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Publication search results
found 25 matches
- 2024
- Ebrahim Ardeshir-Larijani, Mohammad Mahdi Nasiri Fatmehsari:
Hybrid classical-quantum transfer learning for text classification. Quantum Mach. Intell. 6(1): 19 (2024) - Jack S. Baker, Gilchan Park, Kwangmin Yu, Ara Ghukasyan, Oktay Göktas, Santosh Kumar Radha:
Parallel hybrid quantum-classical machine learning for kernelized time-series classification. Quantum Mach. Intell. 6(1): 18 (2024) - Giuseppe Buonaiuto, Raffaele Guarasci, Aniello Minutolo, Giuseppe De Pietro, Massimo Esposito:
Quantum transfer learning for acceptability judgements. Quantum Mach. Intell. 6(1): 13 (2024) - Yen-Jui Chang, Wei-Ting Wang, Hao-Yuan Chen, Shih-Wei Liao, Ching-Ray Chang:
A novel approach for quantum financial simulation and quantum state preparation. Quantum Mach. Intell. 6(1): 24 (2024) - Hao-Yuan Chen, Yen-Jui Chang, Shih-Wei Liao, Ching-Ray Chang:
Deep Q-learning with hybrid quantum neural network on solving maze problems. Quantum Mach. Intell. 6(1): 2 (2024) - Moe Hdaib, Sutharshan Rajasegarar, Lei Pan:
Quantum deep learning-based anomaly detection for enhanced network security. Quantum Mach. Intell. 6(1): 26 (2024) - Jamie Heredge, Charles D. Hill, Lloyd C. L. Hollenberg, Martin Sevior:
Permutation invariant encodings for quantum machine learning with point cloud data. Quantum Mach. Intell. 6(1): 25 (2024) - Nouhaila Innan, Owais Ishtiaq Siddiqui, Shivang Arora, Tamojit Ghosh, Yasemin Poyraz Koçak, Dominic Paragas, Abdullah Al Omar Galib, Muhammad Al-Zafar Khan, Mohamed Bennai:
Quantum state tomography using quantum machine learning. Quantum Mach. Intell. 6(1): 28 (2024) - Nouhaila Innan, Abhishek Sawaika, Ashim Dhor, Siddhant Dutta, Sairupa Thota, Husayn Gokal, Nandan Patel, Muhammad Al-Zafar Khan, Ioannis Theodonis, Mohamed Bennai:
Financial fraud detection using quantum graph neural networks. Quantum Mach. Intell. 6(1): 7 (2024) - Yoshiaki Kawase:
Distributed quantum neural networks via partitioned features encoding. Quantum Mach. Intell. 6(1): 15 (2024) - Michal Koren, Or Peretz:
A quantum procedure for estimating information gain in Boolean classification task. Quantum Mach. Intell. 6(1): 16 (2024) - Jishnu Mahmud, Raisa Mashtura, Shaikh Anowarul Fattah, Mohammad Saquib:
Quantum convolutional neural networks with interaction layers for classification of classical data. Quantum Mach. Intell. 6(1): 11 (2024) - Aikaterini Mandilara, Babette Dellen, Uwe Jaekel, Themistoklis Valtinos, Dimitris Syvridis:
Classification of data with a qudit, a geometric approach. Quantum Mach. Intell. 6(1): 17 (2024) - Yuichiro Mori, Kouhei Nakaji, Yuichiro Matsuzaki, Shiro Kawabata:
Expressive quantum supervised machine learning using Kerr-nonlinear parametric oscillators. Quantum Mach. Intell. 6(1): 14 (2024) - Hiroshi Ohno:
Grover's search with learning oracle for constrained binary optimization problems. Quantum Mach. Intell. 6(1): 12 (2024) - Or Peretz, Michal Koren:
A parameterized quantum circuit for estimating distribution measures. Quantum Mach. Intell. 6(1): 22 (2024) - Frederic Rapp, Marco Roth:
Quantum Gaussian process regression for Bayesian optimization. Quantum Mach. Intell. 6(1): 5 (2024) - Yaniv Romano, Harel Primack, Talya Vaknin, Idan Meirzada, Ilan Karpas, Dov Furman, Chene Tradonsky, Ruti Ben-Shlomi:
Quantum sparse coding. Quantum Mach. Intell. 6(1): 4 (2024) - Lars Simon, Manuel Radons:
On neural quantum support vector machines. Quantum Mach. Intell. 6(1): 3 (2024) - Kanimozhi T, Sridevi S, Valliammai M, Mohanraj J, Vinodh Kumar N, Amirthalingam Sathasivam:
Behavior prediction of fiber optic temperature sensor based on hybrid classical quantum regression model. Quantum Mach. Intell. 6(1): 20 (2024) - Hiroyuki Tezuka, Shumpei Uno, Naoki Yamamoto:
Generative model for learning quantum ensemble with optimal transport loss. Quantum Mach. Intell. 6(1): 6 (2024) - Sohum Thakkar, Skander Kazdaghli, Natansh Mathur, Iordanis Kerenidis, André J. Ferreira-Martins, Samurai Brito:
Improved financial forecasting via quantum machine learning. Quantum Mach. Intell. 6(1): 27 (2024) - Sean Tull, Razin A. Shaikh, Sara Sabrina Zemljic, Stephen Clark:
From conceptual spaces to quantum concepts: formalising and learning structured conceptual models. Quantum Mach. Intell. 6(1): 21 (2024) - Avi Vadali, Rutuja Kshirsagar, Prasanth Shyamsundar, Gabriel N. Perdue:
Quantum circuit fidelity estimation using machine learning. Quantum Mach. Intell. 6(1): 1 (2024) - Enrico Zardini, Enrico Blanzieri, Davide Pastorello:
A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation. Quantum Mach. Intell. 6(1): 23 (2024)
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