Статті в журналах з теми "Supervised quantum learning"
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Fanizza, Marco, Andrea Mari, and Vittorio Giovannetti. "Supervised Quantum State Discrimination." Proceedings 12, no. 1 (July 19, 2019): 21. http://dx.doi.org/10.3390/proceedings2019012021.
Повний текст джерелаZheng, Yu-Lin, Wen Zhang, Cheng Zhou, and Wei Geng. "Quantum annealing for semi-supervised learning." Chinese Physics B 30, no. 4 (April 1, 2021): 040306. http://dx.doi.org/10.1088/1674-1056/abe298.
Повний текст джерелаHavlíček, Vojtěch, Antonio D. Córcoles, Kristan Temme, Aram W. Harrow, Abhinav Kandala, Jerry M. Chow, and Jay M. Gambetta. "Supervised learning with quantum-enhanced feature spaces." Nature 567, no. 7747 (March 2019): 209–12. http://dx.doi.org/10.1038/s41586-019-0980-2.
Повний текст джерелаShrapnel, Sally, Fabio Costa, and Gerard Milburn. "Quantum Markovianity as a supervised learning task." International Journal of Quantum Information 16, no. 08 (December 2018): 1840010. http://dx.doi.org/10.1142/s0219749918400105.
Повний текст джерелаNivelkar, Mukta, and S. G. Bhirud. "Modeling of Supervised Machine Learning using Mechanism of Quantum Computing." Journal of Physics: Conference Series 2161, no. 1 (January 1, 2022): 012023. http://dx.doi.org/10.1088/1742-6596/2161/1/012023.
Повний текст джерелаSarma, Abhijat, Rupak Chatterjee, Kaitlin Gili, and Ting Yu. "Quantum unsupervised and supervised learning on superconducting processors." Quantum Information and Computation 20, no. 7&8 (June 2020): 541–52. http://dx.doi.org/10.26421/qic20.7-8-1.
Повний текст джерелаInnocenti, Luca, Leonardo Banchi, Sougato Bose, Alessandro Ferraro, and Mauro Paternostro. "Approximate supervised learning of quantum gates via ancillary qubits." International Journal of Quantum Information 16, no. 08 (December 2018): 1840004. http://dx.doi.org/10.1142/s021974991840004x.
Повний текст джерелаWiebe, Nathan, Ashish Kapoor, and Krysta M. Svore. "Quantum algorithms for nearest-neighbor methods for supervised and unsupervised learning." Quantum Information and Computation 15, no. 3&4 (March 2015): 316–56. http://dx.doi.org/10.26421/qic15.3-4-7.
Повний текст джерелаJackson, Nicholas E., Alec S. Bowen, Lucas W. Antony, Michael A. Webb, Venkatram Vishwanath, and Juan J. de Pablo. "Electronic structure at coarse-grained resolutions from supervised machine learning." Science Advances 5, no. 3 (March 2019): eaav1190. http://dx.doi.org/10.1126/sciadv.aav1190.
Повний текст джерелаShaik, Riyaaz Uddien, Aiswarya Unni, and Weiping Zeng. "Quantum Based Pseudo-Labelling for Hyperspectral Imagery: A Simple and Efficient Semi-Supervised Learning Method for Machine Learning Classifiers." Remote Sensing 14, no. 22 (November 16, 2022): 5774. http://dx.doi.org/10.3390/rs14225774.
Повний текст джерелаKimura, Tomoaki, Kodai Shiba, Chih-Chieh Chen, Masaru Sogabe, Katsuyoshi Sakamoto, and Tomah Sogabe. "Variational Quantum Circuit-Based Reinforcement Learning for POMDP and Experimental Implementation." Mathematical Problems in Engineering 2021 (December 23, 2021): 1–11. http://dx.doi.org/10.1155/2021/3511029.
Повний текст джерелаLi, Wei-Ming, and Shi-Ju Ran. "Non-Parametric Semi-Supervised Learning in Many-Body Hilbert Space with Rescaled Logarithmic Fidelity." Mathematics 10, no. 6 (March 15, 2022): 940. http://dx.doi.org/10.3390/math10060940.
