Results 61 to 70 of about 8,042,432 (193)
Verifying Fairness in Quantum Machine Learning
, 2022 AbstractDue to the beyond-classical capability of quantum computing, quantum machine learning is applied independently or embedded in classical models for decision making, especially in the field of finance. Fairness and other ethical issues are often one of the main concerns in decision making.
Ji Guan 0001 +2 more
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Taking advantage of noise in quantum reservoir computing
Scientific Reports, 2023 The biggest challenge that quantum computing and quantum machine learning are currently facing is the presence of noise in quantum devices. As a result, big efforts have been put into correcting or mitigating the induced errors. But, can these two fields
L. Domingo, G. Carlo, F. Borondo
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Quantum computing and quantum machine learning classification – a survey
, 2022 The rapid development of machine learning technology leads to make the devices in the industries working autonomously. However, the growth of sensors in the industries leads to produce vast data that is utilized by machine learning algorithms to improve ...
Kuppusamy, P +3 more
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Machine Learning and Knowledge ExtractionQuantum computing, with its foundational principles of superposition and entanglement, has the potential to provide significant quantum advantages, addressing challenges that classical computing may struggle to overcome.
Maria Revythi, Georgia Koukiou
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On Quantum Methods for Machine Learning Problems Part II: Quantum Classification Algorithms
Big Data Mining and Analytics, 2020 This is a review of quantum methods for machine learning problems that consists of two parts. The first part, "quantum tools", presented some of the fundamentals and introduced several quantum tools based on known quantum search algorithms.
Farid Ablayev +5 more
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Preface -- Quantum Machine Learning
, 2020 Click on the DOI link to access the article (may not be free).Imparting intelligence to the machines has always been a challenging thoroughfare. Over the years, several intelligent tools have been invented or proposed to deal with the uncertainties ...
De, Sourav +5 more
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Machine learns quantum complexity
Journal of the Korean Physical Society18 pages, 8 figures, references ...
Bak, Dongsu +3 more
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QDataSet, quantum datasets for machine learning
Scientific Data, 2022 AbstractThe availability of large-scale datasets on which to train, benchmark and test algorithms has been central to the rapid development of machine learning as a discipline. Despite considerable advancements, the field of quantum machine learning has thus far lacked a set of comprehensive large-scale datasets upon which to benchmark the development ...
Elija Perrier +2 more
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A quantum-inspired classifier for clonogenic assay evaluations
Scientific Reports, 2021 Recent advances in Quantum Machine Learning (QML) have provided benefits to several computational processes, drastically reducing the time complexity.
Giuseppe Sergioli +7 more
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Clinical data classification with noisy intermediate scale quantum computers
Scientific Reports, 2022 Quantum machine learning has experienced significant progress in both software and hardware development in the recent years and has emerged as an applicable area of near-term quantum computers.
S. Moradi +7 more
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