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#parameterizedquantumcircuits search results

jenseisert's profile picture. Scientist, professor of quantum physics at @FU_Berlin and affiliated with @HZBde and @FraunhoferHHI. @ERC_Research fellow.
Jens Eisert
@jenseisert
Feb 21

Quantum machine learning is arguably one of the most explored applications of near-term quantum devices. Much focus has been put on notions of variational #quantummachinelearning where #parameterizedquantumcircuits (PQCs) are used as learning models. These PQC models have a rich…

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jenseisert's profile picture. Scientist, professor of quantum physics at @FU_Berlin and affiliated with @HZBde and @FraunhoferHHI. @ERC_Research fellow.
Jens Eisert
@jenseisert
Feb 21

Quantum machine learning is arguably one of the most explored applications of near-term quantum devices. Much focus has been put on notions of variational #quantummachinelearning where #parameterizedquantumcircuits (PQCs) are used as learning models. These PQC models have a rich…

1
0
6
1
759
jenseisert's profile picture. Scientist, professor of quantum physics at @FU_Berlin and affiliated with @HZBde and @FraunhoferHHI. @ERC_Research fellow.
Jens Eisert
@jenseisert
Sep 22, 2023

Quantum machine learning is arguably one of the most explored applications of near-term quantum devices. Much focus has been put on notions of #variational quantum machine learning where #parameterizedquantumcircuits (PQCs) are used as learning models.

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