Статті в журналах з теми "Quantum Machine Learning (QML)"
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Shaik, 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 джерелаKarandashev, Konstantin, and O. Anatole von Lilienfeld. "An orbital-based representation for accurate quantum machine learning." Journal of Chemical Physics 156, no. 11 (March 21, 2022): 114101. http://dx.doi.org/10.1063/5.0083301.
Повний текст джерелаChoppakatla, Arathi. "Quantum Machine Learning: Bridging the Gap Between Quantum Computing and Artificial Intelligence: An Overview." International Journal for Research in Applied Science and Engineering Technology 11, no. 8 (August 31, 2023): 1149–53. http://dx.doi.org/10.22214/ijraset.2023.55318.
Повний текст джерелаAvramouli, Maria, Ilias Κ. Savvas, Anna Vasilaki, and Georgia Garani. "Unlocking the Potential of Quantum Machine Learning to Advance Drug Discovery." Electronics 12, no. 11 (May 25, 2023): 2402. http://dx.doi.org/10.3390/electronics12112402.
Повний текст джерелаT West, Maxwell, Martin Sevior, and Muhammad Usman. "Reflection equivariant quantum neural networks for enhanced image classification." Machine Learning: Science and Technology 4, no. 3 (August 24, 2023): 035027. http://dx.doi.org/10.1088/2632-2153/acf096.
Повний текст джерелаChristensen, Anders S., and O. Anatole von Lilienfeld. "Operator Quantum Machine Learning: Navigating the Chemical Space of Response Properties." CHIMIA International Journal for Chemistry 73, no. 12 (December 18, 2019): 1028–31. http://dx.doi.org/10.2533/chimia.2019.1028.
Повний текст джерелаNguyen, Quoc Chuong, Le Bin Ho, Lan Nguyen Tran, and Hung Q. Nguyen. "Qsun: an open-source platform towards practical quantum machine learning applications." Machine Learning: Science and Technology 3, no. 1 (March 1, 2022): 015034. http://dx.doi.org/10.1088/2632-2153/ac5997.
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 джерелаKumar, Tarun, Dilip Kumar, and Gurmohan Singh. "Performance Analysis of Quantum Classifier on Benchmarking Datasets." International Journal of Electrical and Electronics Research 10, no. 2 (June 30, 2022): 375–80. http://dx.doi.org/10.37391/ijeer.100252.
Повний текст джерелаChen, Samuel Yen-Chi, and Shinjae Yoo. "Federated Quantum Machine Learning." Entropy 23, no. 4 (April 13, 2021): 460. http://dx.doi.org/10.3390/e23040460.
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 джерелаMancilla, Javier, and Christophe Pere. "A Preprocessing Perspective for Quantum Machine Learning Classification Advantage in Finance Using NISQ Algorithms." Entropy 24, no. 11 (November 15, 2022): 1656. http://dx.doi.org/10.3390/e24111656.
Повний текст джерелаWang, Maida, Anqi Huang, Yong Liu, Xuming Yi, Junjie Wu, and Siqi Wang. "A Quantum-Classical Hybrid Solution for Deep Anomaly Detection." Entropy 25, no. 3 (February 27, 2023): 427. http://dx.doi.org/10.3390/e25030427.
Повний текст джерелаGyurik, Casper, Dyon Vreumingen, van, and Vedran Dunjko. "Structural risk minimization for quantum linear classifiers." Quantum 7 (January 13, 2023): 893. http://dx.doi.org/10.22331/q-2023-01-13-893.
Повний текст джерелаGyurik, Casper, Chris Cade, and Vedran Dunjko. "Towards quantum advantage via topological data analysis." Quantum 6 (November 10, 2022): 855. http://dx.doi.org/10.22331/q-2022-11-10-855.
Повний текст джерелаWieder, Marcus, Josh Fass, and John D. Chodera. "Fitting quantum machine learning potentials to experimental free energy data: predicting tautomer ratios in solution." Chemical Science 12, no. 34 (2021): 11364–81. http://dx.doi.org/10.1039/d1sc01185e.
Повний текст джерела., Harshita. "6G Communication Network & Emerging Technologies." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 10, 2021): 507–14. http://dx.doi.org/10.22214/ijraset.2021.36029.
Повний текст джерелаWang, Xinbiao, Yuxuan Du, Yong Luo, and Dacheng Tao. "Towards understanding the power of quantum kernels in the NISQ era." Quantum 5 (August 30, 2021): 531. http://dx.doi.org/10.22331/q-2021-08-30-531.
Повний текст джерелаYun, Won Joon, Jihong Park, and Joongheon Kim. "Quantum Multi-Agent Meta Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 9 (June 26, 2023): 11087–95. http://dx.doi.org/10.1609/aaai.v37i9.26313.
