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- W2904403912 abstract "In this work, we examine a recently proposed distance-based classification method designed for near-term quantum processing units with limited resources. We study possibilities to reduce the quantum resources without any efficiency decrease. We show that only a part of the information undergoes coherent evolution and this fact allows us to introduce an algorithm with significantly reduced quantum system size requirements. Additionally, considering only partial information at a time, we propose a classification protocol with information distributed among a number of agents. Finally, we show that the information evolution during a measurement can lead to a better solution and that the accuracy of the algorithm can be improved by harnessing the state after the final measurement." @default.
- W2904403912 created "2018-12-22" @default.
- W2904403912 creator A5003017876 @default.
- W2904403912 date "2018-12-01" @default.
- W2904403912 modified "2023-10-16" @default.
- W2904403912 title "Quantum distance-based classifier with distributed knowledge and state recycling" @default.
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- W2904403912 doi "https://doi.org/10.1142/s0219749918400130" @default.
- W2904403912 hasPublicationYear "2018" @default.
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