Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/3416
Title: | Headway in Quantum domain for Machine learning towards improved Artificial Intelligence |
Authors: | Mohanty, Jaganath Prasad Swain, Ayaskanta Mahapatra, Kamalakanta |
Keywords: | Quantum Computation Cognitive Quantum Security Artificial Intelligence Machine Learning, Quantum AI |
Issue Date: | Dec-2019 |
Citation: | IEEE-iSES 2019, NIT Rourkla,16-18dec 2019 |
Abstract: | A vital, transformative and impactful field on our society is levied on us by the incoming quantum computation and information technologies. The undergoing research on the interaction of fields of quantum computation with the machine learning and artificial intelligence is witnessing significant investigations. Evidently there has been a major demonstration of quantum enhancements in interactive learning tasks and the optimization of quantum experiments using Machine Learning sowing the seeds of interdisciplinary activities to improve their influence in our hugely populated data intensive digital world. The quantum mechanical world is evidently taking shapes beyond theoretical analysis with the aid of Artificial Intelligence previously uncharted. This composite review, to the best of our knowledge, makes an attempt to explore the recent headway for actuating AI and ML in the quantum domain. |
URI: | http://hdl.handle.net/2080/3416 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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IEEE-iSES2019_JP Mohanty _Headway in Quantum domain for Machine learning towards improved Artificial Intelligence .pdf | 305.92 kB | Adobe PDF | View/Open |
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