Distributed Shared Layered Storage Quantum Simulator: A novel quantum simulation system for efficient scaling and cost optimization
Mingyang Yu, Haorui Yang, Donglin Wang, Desheng Kong, Ji Du, Yulong Fu, Wei Wang, Jing Xu

TL;DR
This paper introduces DSLSQS, a distributed layered storage quantum simulator that significantly improves scalability and reduces costs, enabling efficient simulation of complex quantum algorithms on multiple nodes.
Contribution
The paper presents a novel distributed architecture with shared data storage and layered technology, overcoming bottlenecks and lowering costs in quantum simulation clusters.
Findings
Over 350% performance improvement compared to existing systems
Successful implementation of layered storage in a 27-qubit simulation
Identification of distributed networking as the main performance bottleneck
Abstract
Quantum simulators are essential tools for developing and testing quantum algorithms. However, the high-frequency traversal characteristic of quantum simulators represents an unprecedented demand in the history of IT, and existing distributed technologies is unable to meet this requirement, resulting in a single-node bottleneck of quantum simulator. To overcome this limitation, this paper introduces a novel Distributed Shared Layered Storage Quantum Simulator (DSLSQS). By leveraging an innovative distributed architecture in which multiple computational nodes share data storage directly, together with De-TCP/IP networking technology, DSLSQS effectively eliminates East-West data flow in distributed systems. This approach mitigates the bottleneck of distributed quantum simulation clusters and enhances the scalability. Moreover, the system employs layered storage technology, which reduces…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Cloud Computing and Resource Management · Quantum Information and Cryptography