Повний текст джерелаLi, Xiaoyu, Yifei Pei, Ying Zhao, Haoqiang Song, Jianhui Zhao, Lei Yan, Hui He, Siyu Lu, and Xiaobing Yan. "Memristors based on carbon dots for learning activities in artificial biosynapse applications." Materials Chemistry Frontiers 6, no. 8 (2022): 1098–106. http://dx.doi.org/10.1039/d2qm00151a.
Повний текст джерелаChabaud, Ulysse, Damian Markham, and Adel Sohbi. "Quantum machine learning with adaptive linear optics." Quantum 5 (July 5, 2021): 496. http://dx.doi.org/10.22331/q-2021-07-05-496.
Повний текст джерелаLi, Guangxi, Zhixin Song, and Xin Wang. "VSQL: Variational Shadow Quantum Learning for Classification." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 9 (May 18, 2021): 8357–65. http://dx.doi.org/10.1609/aaai.v35i9.17016.
Повний текст джерелаMiano, Mariana Godoy Vazquez, and Aleccheevina Silva de Oliveira. "DESEMPENHO DE ALGORITMOS QUÂNTICOS E CLÁSSICOS EM TREINAMENTO DE MACHINE LEARNING SUPERVISIONADO." REVISTA TECNOLÓGICA DA FATEC AMERICANA 09, no. 02 (December 20, 2021): 81–99. http://dx.doi.org/10.47283/244670492021090281.
Повний текст джерелаLiu, Yunchao, Srinivasan Arunachalam, and Kristan Temme. "A rigorous and robust quantum speed-up in supervised machine learning." Nature Physics 17, no. 9 (July 12, 2021): 1013–17. http://dx.doi.org/10.1038/s41567-021-01287-z.
Повний текст джерелаWang, Rui, Carlos Hernani-Morales, José D. Martín-Guerrero, Enrique Solano, and Francisco Albarrán-Arriagada. "Quantum pattern recognition in photonic circuits." Quantum Science and Technology 7, no. 1 (November 16, 2021): 015010. http://dx.doi.org/10.1088/2058-9565/ac3460.
Повний текст джерелаKawai, Hiroki, and Yuya O. Nakagawa. "Predicting excited states from ground state wavefunction by supervised quantum machine learning." Machine Learning: Science and Technology 1, no. 4 (October 31, 2020): 045027. http://dx.doi.org/10.1088/2632-2153/aba183.
Повний текст джерелаZhu, Jinlin, Zhiqiang Ge, and Zhihuan Song. "Quantum statistic based semi-supervised learning approach for industrial soft sensor development." Control Engineering Practice 74 (May 2018): 144–52. http://dx.doi.org/10.1016/j.conengprac.2018.03.001.
Повний текст джерелаSpillard, Samuel, Christopher J. Turner, and Konstantinos Meichanetzidis. "Machine learning entanglement freedom." International Journal of Quantum Information 16, no. 08 (December 2018): 1840002. http://dx.doi.org/10.1142/s0219749918400026.
Повний текст джерелаHsieh, Hsien-Yi, Jingyu Ning, Yi-Ru Chen, Hsun-Chung Wu, Hua Li Chen, Chien-Ming Wu, and Ray-Kuang Lee. "Direct Parameter Estimations from Machine Learning-Enhanced Quantum State Tomography." Symmetry 14, no. 5 (April 25, 2022): 874. http://dx.doi.org/10.3390/sym14050874.
Повний текст джерелаHsieh, Hsien-Yi, Jingyu Ning, Yi-Ru Chen, Hsun-Chung Wu, Hua Li Chen, Chien-Ming Wu, and Ray-Kuang Lee. "Direct Parameter Estimations from Machine Learning-Enhanced Quantum State Tomography." Symmetry 14, no. 5 (April 25, 2022): 874. http://dx.doi.org/10.3390/sym14050874.
Повний текст джерелаBelis, Vasilis, Samuel González-Castillo, Christina Reissel, Sofia Vallecorsa, Elías F. Combarro, Günther Dissertori, and Florentin Reiter. "Higgs analysis with quantum classifiers." EPJ Web of Conferences 251 (2021): 03070. http://dx.doi.org/10.1051/epjconf/202125103070.
