# On Testing Quantum Programs

arXiv: https://arxiv.org/abs/1812.09261 · HTML: https://mlsanity.com/paper/1812.09261/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Dec 2018.

## Built on by (most cited first, 3 of 3)

- [QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems](https://mlsanity.com/paper/2402.12950/) (2024)
- [QuanForge: A Mutation Testing Framework for Quantum Neural Networks](https://mlsanity.com/paper/2604.20706/) (2026)
- [QTestBench: A Test Framework for Evaluating LLM-Generated Quantum Code](https://mlsanity.com/paper/2610.13811/) (2026)

## Abstract (arXiv)

A quantum computer (QC) can solve many computational problems more efficiently than a classic one. The field of QCs is growing: companies (such as DWave, IBM, Google, and Microsoft) are building QC offerings. We position that software engineers should look into defining a set of software engineering practices that apply to QC's software. To start this process, we give examples of challenges associated with testing such software and sketch potential solutions to some of these challenges.