Quantum Mach. Intell.

Keyphrases

Publications

volume 6, number 1, 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) (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) (2024)
Fabio A. González, Joseph Alejandro Gallego, Santiago Toledo-Cortés, Vladimir Vargas-Calderón
Correction: Learning with density matrices and random features. Quantum Mach. Intell. 6 (1) (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) (2024)
Avi Vadali, Rutuja Kshirsagar, Prasanth Shyamsundar, Gabriel N. Perdue
Quantum circuit fidelity estimation using machine learning. Quantum Mach. Intell. 6 (1) (2024)
Charles London, Douglas Brown, Wenduan Xu, Sezen Vatansever, Christopher J. Langmead, Dimitri Kartsaklis, Stephen Clark, Konstantinos Meichanetzidis
Peptide binding classification on quantum computers. Quantum Mach. Intell. 6 (1) (2024)
Teppei Suzuki, Takashi Hasebe, Tsubasa Miyazaki
Quantum support vector machines for classification and regression on a trapped-ion quantum computer. Quantum Mach. Intell. 6 (1) (2024)
Frederic Rapp, Marco Roth
Quantum Gaussian process regression for Bayesian optimization. Quantum Mach. Intell. 6 (1) (2024)
Lars Simon, Manuel Radons
On neural quantum support vector machines. Quantum Mach. Intell. 6 (1) (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) (2024)
Ebrahim Ardeshir-Larijani, Mohammad Mahdi Nasiri Fatmehsari
Hybrid classical-quantum transfer learning for text classification. Quantum Mach. Intell. 6 (1) (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) (2024)
Nishikanta Mohanty, Bikash K. Behera, Christopher Ferrie
Solving the vehicle routing problem via quantum support vector machines. Quantum Mach. Intell. 6 (1) (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) (2024)
Moe Hdaib, Sutharshan Rajasegarar, Lei Pan
Quantum deep learning-based anomaly detection for enhanced network security. Quantum Mach. Intell. 6 (1) (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) (2024)
Vu Tuan Hai, Lawrence H. Le, The Bao Pham
Exploring the features of quanvolutional neural networks for improved image classification. Quantum Mach. Intell. 6 (1) (2024)
Or Peretz, Michal Koren
A parameterized quantum circuit for estimating distribution measures. Quantum Mach. Intell. 6 (1) (2024)
Yuichiro Mori, Kouhei Nakaji, Yuichiro Matsuzaki, Shiro Kawabata
Expressive quantum supervised machine learning using Kerr-nonlinear parametric oscillators. Quantum Mach. Intell. 6 (1) (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) (2024)
Hiroshi Ohno
Grover's search with learning oracle for constrained binary optimization problems. Quantum Mach. Intell. 6 (1) (2024)
Giuseppe Buonaiuto, Raffaele Guarasci, Aniello Minutolo, Giuseppe De Pietro, Massimo Esposito
Quantum transfer learning for acceptability judgements. Quantum Mach. Intell. 6 (1) (2024)
Michal Koren, Or Peretz
A quantum procedure for estimating information gain in Boolean classification task. Quantum Mach. Intell. 6 (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) (2024)
Yoshiaki Kawase
Distributed quantum neural networks via partitioned features encoding. Quantum Mach. Intell. 6 (1) (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) (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) (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) (2024)
Yidong Liao, Min-Hsiu Hsieh, Chris Ferrie
Quantum optimization for training quantum neural networks. Quantum Mach. Intell. 6 (1) (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) (2024)
Yang Qian, Yuxuan Du, Dacheng Tao
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction. Quantum Mach. Intell. 6 (1) (2024)
Hiroyuki Tezuka, Shumpei Uno, Naoki Yamamoto
Generative model for learning quantum ensemble with optimal transport loss. Quantum Mach. Intell. 6 (1) (2024)

volume 6, number 2, 2024