Повний текст джерелаYang, Jing Hai. "Application of Quantum Self-Organization Mapping Networks to Classification." Applied Mechanics and Materials 411-414 (September 2013): 707–11. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.707.
Повний текст джерелаRegonia, Paul Rossener, Christian Mark Pelicano, Ryosuke Tani, Atsushi Ishizumi, Hisao Yanagi, and Kazushi Ikeda. "Predicting the band gap of ZnO quantum dots via supervised machine learning models." Optik 207 (April 2020): 164469. http://dx.doi.org/10.1016/j.ijleo.2020.164469.
Повний текст джерелаSrikumar, Maiyuren, Charles D. Hill, and Lloyd C. L. Hollenberg. "Clustering and enhanced classification using a hybrid quantum autoencoder." Quantum Science and Technology 7, no. 1 (December 21, 2021): 015020. http://dx.doi.org/10.1088/2058-9565/ac3c53.
Повний текст джерелаEt.al, Balaji Vicharapu. "A New Way To Prevent Colorectal Cancer Using Supervised Learning Technique." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (April 10, 2021): 3931–44. http://dx.doi.org/10.17762/turcomat.v12i3.1682.
Повний текст джерелаHamann, Arne, and Sabine Wölk. "Performance analysis of a hybrid agent for quantum-accessible reinforcement learning." New Journal of Physics 24, no. 3 (March 1, 2022): 033044. http://dx.doi.org/10.1088/1367-2630/ac5b56.
Повний текст джерелаParker, Amanda J., and Amanda S. Barnard. "Unsupervised structure classes vs. supervised property classes of silicon quantum dots using neural networks." Nanoscale Horizons 6, no. 3 (2021): 277–82. http://dx.doi.org/10.1039/d0nh00637h.
Повний текст джерелаZhao, Wenlin, Yinuo Wang, Yingjie Qu, Hongyang Ma, and Shumei Wang. "Binary Classification Quantum Neural Network Model Based on Optimized Grover Algorithm." Entropy 24, no. 12 (December 6, 2022): 1783. http://dx.doi.org/10.3390/e24121783.
Повний текст джерелаXue, Shichuan, Yizhi Wang, Yong Liu, Weixu Shi, and Junjie Wu. "Variational Quantum Process Tomography of Non-Unitaries." Entropy 25, no. 1 (January 1, 2023): 90. http://dx.doi.org/10.3390/e25010090.
Повний текст джерелаKong, Jian-Gang, Qing-Xu Li, Jian Li, Yu Liu, and Jia-Ji Zhu. "Self-Supervised Graph Neural Networks for Accurate Prediction of Néel Temperature." Chinese Physics Letters 39, no. 6 (June 1, 2022): 067503. http://dx.doi.org/10.1088/0256-307x/39/6/067503.
Повний текст джерелаMd Ali, Mohd Adli, Nu’man Badrud’din, Hafidzul Abdullah, and Faiz Kemi. "Alternate methods for anomaly detection in high-energy physics via semi-supervised learning." International Journal of Modern Physics A 35, no. 23 (August 12, 2020): 2050131. http://dx.doi.org/10.1142/s0217751x20501316.
Повний текст джерелаNam, Chunghee. "Machine Learning Guided Prediction of Superhard Materials Based on Compositional Features." Korean Journal of Metals and Materials 60, no. 8 (August 5, 2022): 619–27. http://dx.doi.org/10.3365/kjmm.2022.60.8.619.
Повний текст джерелаDarulová, J., M. Troyer, and M. C. Cassidy. "Evaluation of synthetic and experimental training data in supervised machine learning applied to charge-state detection of quantum dots." Machine Learning: Science and Technology 2, no. 4 (September 13, 2021): 045023. http://dx.doi.org/10.1088/2632-2153/ac104c.
Повний текст джерелаParisi, Luca, Amir Zaernia, Renfei Ma та Mansour Youseffi. "Ηyper-sinh-Convolutional Neural Network for Early Detection of Parkinson’s Disease from Spiral Drawings". WSEAS TRANSACTIONS ON COMPUTER RESEARCH 9 (31 березня 2021): 1–7. http://dx.doi.org/10.37394/232018.2021.9.1.
