QuPrep is an open-source Python library that enables researchers and developers to convert classical datasets into formats suitable for quantum computing. It serves as a preprocessing layer, streamlining the preparation of data for quantum algorithms and experiments.
QuPrep sits in PulseGate's Infrastructure & Backend category. It focuses on preparing classical datasets for use in quantum computing workflows. It is built as an open-source project for quantum computing researchers. QuPrep is open source under the Apache-2.0 license. It runs on the web and the command line, and it can be self-hosted.
QuPrep first shipped in 2026. Development happens publicly on GitHub with 122 commits in the last 90 days. Key capabilities include quantum data preprocessing, classical to quantum conversion, and python library.
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