Testing Multi-Subroutine Quantum Programs: From Unit Testing to Integration Testing
Quantum
This program is tentative and subject to change.
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 article 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.
This program is tentative and subject to change.
Fri 2 MayDisplayed time zone: Eastern Time (US & Canada) change
16:00 - 17:30 | |||
16:00 15mTalk | QuanTest: Entanglement-Guided Testing of Quantum Neural Network SystemsQuantum Journal-first Papers Jinjing Shi Central South University, Zimeng Xiao Central South University, Heyuan Shi Central South University, Yu Jiang Tsinghua University, Xuelong LI China Telecom | ||
16:15 15mTalk | Quantum Approximate Optimization Algorithm for Test Case OptimizationQuantum Journal-first Papers Xinyi Wang Simula Research Laboratory; University of Oslo, Shaukat Ali Simula Research Laboratory and Oslo Metropolitan University, Tao Yue Beihang University, Paolo Arcaini National Institute of Informatics
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16:30 15mTalk | Testing Multi-Subroutine Quantum Programs: From Unit Testing to Integration TestingQuantum Journal-first Papers Peixun Long Institute of High Energy Physics, Chinese Academy of Science, Jianjun Zhao Kyushu University | ||
16:45 15mTalk | Mitigating Noise in Quantum Software Testing Using Machine LearningQuantum Journal-first Papers Asmar Muqeet Simula Research Laboratory and University of Oslo, Tao Yue Beihang University, Shaukat Ali Simula Research Laboratory and Oslo Metropolitan University, Paolo Arcaini National Institute of Informatics
, Asmar Muqeet Simula Research Laboratory and University of Oslo | ||
17:00 15mTalk | Test Case Minimization with Quantum AnnealingQuantum Journal-first Papers Xinyi Wang Simula Research Laboratory; University of Oslo, Asmar Muqeet Simula Research Laboratory and University of Oslo, Tao Yue Beihang University, Shaukat Ali Simula Research Laboratory and Oslo Metropolitan University, Paolo Arcaini National Institute of Informatics
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17:15 7mTalk | When Quantum Meets Classical: Characterizing Hybrid Quantum-Classical Issues Discussed in Developer ForumsQuantum Research Track Jake Zappin William and Mary, Trevor Stalnaker William & Mary, Oscar Chaparro William & Mary, Denys Poshyvanyk William & Mary |