Tool: QUIET: A Tool for Sampling-Based Quantum Noise Error Mitigation
Asmar Muqeet, Shaukat Ali, Paolo Arcaini · IEEE Software · 2025
The development of reliable quantum software is one of the key challenges in today’s quantum computing landscape, due largely to the presence of quantum noise. Quantum noise poses a significant obstacle in fully realizing the potential of quantum computing. Although existing quantum error mitigation techniques focus mainly on correcting errors in expectation value-based outputs produced by quantum software, there are fewer solutions for mitigating errors in sampling-based outputs, which are essential for algorithms like Shor’s and Grover’s. In this article, we present QUIET, a tool that implements the state-of-the-art sampling-based error mitigation technique QLEAR to reduce noise in the sampling-based output of quantum software. QUIET operates as a postprocessing tool and is compatible with various quantum computers and quantum software execution frameworks.