@article{18291,
  author = {Asmar Muqeet and Shaukat Ali and Paolo Arcaini},
  title = {QUIET: A Tool for Sampling-Based Quantum Noise Error Mitigation},
  abstract = {The development of reliable quantum software is one of the key challenges in today{\textquoteright}s quantum computing landscape, largely due to the presence of quantum noise. Quantum noise poses a significant obstacle in fully realizing the potential of quantum computing. While existing quantum error mitigation (QEM) techniques mainly focus 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{\textquoteright}s and Grover{\textquoteright}s. In this paper, 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 post-processing tool and is compatible with various quantum computers and quantum software execution frameworks.},
  year = {2025},
  journal = {IEEE Software},
  volume = {01},
  publisher = {IEEE},
  address = {IEEE Software},
  url = {https://doi.ieeecomputersociety.org/10.1109/MS.2025.3532106},
}