Aug 2026· 2026 International Conference on Intelligent Multimedia, Networking, and Security (IMNS)· pp. 1-7· 0 citations· 22 references
Abstract
Quantum computing is rapidly moving toward cloud-native, High-Performance Computing (HPC) models. However, current job submission systems rely on sequential, exclusive-use execution, causing severe resource under-utilization and excessive user wait times. This paper introduces QUDA (Quantum Unified Device Architecture), a distributed orchestration platform designed to solve this bottleneck by decoupling the control and execution planes. QUDA employs a master-worker hierarchy in the form of the Joint Unified Gateway (JUG) for global control and distributed Quantum Processor Schedulers (QuPS) for hardware-aware execution. By abstracting hardware complexity and leveraging OpenQASM 3.0, QUDA enables backend-agnostic portability across heterogeneous systems. We evaluate QUDA using W-state probes and combinatorial optimization benchmarks, demonstrating significant gains in system-wide throughput and qubit utilization over direct submission models. QUDA provides a scalable foundation for modern, distributed quantum workloads.
This paper extends the validation of QRMI to a broad range of workload managers, including PBS, LSF, Grid Engine, Kubernetes, and the Flux Framework, encompassing traditional batch schedulers, a cloud-native orchestration platform, and a graph-based scheduler.
Thomas Badts, T. Boyle, Claudio Carvalho et al.· arXiv.org· 4 citations
In this work, we demonstrate hybrid High Performance Computing-Quantum Computing (HPCQC) workflows on a production petascale system. The demonstration combines three components: the SuperMUC-NG supercomputer at the Leibniz Supercomputing Centre (LRZ), a 20-qubit superconducting quantum processor provided by IQM Quantum...
Muhammad Nufail Farooqi, Minh Chung, B. Mete et al.· 0 citations
The Quantum Execution Locality Framework is introduced, a qualitative framework for characterizing hybrid quantum-classical workflows according to recurring dataflow structures and quantum execution locality, the extent to which computation remains resident on the Quantum Processing Unit (QPU) before host intervention...
Ryan Landfield, Jordan J. Winetrout, Michael A. Sandoval· 0 citations
Moving from quantum research and development to production-grade, fault-tolerant quantum workload execution remains one of the most significant challenges facing quantum platform builders. While Python frameworks have enabled an easy entry point for quantum algorithm design, the low-latency requirements for real-time q...
Joseph K. L. Lee, M. Malekmohammadi, Hong-Sheng Zheng et al.· 0 citations
SQUIRO is presented, a framework for security-aware quantum-classical scheduling based on a platform-independent Unified Scheduling Model (USM) and a six-step Scheduler Design Methodology (SDM) that together enable the derivation of concrete schedulers for Kubernetes, high-performance computing (HPC), and federated env...
The QCOEM framework can deliver stable, high-fidelity execution and lightweight resource management for quantum cloud computing and shows zero task rescheduling and about 30% higher mean fidelity than noise-agnostic heuristics, while maintaining bounded scheduling overhead.
Tam N. Pham, H. T. Nguyen, Quan Le-Trung· IEEE International Conferenc...· 0 citations
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