Results 81 to 90 of about 8,042,432 (193)
Quantum Machine Learning What Quantum Computing Means to Data Mining
Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved, it focuses on providing a synthesis that explains the most ...
Wittek, Peter
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A Future with Quantum Machine Learning
Could combining quantum computing and machine learning with Moore’s law produce a true “rebooted computer”? This article posits that a three-technology hybrid-computing approach might yield sufficiently improved answers to a broad class of problems such that energy efficiency will no longer be the dominant concern.
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Quantum machine learning for electronic structure calculations
With the rapid development of quantum computers, quantum machine learning approaches are emerging as powerful tools to perform electronic structure calculations.
Rongxin Xia, Sabre Kais
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Explaining quantum circuits with Shapley values: towards explainable quantum machine learning
Methods of artificial intelligence (AI) and especially machine learning (ML) have been growing ever more complex, and at the same time have more and more impact on people’s lives.
Heese, Raoul +5 more
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Zc(3900) observation at BESIII with QSVM method [PDF]
In recent years, quantum computing shows significant potentials in many areas. In this proceeding, we revisit the observation of the Zc(3900) resonance with quantum machine learning techniques, specifically quantum support vector machine (QSVM ...
Ding Biao +4 more
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Quantum machine learning [PDF]
Allcock, Jonathan, Zhang, Shengyu
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PegasosQSVM: A Quantum Machine Learning Approach for Accurate Fake News Detection
The rapid spread of fake news on social media poses a significant threat to modern societies. Traditional machine learning approaches have limitations in handling the ever-increasing volume and complexity of data.
Mehdi Khalil +3 more
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Medical Health Informatics has envisaged quantum computing as flurry of promising solutions to deal with mental health related issues of young adults in recent times.
Mrutyunjaya Panda, Saumya Ranjan Mahanta
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Machine learning by unitary tensor network of hierarchical tree structure
The resemblance between the methods used in quantum-many body physics and in machine learning has drawn considerable attention. In particular, tensor networks (TNs) and deep learning architectures bear striking similarities to the extent that TNs can be ...
Ding Liu +6 more
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Quantum Machine Learning vs Classical Machine Learning: A Comparative Study from Scratch
This thesis presents a comparative study of quantum machine learning and classical machine learning developed from first principles. It begins by establishing the foundations of the quantum circuit model, observables, and projective measurement, and then
Barón Sandoval, Juan Pablo
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