SEFeb 11, 2022

Software Architecture for Quantum Computing Systems -- A Systematic Review

arXiv:2202.05505v499 citations
Originality Synthesis-oriented
AI Analysis

This review addresses the need for structured software architecture approaches in quantum computing, but it is incremental as it synthesizes existing knowledge rather than introducing new methods.

The paper conducted a systematic literature review to investigate architectural processes, modeling notations, design patterns, tool support, and challenges for quantum computing software, finding that existing methods can be adapted to develop quantum software architectures.

Quantum computing systems rely on the principles of quantum mechanics to perform a multitude of computationally challenging tasks more efficiently than their classical counterparts. The architecture of software-intensive systems can empower architects who can leverage architecture-centric processes, practices, description languages, etc., to model, develop, and evolve quantum computing software (quantum software for short) at higher abstraction levels. We conducted a systematic literature review (SLR) to investigate (i) architectural process, (ii) modeling notations, (iii) architecture design patterns, (iv) tool support, and (iv) challenging factors for quantum software architecture. Results of the SLR indicate that quantum software represents a new genre of software-intensive systems; however, existing processes and notations can be tailored to derive the architecting activities and develop modeling languages for quantum software. Quantum bits (Qubits) mapped to Quantum gates (Qugates) can be represented as architectural components and connectors that implement quantum software. Tool-chains can incorporate reusable knowledge and human roles (e.g., quantum domain engineers, quantum code developers) to automate and customize the architectural process. Results of this SLR can facilitate researchers and practitioners to develop new hypotheses to be tested, derive reference architectures, and leverage architecture-centric principles and practices to engineer emerging and next generations of quantum software.

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