Simple Quantum Circuits for Data Classification
作者： Joanna Wiśniewska , Marek Sawerwain
DOI: 10.1007/978-3-030-41964-6_34
关键词:
摘要: The paper is dedicated to the problem of supervised learning in quantum circuits. We present two solutions: SWAP-test and Simple Quantum Circuits (SQCs) based on tree tensor networks which are able properly classify samples from Moons, Circles, Blobs Iris sets. Moreover, mentioned circuits were constructed not only for qubits, but also units information with higher freedom level. SWAP-test, prepared as a part this paper, works like qutrits ququads – so far solution has been discussed context qubits. procedure data preparation important further classification high success rate. It should be emphasized that shown effective pattern recognition spite low level their complexity.
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