2 citations · 2 across the 5 of their papers we have counts for
5 papers
QCOEM: Quantum Cloud Orchestration with Evolutionary Multi-Objective Optimization
Tam N. Pham, Hoa T. Nguyen, Quan Le-Trung
Quantum cloud platforms need to dynamically orchestrate workloads across heterogeneous quantum computation backends whose noise profiles, qubit topologies, and queues vary over tim…
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…
QSimPy: A Learning-centric Simulation Framework for Quantum Cloud Resource Management
Hoa T. Nguyen, Muhammad Usman, Rajkumar Buyya
Quantum cloud computing is an emerging computing paradigm that allows seamless access to quantum hardware as cloud-based services. However, effective use of quantum resources is ch…