iQuantum: A Case for Modeling and Simulation of Quantum Computing Environments.
Proceedings of the IEEE International Conference on Quantum Software, 2023

2022
Quantum computing: A taxonomy, systematic review and future directions.
Softw. Pract. Exp., 2022

Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation.
CoRR, 2022

Benchmarking Adversarially Robust Quantum Machine Learning at Scale.
CoRR, 2022

Automated Quantum Circuit Design with Nested Monte Carlo Tree Search.
CoRR, 2022

Performance analysis of coreset selection for quantum implementation of K-Means clustering algorithm.
CoRR, 2022

2009


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