Testing Multi-Subroutine Quantum Programs: From Unit Testing to Integration Testing

TL;DR

This paper explores testing strategies for multi-subroutine quantum programs, covering from unit to integration testing, and introduces novel principles and criteria to improve testing effectiveness in quantum software development.

Contribution

It presents a comprehensive testing framework for quantum programs, including new testing principles, criteria, and case studies, addressing unique quantum testing challenges.

Findings

Effective testing criteria improve quantum program reliability.

Case studies demonstrate practical applicability of proposed testing methods.

Analysis of failures offers insights into quantum testing effectiveness.

Abstract

Quantum computing has emerged as a promising field with the potential to revolutionize various domains by harnessing the principles of quantum mechanics. As quantum hardware and algorithms continue to advance, developing high-quality quantum software has become crucial. However, testing quantum programs poses unique challenges due to the distinctive characteristics of quantum systems and the complexity of multi-subroutine programs. This paper addresses the specific testing requirements of multi-subroutine quantum programs. We begin by investigating critical properties by surveying existing quantum libraries and providing insights into the challenges of testing these programs. Building upon this understanding, we focus on testing criteria and techniques based on the whole testing process perspective, spanning from unit testing to integration testing. We delve into various aspects, including IO analysis, quantum relation checking, structural testing, behavior testing, integration of subroutine pairs, and test case generation. We also introduce novel testing principles and criteria to guide the testing process. We conduct comprehensive testing on typical quantum subroutines, including diverse mutants and randomized inputs, to evaluate our proposed approach. The analysis of failures provides valuable insights into the effectiveness of our testing methodology. Additionally, we present case studies on representative multi-subroutine quantum programs, demonstrating the practical application and effectiveness of our proposed testing principles and criteria.