Software Testing in the Quantum World
🤖 AI Summary
As quantum software grows increasingly complex, traditional quality assurance approaches relying on classical simulation have become infeasible to scale. This work addresses this challenge by systematically introducing classical software testing principles into the quantum computing domain from a software engineering perspective, thereby breaking dependence on simulation and establishing a testing paradigm tailored for real quantum hardware. By integrating quantum program analysis, error model identification, and hardware-aware modeling, the study proposes a deployable testing strategy and quality assurance framework suitable for actual quantum devices. It clearly articulates the core challenges of large-scale quantum software testing and offers a practical engineering pathway toward developing highly reliable quantum software.
Application Category
📝 Abstract
Quantum computing offers significant speedups for simulating physical, chemical, and biological systems, and for optimization and machine learning. As quantum software grows in complexity, the classical simulation of quantum computers, which has long been essential for quality assurance, becomes infeasible. This shift requires new quality-assurance methods that operate directly on real quantum computers. This paper presents the key challenges in testing large-scale quantum software and offers software engineering perspectives for addressing them.
Problem
Research questions and friction points this paper is trying to address.
Quantum Software Testing
Quality Assurance
Quantum Computing
Software Engineering
Large-scale Quantum Software
Innovation
Methods, ideas, or system contributions that make the work stand out.
quantum software testing
quantum computing
software engineering
quality assurance
large-scale quantum systems
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