Qdislib is a Python library that makes it possible to efficiently simulate large quantum circuits by breaking them down into smaller parts that can be run independently on various hardware, including classical computers, GPUs, and quantum processors. It offers features like circuit decomposition, GPU acceleration, and support for different quantum programming frameworks, enabling researchers to tackle complex quantum algorithms despite current hardware limitations.
Contact:
Rosa M. Badia (rosa.m.badia@bsc.es)
License:
Apache License (Version 2.0)
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COMP Superscalar (COMPSs) is a framework which aims to ease the development and execution of parallel applications for distributed infrastructures, such as Clusters, Clouds and containerized platforms.
dislib is a distributed computing library highly focused on machine learning on top of PyCOMPSs. Inspired by NumPy and scikit-learn, dislib provides various supervised and unsupervised learning algorithms through an easy-to-use API.