A quantum Hopfield associative memory implemented on an actual quantum processor
Abstract In this work, we present a Quantum Hopfield Associative Memory (QHAM) and demonstrate its capabilities in simulation and hardware using IBM Quantum Experience.. The QHAM is based on a quantum neuron design which can be utilized for many different machine learning applications and can be imp...
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Auteurs principaux: | Nathan Eli Miller, Saibal Mukhopadhyay |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
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Accès en ligne: | https://doaj.org/article/ccb7a068134b4afa8df8a3a851794bb7 |
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