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- W3105060630 endingPage "033002" @default.
- W3105060630 startingPage "033002" @default.
- W3105060630 abstract "Quantum machine learning has emerged as an exciting and promising paradigm inside quantum technologies. It may permit, on the one hand, to carry out more efficient machine learning calculations by means of quantum devices, while, on the other hand, to employ machine learning techniques to better control quantum systems. Inside quantum machine learning, quantum reinforcement learning aims at developing intelligent quantum agents that may interact with the outer world and adapt to it, with the strategy of achieving some final goal. Another paradigm inside quantum machine learning is that of quantum autoencoders, which may allow one for employing fewer resources in a quantum device via a training process. Moreover, the field of quantum biomimetics aims at establishing analogies between biological and quantum systems, to look for previously inadvertent connections that may enable useful applications. Two recent examples are the concepts of quantum artificial life, as well as of quantum memristors. In this Perspective, we give an overview of these topics, describing the related research carried out by the scientific community." @default.
- W3105060630 created "2020-11-23" @default.
- W3105060630 creator A5088481632 @default.
- W3105060630 date "2020-07-23" @default.
- W3105060630 modified "2023-10-18" @default.
- W3105060630 title "Quantum machine learning and quantum biomimetics: A perspective" @default.
- W3105060630 cites W1479793620 @default.
- W3105060630 cites W1492999010 @default.
- W3105060630 cites W1553502100 @default.
- W3105060630 cites W1913271599 @default.
- W3105060630 cites W1974426585 @default.
- W3105060630 cites W1979392010 @default.
- W3105060630 cites W1988369744 @default.
- W3105060630 cites W1990514347 @default.
- W3105060630 cites W1994630055 @default.
- W3105060630 cites W1997488333 @default.
- W3105060630 cites W2002372750 @default.
- W3105060630 cites W2018258488 @default.
- W3105060630 cites W2019112050 @default.
- W3105060630 cites W2024860775 @default.
- W3105060630 cites W2049471987 @default.
- W3105060630 cites W2052929249 @default.
- W3105060630 cites W2103956991 @default.
- W3105060630 cites W2117941808 @default.
- W3105060630 cites W2145600675 @default.
- W3105060630 cites W2161999284 @default.
- W3105060630 cites W2188879252 @default.
- W3105060630 cites W2244690429 @default.
- W3105060630 cites W2257979135 @default.
- W3105060630 cites W2337082154 @default.
- W3105060630 cites W2403676394 @default.
- W3105060630 cites W2521267242 @default.
- W3105060630 cites W2559394418 @default.
- W3105060630 cites W2560386163 @default.
- W3105060630 cites W2579928628 @default.
- W3105060630 cites W2580674237 @default.
- W3105060630 cites W2593019179 @default.
- W3105060630 cites W2624637765 @default.
- W3105060630 cites W2725502959 @default.
- W3105060630 cites W2752623698 @default.
- W3105060630 cites W2752862743 @default.
- W3105060630 cites W2765646145 @default.
- W3105060630 cites W2766294686 @default.
- W3105060630 cites W2766447205 @default.
- W3105060630 cites W2770147582 @default.
- W3105060630 cites W2772549578 @default.
- W3105060630 cites W2781738013 @default.
- W3105060630 cites W2789409624 @default.
- W3105060630 cites W2792315573 @default.
- W3105060630 cites W2793072493 @default.
- W3105060630 cites W2883862648 @default.
- W3105060630 cites W2888720512 @default.
- W3105060630 cites W2900154994 @default.
- W3105060630 cites W2903712026 @default.
- W3105060630 cites W2919115771 @default.
- W3105060630 cites W2922635029 @default.
- W3105060630 cites W2923537029 @default.
- W3105060630 cites W2940425080 @default.
- W3105060630 cites W2949870462 @default.
- W3105060630 cites W2951205096 @default.
- W3105060630 cites W2952384119 @default.
- W3105060630 cites W2957950922 @default.
- W3105060630 cites W2965160863 @default.
- W3105060630 cites W3004668135 @default.
- W3105060630 cites W3004673568 @default.
- W3105060630 cites W3007573893 @default.
- W3105060630 cites W3011913491 @default.
- W3105060630 cites W3025584654 @default.
- W3105060630 cites W3037616923 @default.
- W3105060630 cites W3098768946 @default.
- W3105060630 cites W3098879530 @default.
- W3105060630 cites W3099857121 @default.
- W3105060630 cites W3100608836 @default.
- W3105060630 cites W3101119258 @default.
- W3105060630 cites W3101135395 @default.
- W3105060630 cites W3101549158 @default.
- W3105060630 cites W3101664568 @default.
- W3105060630 cites W3101804921 @default.
- W3105060630 cites W3102047485 @default.
- W3105060630 cites W3102180547 @default.
- W3105060630 cites W3102227919 @default.
- W3105060630 cites W3102355702 @default.
- W3105060630 cites W3103145727 @default.
- W3105060630 cites W3103574448 @default.
- W3105060630 cites W3103722330 @default.
- W3105060630 cites W3104481216 @default.
- W3105060630 cites W3104599990 @default.
- W3105060630 cites W3105640580 @default.
- W3105060630 cites W3105870134 @default.
- W3105060630 cites W3105894126 @default.
- W3105060630 cites W3106193592 @default.
- W3105060630 cites W3106339388 @default.
- W3105060630 cites W3121528815 @default.
- W3105060630 cites W3122467984 @default.
- W3105060630 cites W3125754212 @default.
- W3105060630 cites W3158206273 @default.
- W3105060630 cites W4211125927 @default.
- W3105060630 cites W4243099941 @default.