Повний текст джерелаHamdan, Baida Abdulredha. "Neural Network Principles and its Application." Webology 19, no. 1 (January 20, 2022): 3955–70. http://dx.doi.org/10.14704/web/v19i1/web19261.
Повний текст джерелаKuzmenko, O., H. Yarovenko, and L. Skrynka. "ANALYSIS OF MATHEMATICAL MODELS FOR COUNTERING CYBER FRAUD IN BANKS." Vìsnik Sumsʹkogo deržavnogo unìversitetu 2022, no. 2 (2022): 111–20. http://dx.doi.org/10.21272/1817-9215.2022.2-13.
Повний текст джерелаKuhn, Stephen, Matthew J. Cracknell, Anya M. Reading, and Stephanie Sykora. "Identification of intrusive lithologies in volcanic terrains in British Columbia by machine learning using random forests: The value of using a soft classifier." GEOPHYSICS 85, no. 6 (November 1, 2020): B249—B258. http://dx.doi.org/10.1190/geo2019-0461.1.
Повний текст джерелаJaderberg, Ben, Lewis W. Anderson, Weidi Xie, Samuel Albanie, Martin Kiffner, and Dieter Jaksch. "Quantum Self-Supervised Learning." Quantum Science and Technology, April 19, 2022. http://dx.doi.org/10.1088/2058-9565/ac6825.
Повний текст джерелаMonràs, Alex, Gael Sentís, and Peter Wittek. "Inductive Supervised Quantum Learning." Physical Review Letters 118, no. 19 (May 12, 2017). http://dx.doi.org/10.1103/physrevlett.118.190503.
Повний текст джерелаSaeedi, Seyran, Aliakbar Panahi, and Tom Arodz. "Quantum semi-supervised kernel learning." Quantum Machine Intelligence 3, no. 2 (October 7, 2021). http://dx.doi.org/10.1007/s42484-021-00053-x.
Повний текст джерелаAlvarez-Rodriguez, Unai, Lucas Lamata, Pablo Escandell-Montero, José D. Martín-Guerrero, and Enrique Solano. "Supervised Quantum Learning without Measurements." Scientific Reports 7, no. 1 (October 20, 2017). http://dx.doi.org/10.1038/s41598-017-13378-0.
Повний текст джерелаZhou, Xiangzhen, Yuan Feng, and Sanjiang Li. "Supervised Learning Enhanced Quantum Circuit Transformation." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022, 1. http://dx.doi.org/10.1109/tcad.2022.3179223.
Повний текст джерелаKulkarni, Viraj, Milind Kulkarni, and Aniruddha Pant. "Quantum computing methods for supervised learning." Quantum Machine Intelligence 3, no. 2 (September 6, 2021). http://dx.doi.org/10.1007/s42484-021-00050-0.
Повний текст джерелаCiliberto, Carlo, Andrea Rocchetto, Alessandro Rudi, and Leonard Wossnig. "Statistical limits of supervised quantum learning." Physical Review A 102, no. 4 (October 28, 2020). http://dx.doi.org/10.1103/physreva.102.042414.
Повний текст джерелаShin, S., Y. S. Teo, and H. Jeong. "Exponential data encoding for quantum supervised learning." Physical Review A 107, no. 1 (January 23, 2023). http://dx.doi.org/10.1103/physreva.107.012422.
Повний текст джерелаHatakeyama-Sato, Kan, Yasuhiko Igarashi, Takahiro Kashikawa, Koichi Kimura, and Kenichi Oyaizu. "Quantum circuit learning as a potential algorithm to predict experimental chemical properties." Digital Discovery, 2022. http://dx.doi.org/10.1039/d2dd00090c.
Повний текст джерелаAdhikary, Soumik, Siddharth Dangwal, and Debanjan Bhowmik. "Supervised learning with a quantum classifier using multi-level systems." Quantum Information Processing 19, no. 3 (January 21, 2020). http://dx.doi.org/10.1007/s11128-020-2587-9.
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