Hybrid quantum edge computing network

Ma, Lei; Ding, Leah

doi:10.1117/12.2633020

Cited by 3 publications

(3 citation statements)

References 45 publications

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“…Currently, the vision of quantum computing at the edge layer 15,16 is just a theoretical concept, but it may become a reality in the near future as quantum devices become more popular. Nevertheless, our paper also illustrated a simple hybrid model of quantum cloud‐edge computing, where resources for quantum computing at the edge are more limited compared to cloud‐based quantum computers.…”

Section: Lesson Learned and Discussionmentioning

confidence: 99%

“…10 Major cloud providers, such as Microsoft Azure, 11 AWS, 12 and IBM, 13 now offer cloud-based access to their quantum computing services. Moreover, quantum computation resources are predicted to be extended to the edge network 14,15 when quantum hardware becomes popular in the future, envisioning the emergence of the hybrid paradigm of quantum cloud-edge continuum, 16 whose main components are illustrated in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

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iQuantum: A toolkit for modeling and simulation of quantum computing environments

Nguyen,

Usman,

Buyya

2024

Softw Pract Exp

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SummaryQuantum computing resources are predominantly accessible through cloud services, with a potential future shift to edge networks. This paradigm and the increasing global interest in quantum computing have amplified the need for efficient, adaptable resource management strategies and service models for quantum systems. However, many limitations in the quantum resources' quantity, quality, availability, and cost pose significant challenges for conducting research in practical environments. To address these challenges, we proposed iQuantum, a holistic and lightweight discrete‐event simulation toolkit uniquely tailored to model hybrid quantum computing environments. We also present a detailed system model for prototyping and problem formulation in quantum resource management. Through rigorous empirical validation and evaluations using large‐scale quantum workload datasets, we demonstrate the flexibility and applicability of our toolkit in various use cases. iQuantum provides a versatile environment for designing and evaluating quantum resource management policies such as quantum task scheduling, backend selection, hybrid task offloading, and orchestration in the quantum cloud‐edge continuum. Our work endeavors to create substantial contributions to quantum computing modeling and simulation, empowering the creation of future resource management strategies and quantum computing's broader applications.

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Section: Lesson Learned and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

iQuantum: A toolkit for modeling and simulation of quantum computing environments

Nguyen,

Usman,

Buyya

2024

Softw Pract Exp

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“…The realization of this complete paradigm depends on the advances in quantum hardware development and quantum error correction techniques. As recent years witnessed rapid growth and breakthrough in quantum hardware, we can begin to prepare the system prototype, software, and system algorithm for the near future of hybrid cloud-edge quantum computing [16].…”

Section: A Hybrid Quantum Computing and Qcaas Modelsmentioning

confidence: 99%

iQuantum: A Case for Modeling and Simulation of Quantum Computing Environments

Nguyen¹,

Usman²,

Buyya³

2023

Preprint

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Today's quantum computers are primarily accessible through the cloud and potentially shifting to the edge network in the future. With the rapid advancement and proliferation of quantum computing research worldwide, there has been a considerable increase in demand for using cloud-based quantum computation resources. This demand has highlighted the need for designing efficient and adaptable resource management strategies and service models for quantum computing. However, the limited quantity, quality, and accessibility of quantum resources pose significant challenges to practical research in quantum software and systems. To address these challenges, we propose iQuantum, a first-of-its-kind simulation toolkit that can model hybrid quantum-classical computing environments for prototyping and evaluating system design and scheduling algorithms. This paper presents the quantum computing system model, architectural design, proof-of-concept implementation, potential use cases, and future development of iQuantum. Our proposed iQuantum simulator is anticipated to boost research in quantum software and systems, particularly in the creation and evaluation of policies and algorithms for resource management, job scheduling, and hybrid quantum-classical task orchestration in quantum computing environments integrating edge and cloud resources.

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