Quantum Artificial Intelligence Predictions Enhancement by Improving Signal Processing

Riaz, Farina ORCID: https://orcid.org/0000-0001-9223-7117 and Abdulla, Shahab ORCID: https://orcid.org/0000-0002-1193-6969 and Ni, Wei and Radfar, Mohsen and Deo, Ravinesh ORCID: https://orcid.org/0000-0002-2290-6749 and Hopkins, Susan ORCID: https://orcid.org/0000-0003-1781-2382 (2022) Quantum Artificial Intelligence Predictions Enhancement by Improving Signal Processing. In: Quantum Australia Conference 2022, 23 Feb - 25 Feb 2022.

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Abstract

Quantum computers have a great potential to change the future of Artificial Intelligence (AI). Although classical supercomputers have powerful processing systems and are efficient for AI applications, the processing speed limit in existing computer systems is still a challenge. Quantum computers (QC) are inspired from nature, that exhibits quantum phenomena of the Superposition and Entanglement. Algorithms designed for QC like Shor’s and Groover have achieved polynomial speed over classical computers. This has attracted many researchers worldwide to investigate the problem and to design more robust algorithms for QC, that are challenge for classical computer. Intelligent Transportation System (ITS) has recently attracted many researchers, to develop fast smart vehicles and smart traffic systems. Reliable, accurate and timely prediction is a major goal of any AI application like traffic flow prediction and delay in predictions can cause unfavourable results. QCs have potential to process huge amount of data for timely prediction. AI deep learning algorithms e.g., Neural Networks (NN), can deal with the processing of complex image data and time series signals.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Poster)
Refereed: No
Item Status: Live Archive
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Mathematics, Physics and Computing (1 Jan 2022 -)
Faculty/School / Institute/Centre: Current - USQ College (8 Jun 2020 -)
Date Deposited: 16 May 2022 05:17
Last Modified: 12 Oct 2022 01:37
Uncontrolled Keywords: Quantum computing, Quantum Artificial Intelligence, Signal Processing
Fields of Research (2020): 51 PHYSICAL SCIENCES > 5108 Quantum physics > 510805 Quantum technologies
46 INFORMATION AND COMPUTING SCIENCES > 4611 Machine learning > 461103 Deep learning
Identification Number or DOI: doi:10.13140/RG.2.2.34754.66245
URI: http://eprints.usq.edu.au/id/eprint/48477

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