Advanced libraries enable easy use of quantum infrastructure. Browse the repositories and take advantage of the tutorials.
QLauncher
QLauncher is a high-level Python library that simplifies the execution of quantum algorithms. It helps users execute, test, benchmark and optimize quantum algorithms.
Additionally, it offers tools that work in various hardware configurations.
Open QBench is a tool for testing the performance of quantum computers and hybrid processes (workflow optimization). It supports a variety of quantum platforms and software layers. The package also includes ready-made tests for practical device evaluation.
QAILab is a library that enables the integration of quantum neural networks with existing PyTorch models. It supports various quantum systems from vendors such as IBM, AQT, and Orca Computing. Connectivity to these devices is provided by integration with the QLauncher library.