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ORCIDQuantum Machine Intelligence, Volume 6
Volume 6, Number 1, June 2024
- Avi Vadali, Rutuja Kshirsagar, Prasanth Shyamsundar, Gabriel N. Perdue:
Quantum circuit fidelity estimation using machine learning. 1 - Hao-Yuan Chen, Yen-Jui Chang, Shih-Wei Liao, Ching-Ray Chang:
Deep Q-learning with hybrid quantum neural network on solving maze problems. 2 - Lars Simon, Manuel Radons:
On neural quantum support vector machines. 3 - Yaniv Romano, Harel Primack, Talya Vaknin, Idan Meirzada, Ilan Karpas, Dov Furman, Chene Tradonsky, Ruti Ben-Shlomi:
Quantum sparse coding. 4 - Frederic Rapp, Marco Roth:
Quantum Gaussian process regression for Bayesian optimization. 5 - Hiroyuki Tezuka, Shumpei Uno, Naoki Yamamoto:
Generative model for learning quantum ensemble with optimal transport loss. 6 - 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. 7 - Jishnu Mahmud, Raisa Mashtura, Shaikh Anowarul Fattah, Mohammad Saquib:
Quantum convolutional neural networks with interaction layers for classification of classical data. 11 - Hiroshi Ohno:
Grover's search with learning oracle for constrained binary optimization problems. 12 - Giuseppe Buonaiuto, Raffaele Guarasci, Aniello Minutolo, Giuseppe De Pietro, Massimo Esposito:
Quantum transfer learning for acceptability judgements. 13 - Yuichiro Mori, Kouhei Nakaji, Yuichiro Matsuzaki, Shiro Kawabata:
Expressive quantum supervised machine learning using Kerr-nonlinear parametric oscillators. 14 - Yoshiaki Kawase:
Distributed quantum neural networks via partitioned features encoding. 15 - Michal Koren, Or Peretz:
A quantum procedure for estimating information gain in Boolean classification task. 16 - Aikaterini Mandilara, Babette Dellen, Uwe Jaekel, Themistoklis Valtinos, Dimitris Syvridis:
Classification of data with a qudit, a geometric approach. 17 - 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. 18 - Ebrahim Ardeshir-Larijani, Mohammad Mahdi Nasiri Fatmehsari:
Hybrid classical-quantum transfer learning for text classification. 19 - 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. 20
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