4 papers
QBugLM: An Agentic Benchmarking Framework for LLM-based Quantum Software Debugging
An B. B. Pham, Hoa T. Nguyen, Muhammad Usman
Quantum software bugs often yield silent, incorrect outputs rather than explicit errors, making them particularly difficult to detect and repair with conventional techniques. Altho…
QFOR: A Fidelity-aware Orchestrator for Quantum Computing Environments using Deep Reinforcement Learning
Hoa T. Nguyen, Muhammad Usman, Rajkumar Buyya
Quantum cloud computing enables remote access to quantum processors, yet the heterogeneity and noise of available quantum hardware create significant challenges for efficient resou…
Quantum Serverless Paradigm and Application Development using the QFaaS Framework
Hoa T. Nguyen, Bui Binh An Pham, Muhammad Usman +1
Quantum computing has the potential to solve complex problems beyond the capabilities of classical computers. However, its practical use is currently limited due to early-stage qua…
DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum Cloud Computing
Hoa T. Nguyen, Muhammad Usman, Rajkumar Buyya
The quantum cloud computing paradigm presents unique challenges in task placement due to the dynamic and heterogeneous nature of quantum computation resources. Traditional heuristi…