Machine learning algorithms based on parametrized quantum circuits are prime candidates for near-term applications on noisy quantum computers. In this direction, various types of quantum machine learning models have been introduced and studied extensivel
Machine learning & artificial intelligence in the quantum domain: A review of recent progress. Rep. Prog. Phys. 2018, 81, 074001. [Google Scholar] [PubMed] [Green Version] Schuld, M.; Sinayskiy, I.; Petruccione, F. The quest for a Quantum Neural Network. Quantum Inf. Process. 2014,...
Awesome Machine Learning and Deep Learning Mathematics isonline Published Basic Presentation of the series Quantum Machine Learning If you think this page might helpful. Please help for World Education Charity or kids who wants to learn Releases ...
Article Google Scholar Huang, H.-Y., Kueng, R. & Preskill, J. Information-theoretic bounds on quantum advantage in machine learning. arXiv preprint arXiv:2101.02464 https://arxiv.org/abs/2101.02464 (2021). Anderson, E. et al. LAPACK Users’ Guide, 3rd edn. (Society for Industrial and...
APS 国家科技图书文献中心 (权威机构) Semantic Scholar (全网免费下载) Semantic Scholar 掌桥科研 查看更多 相似文献 引证文献Variational data encoding and correlations in quantum-enhanced machine learning MH Wang,H Lu 被引量: 0发表: 2024年 Variational data encoding and correlations in quantum-enhanced ...
Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey. Artif Intell Rev. 2019;52:77–124. Article Google Scholar Bandyopadhyay S, DUTTA S. Detection of fraud transactions using recurrent neural network during COVID-19. 2020. Jiang Y, Chen H, Loew...
Machine Learning by Two-Dimensional Hierarchical Tensor Networks: A Quantum Information Theoretic Perspective on Deep Architectures 来自 Semantic Scholar 喜欢 0 阅读量: 160 作者:D Liu,SJ Ran,P Wittek,C Peng,RB García,G Su,M Lewenstein 摘要: The resemblance between the methods used in quantum-...
In this work, we combined quantum chemistry and machine learning (ML) to study the first hyperpolarizability ( β ) in [2.2]paracyclophane-containing push–pull compounds with various terminal donor/acceptor pairs and molecular lengths. To generate reference β values for ML, the ab initio ...
来自 Semantic Scholar 喜欢 0 阅读量: 336 作者:I Kerenidis,J Landman,A Luongo,A Prakash 摘要: Quantum machine learning is one of the most promising applications of a full-scale quantum computer. Over the past few years, many quantum machine learning algorithms have been proposed that can ...
Fuelled by increasing computer power and algorithmic advances, machine learning techniques have become powerful tools for finding patterns in data. Quantum systems produce atypical patterns that classical systems are thought not to produce efficiently, s