A large empirical study finds that the Inverse test, which reverses the expected circuit and checks for the all-zero state, detects quantum circuit mutations with fewer shots than statistical or Swap tests.
quAssert: Automatic Generation of Quantum Assertions
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abstract
Functional validation is necessary to detect any errors during quantum computation. There are promising avenues to debug quantum circuits using runtime assertions. However, the existing approaches rely on the expertise of the verification engineers to manually design and insert the assertions in suitable locations. In this paper, we propose automated generation and placement of quantum assertions based on static analysis and random sampling of quantum circuits. Specifically, this paper makes two important contributions. We automatically uncover special properties of a quantum circuit, such as purely classical states, superposition states, and entangled states using statistical methods. We also perform automated placement of quantum assertions to maximize the functional coverage as well as minimize the hardware overhead. We demonstrate the effectiveness of the generated assertions in error detection using a suite of quantum benchmarks, including Shor's factoring algorithm and Grover's search algorithm.
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On the Feasibility of Quantum Unit Testing
A large empirical study finds that the Inverse test, which reverses the expected circuit and checks for the all-zero state, detects quantum circuit mutations with fewer shots than statistical or Swap tests.