Academic literature on the topic 'Supervised quantum learning'
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Journal articles on the topic "Supervised quantum learning"
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.
Full textZheng, 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.
Full textHavlíček, 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.
Full textShrapnel, 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.
Full textNivelkar, 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.
Full textSarma, 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.
Full textInnocenti, 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.
Full textWiebe, 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.
Full textJackson, 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.
Full textShaik, 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.
Full textDissertations / Theses on the topic "Supervised quantum learning"
Cangini, Nicolò. "Quantum Supervised Learning: Algoritmi e implementazione." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17694/.
Full textBooks on the topic "Supervised quantum learning"
Schuld, Maria, and Francesco Petruccione. Supervised Learning with Quantum Computers. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96424-9.
Full textPetruccione, Francesco, and Maria Schuld. Supervised Learning with Quantum Computers. Springer, 2019.
Find full textPetruccione, Francesco, and Maria Schuld. Supervised Learning with Quantum Computers. Springer, 2018.
Find full textBook chapters on the topic "Supervised quantum learning"
Nivelkar, Mukta, and S. G. Bhirud. "Supervised Machine Learning Strategies for Investigation of Weird Pattern Formulation from Large Volume Data Using Quantum Computing." In Advanced Computing and Intelligent Technologies, 569–76. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2164-2_45.
Full textWittek, Peter. "Supervised Learning and Support Vector Machines." In Quantum Machine Learning, 73–84. Elsevier, 2014. http://dx.doi.org/10.1016/b978-0-12-800953-6.00007-4.
Full textOneto, L., S. Ridella, and D. Anguita. "Quantum computing and supervised machine learning." In Quantum Inspired Computational Intelligence, 33–83. Elsevier, 2017. http://dx.doi.org/10.1016/b978-0-12-804409-4.00002-4.
Full textDi Ventra, Massimiliano. "Application to Machine Learning and Quantum Mechanics." In MemComputing, 180–222. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192845320.003.0010.
Full textConference papers on the topic "Supervised quantum learning"
Banchi, Leonardo, and Stefano Pirandola. "Supervised Quantum Learning as Quantum Channel Simulation." In Quantum Information and Measurement. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/qim.2019.s4b.5.
Full textBanchi, Leonardo, and Stefano Pirandola. "Supervised Quantum Learning as Quantum Channel Simulation." In Quantum Information and Measurement. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/qim.2019.s4d.6.
Full textZhuang, Quntao, and Zheshen Zhang. "Entanglement-Enhanced Physical-Layer Classifier Using Supervised Machine Learning." In Quantum 2.0. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/quantum.2020.qth6a.8.
Full textInnocenti, Luca, Leonardo Banchi, Alessandro Ferraro, Sougato Bose, and Mauro Paternostro. "Supervised learning of time-independent Hamiltonians for gate design." In Quantum Information and Measurement. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/qim.2019.f5a.28.
Full textCoulibaly, S., F. Bessin, M. G. Clerc, and A. Mussot. "Forecasting turbulence in a passive resonator with supervised machine learning." In 2021 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC). IEEE, 2021. http://dx.doi.org/10.1109/cleo/europe-eqec52157.2021.9542017.
Full textHossain, Muhammad Minoar, Mohammed Sowket Ali, Reshma Ahmed Swarna, Md Mahmodul Hasan, Nahida Habib, Md Wahidur Rahman, Mir Mohammad Azad, and Mohammad Motiur Rahman. "Analyzing the effect of feature mapping techniques along with the circuit depth in quantum supervised learning by utilizing quantum support vector machine." In 2021 24th International Conference on Computer and Information Technology (ICCIT). IEEE, 2021. http://dx.doi.org/10.1109/iccit54785.2021.9689853.
Full textReports on the topic "Supervised quantum learning"
Farhi, Edward, and Hartmut Neven. Classification with Quantum Neural Networks on Near Term Processors. Web of Open Science, December 2020. http://dx.doi.org/10.37686/qrl.v1i2.80.
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