Повний текст джерелаRiaz, Farina, Shahab Abdulla, Hajime Suzuki, Srinjoy Ganguly, Ravinesh C. Deo, and Susan Hopkins. "Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach." Sensors 23, no. 5 (March 2, 2023): 2753. http://dx.doi.org/10.3390/s23052753.
Повний текст джерелаShahwar, Tayyaba, Junaid Zafar, Ahmad Almogren, Haroon Zafar, Ateeq Ur Rehman, Muhammad Shafiq, and Habib Hamam. "Automated Detection of Alzheimer’s via Hybrid Classical Quantum Neural Networks." Electronics 11, no. 5 (February 26, 2022): 721. http://dx.doi.org/10.3390/electronics11050721.
Повний текст джерелаSato, Kyosuke, and Kenji Tsuruta. "Optimization of Molecular Characteristics via Machine Learning Based on Continuous Representation of Molecules." Materials Science Forum 1016 (January 2021): 1492–96. http://dx.doi.org/10.4028/www.scientific.net/msf.1016.1492.
Повний текст джерелаPinheiro, Gabriel A., Johnatan Mucelini, Marinalva D. Soares, Ronaldo C. Prati, Juarez L. F. Da Silva, and Marcos G. Quiles. "Machine Learning Prediction of Nine Molecular Properties Based on the SMILES Representation of the QM9 Quantum-Chemistry Dataset." Journal of Physical Chemistry A 124, no. 47 (November 11, 2020): 9854–66. http://dx.doi.org/10.1021/acs.jpca.0c05969.
Повний текст джерелаPilling, Michael J., Alex Henderson, Benjamin Bird, Mick D. Brown, Noel W. Clarke, and Peter Gardner. "High-throughput quantum cascade laser (QCL) spectral histopathology: a practical approach towards clinical translation." Faraday Discussions 187 (2016): 135–54. http://dx.doi.org/10.1039/c5fd00176e.
Повний текст джерелаPacheco-Londoño, Leonardo C., Eric Warren, Nataly J. Galán-Freyle, Reynaldo Villarreal-González, Joaquín A. Aparicio-Bolaño, María L. Ospina-Castro, Wei-Chuan Shih, and Samuel P. Hernández-Rivera. "Mid-Infrared Laser Spectroscopy Detection and Quantification of Explosives in Soils Using Multivariate Analysis and Artificial Intelligence." Applied Sciences 10, no. 12 (June 18, 2020): 4178. http://dx.doi.org/10.3390/app10124178.
Повний текст джерелаMittal, Shachi, Kevin Yeh, L. Suzanne Leslie, Seth Kenkel, Andre Kajdacsy-Balla, and Rohit Bhargava. "Simultaneous cancer and tumor microenvironment subtyping using confocal infrared microscopy for all-digital molecular histopathology." Proceedings of the National Academy of Sciences 115, no. 25 (June 4, 2018): E5651—E5660. http://dx.doi.org/10.1073/pnas.1719551115.
Повний текст джерелаBiamonte, Jacob, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, and Seth Lloyd. "Quantum machine learning." Nature 549, no. 7671 (September 2017): 195–202. http://dx.doi.org/10.1038/nature23474.
Повний текст джерелаAllcock, Jonathan, and Shengyu Zhang. "Quantum machine learning." National Science Review 6, no. 1 (November 30, 2018): 26–28. http://dx.doi.org/10.1093/nsr/nwy149.
Повний текст джерелаPeleshenko, Vitaly A. "QUANTUM MACHINE LEARNING." SOFT MEASUREMENTS AND COMPUTING 11, no. 60 (2022): 82–107. http://dx.doi.org/10.36871/2618-9976.2022.11.008.
Повний текст джерелаPudenz, Kristen L., and Daniel A. Lidar. "Quantum adiabatic machine learning." Quantum Information Processing 12, no. 5 (November 21, 2012): 2027–70. http://dx.doi.org/10.1007/s11128-012-0506-4.
Повний текст джерелаSaini, Shivani, PK Khosla, Manjit Kaur, and Gurmohan Singh. "Quantum Driven Machine Learning." International Journal of Theoretical Physics 59, no. 12 (December 2020): 4013–24. http://dx.doi.org/10.1007/s10773-020-04656-1.
Повний текст джерелаLamata, Lucas. "Quantum Reinforcement Learning with Quantum Photonics." Photonics 8, no. 2 (January 28, 2021): 33. http://dx.doi.org/10.3390/photonics8020033.
