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

Author:

Nguyen Hoa T.1ORCID,Usman Muhammad23ORCID,Buyya Rajkumar1ORCID

Affiliation:

1. The Cloud Computing and Distributed Systems (CLOUDS) Laboratory, School of Computing and Information Systems The University of Melbourne Parkville Victoria Australia

2. School of Physics The University of Melbourne Parkville Victoria Australia

3. Data61 CSIRO Clayton Victoria Australia

Abstract

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.

Publisher

Wiley

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum Cloud Computing;2024 IEEE 17th International Conference on Cloud Computing (CLOUD);2024-07-07

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