khan-machinelearningquantumvs-2020.pdf (2.2 MB)
Machine Learning: Quantum vs Classical
journal contribution
posted on 2020-01-01, 00:00 authored by Tariq Khan, Antonio Robles-KellyAntonio Robles-KellyEncouraged by growing computing power and algorithmic development, machine learning technologies have become powerful tools for a wide variety of application areas, spanning from agriculture to chemistry and natural language processing. The use of quantum systems to process classical data using machine learning algorithms has given rise to an emerging research area, i.e. quantum machine learning. Despite its origins in the processing of classical data, quantum machine learning also explores the use of quantum phenomena for learning systems, the use of quantum computers for learning on quantum data and how machine learning algorithms and software can be formulated and implemented on quantum computers. Quantum machine learning can have a transformational effect on computer science. It may speed up the processing of information well beyond the existing classical speeds. Recent work has seen the development of quantum algorithms that could serve as foundations for machine learning applications. Despite its great promise, there are still significant hardware and software challenges that need to be resolved before quantum machine learning becomes practical. In this paper, we present an overview of quantum machine learning in the light of classical approaches. Departing from foundational concepts of machine learning and quantum computing, we discuss various technical contributions, strengths and similarities of the research work in this domain. We also elaborate upon the recent progress of different quantum machine learning approaches, their complexity, and applications in various fields such as physics, chemistry and natural language processing.
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Journal
IEEE AccessVolume
8Pagination
219275 - 219294Publisher
IEEELocation
Piscataway, N.J.Publisher DOI
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eISSN
2169-3536Language
engPublication classification
C1 Refereed article in a scholarly journalUsage metrics
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quantum machine learningquantum computingquantum algorithmsQuBitScience & TechnologyTechnologyComputer Science, Information SystemsEngineering, Electrical & ElectronicTelecommunicationsComputer ScienceEngineeringComputersMachine learningMachine learning algorithmsTrainingTask analysisComputational modelingALGORITHMSSYSTEMS
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