Повний текст джерелаFung, Fred. "QUANTUM SOFTWARE: Quantum Machine Learning in Telecommunication." Digitale Welt 6, no. 2 (March 12, 2022): 30–31. http://dx.doi.org/10.1007/s42354-022-0472-7.
Повний текст джерелаCárdenas‐López, Francisco A., Mikel Sanz, Juan Carlos Retamal, and Enrique Solano. "Enhanced Quantum Synchronization via Quantum Machine Learning." Advanced Quantum Technologies 2, no. 7-8 (January 7, 2019): 1800076. http://dx.doi.org/10.1002/qute.201800076.
Повний текст джерелаLamata, Lucas, Mikel Sanz, and Enrique Solano. "Quantum Machine Learning and Bioinspired Quantum Technologies." Advanced Quantum Technologies 2, no. 7-8 (August 2019): 1900075. http://dx.doi.org/10.1002/qute.201900075.
Повний текст джерелаBANG, Jeongho. "Machine Learning and Quantum Algorithm." Physics and High Technology 26, no. 12 (December 30, 2017): 25–29. http://dx.doi.org/10.3938/phit.26.048.
Повний текст джерелаRoggero, Alessandro, Jakub Filipek, Shih-Chieh Hsu, and Nathan Wiebe. "Quantum Machine Learning with SQUID." Quantum 6 (May 30, 2022): 727. http://dx.doi.org/10.22331/q-2022-05-30-727.
Повний текст джерелаSpagnolo, Nicolò, Alessandro Lumino, Emanuele Polino, Adil S. Rab, Nathan Wiebe, and Fabio Sciarrino. "Machine Learning for Quantum Metrology." Proceedings 12, no. 1 (August 23, 2019): 28. http://dx.doi.org/10.3390/proceedings2019012028.
Повний текст джерелаFabrizio, Alberto, Benjamin Meyer, Raimon Fabregat, and Clemence Corminboeuf. "Quantum Chemistry Meets Machine Learning." CHIMIA International Journal for Chemistry 73, no. 12 (December 18, 2019): 983–89. http://dx.doi.org/10.2533/chimia.2019.983.
Повний текст джерелаWang, Bingjie. "Quantum algorithms for machine learning." XRDS: Crossroads, The ACM Magazine for Students 23, no. 1 (September 20, 2016): 20–24. http://dx.doi.org/10.1145/2983535.
Повний текст джерелаCarrasquilla, Juan. "Machine learning for quantum matter." Advances in Physics: X 5, no. 1 (January 1, 2020): 1797528. http://dx.doi.org/10.1080/23746149.2020.1797528.
Повний текст джерелаDas Sarma, Sankar, Dong-Ling Deng, and Lu-Ming Duan. "Machine learning meets quantum physics." Physics Today 72, no. 3 (March 2019): 48–54. http://dx.doi.org/10.1063/pt.3.4164.
Повний текст джерелаKhan, Tariq M., and Antonio Robles-Kelly. "Machine Learning: Quantum vs Classical." IEEE Access 8 (2020): 219275–94. http://dx.doi.org/10.1109/access.2020.3041719.
Повний текст джерелаStajic, Jelena. "Machine learning and quantum physics." Science 355, no. 6325 (February 9, 2017): 591.15–593. http://dx.doi.org/10.1126/science.355.6325.591-o.
Повний текст джерелаSchuld, Maria. "Machine learning in quantum spaces." Nature 567, no. 7747 (March 2019): 179–81. http://dx.doi.org/10.1038/d41586-019-00771-0.
Повний текст джерелаSheng, Yu-Bo, and Lan Zhou. "Distributed secure quantum machine learning." Science Bulletin 62, no. 14 (July 2017): 1025–29. http://dx.doi.org/10.1016/j.scib.2017.06.007.
Повний текст джерелаHush, Michael R. "Machine learning for quantum physics." Science 355, no. 6325 (February 9, 2017): 580. http://dx.doi.org/10.1126/science.aam6564.
Повний текст джерелаSarkar, Soumyadip. "Quantum Machine Learning: A Review." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (March 31, 2023): 352–54. http://dx.doi.org/10.22214/ijraset.2023.49421.
Повний текст джерелаWatkins, William M., Samuel Yen-Chi Chen, and Shinjae Yoo. "Quantum machine learning with differential privacy." Scientific Reports 13, no. 1 (February 11, 2023). http://dx.doi.org/10.1038/s41598-022-24082-z.
Повний текст джерелаMoussa, Charles, Max Hunter Gordon, Michał Baczyk, Marco Cerezo, Lukasz Cincio, and Patrick J. Coles. "Resource frugal optimizer for quantum machine learning." Quantum Science and Technology, August 11, 2023. http://dx.doi.org/10.1088/2058-9565/acef55.
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