An automated Probabilistic Error Correction package for near-term quantum computer

Although quantum computing technologies have advanced rapidly, noisy intermediate-scale quantum (NISQ) devices still suffer from gate imperfections, readout errors, and qubit cross-talk, which significantly limit computational accuracy. Probabilistic Error Cancellation (PEC) provides a practical quantum error mitigation (QEM) technique that compensates for noise by statistically inverting noisy operations. In this work, we develop an automated PEC package tailored for near-term quantum computers. The package integrates noise modeling, circuit generation, Pauli twirling, and weighted reconstruction into a streamlined workflow, allowing users to perform small-scale PEC simulations with minimal setup. It offers flexible configuration for different noise models and supports simulation of realistic noise scenarios, providing a convenient framework for studying and testing noise mitigation strategies.