Currently, we are in the NISQ era, where intermediate-sized quantum systems are available, although affected by errors induced by quantum noise that cannot be despised. In this context, quantum emulators offer controlled and reproducible environments to investigate and mitigate these errors associated with quantum noise.
Moreover, they allow for the testing of quantum algorithms before their implementation on real QPUs, thereby avoiding long queues and high costs, thus accelerating the development and optimization of computational resources in the NISQ era. Qaptiva, a quantum emulator offered by Eviden, provides a platform where quantum noise can be modeled thanks to its specific libraries for this application. These libraries include various noise models and offer the possibility of implementing two simulation methods: deterministic and stochastic. By evaluating fidelity and execution time metrics, our goal is to provide information on the performance of Qaptiva as an effective tool for studying quantum noise, comparing its results with those obtained on a real QPU.
