shotiq is an open-source Python framework that provides intelligent, dynamic shot allocation for quantum machine learning tasks. It helps researchers and developers optimize resource usage in quantum experiments, supporting structured data and CLI-based workflows. Licensed under Apache.
In the AI & ML space, shotiq takes a focused approach. It focuses on optimizing shot allocation in quantum machine learning experiments for improved efficiency. shotiq is an open-source project aimed at quantum machine learning researchers and developers. The project is open source (Apache Software License). The product ships for the web and the command line.
shotiq first shipped in 2026. Across PulseGate's embedding index, shotiq has few near neighbours, marking it as relatively distinct. Among its 4 catalogued features are dynamic shot allocation, Quantum ML support, and CLI interface.
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