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QuASK -- Quantum Advantage Seeker with Kernels. (arXiv:2206.15284v1 [quant-ph])
July 1, 2022, 1:10 a.m. | Francesco Di Marcantonio, Massimiliano Incudini, Davide Tezza, Michele Grossi
cs.LG updates on arXiv.org arxiv.org
QuASK is a quantum machine learning software written in Python that supports
researchers in designing, experimenting, and assessing different quantum and
classical kernels performance. This software is package agnostic and can be
integrated with all major quantum software packages (e.g. IBM Qiskit, Xanadu's
Pennylane, Amazon Braket). QuASK guides the user through a simple preprocessing
of input data, definition and calculation of quantum and classical kernels,
either custom or pre-defined ones. From this evaluation the package provides an
assessment about potential …
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