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Publication search results
found 193 matches
- 2024
- Ohad Amosy, Tamuz Danzig, Ohad Lev, Ely Porat, Gal Chechik, Adi Makmal:
Iteration-Free quantum approximate optimization algorithm using neural networks. Quantum Mach. Intell. 6(2): 38 (2024) - Ebrahim Ardeshir-Larijani, Mohammad Mahdi Nasiri Fatmehsari:
Hybrid classical-quantum transfer learning for text classification. Quantum Mach. Intell. 6(1): 19 (2024) - Marco Baioletti, Francesco Santini:
An encoding of argumentation problems using quadratic unconstrained binary optimization. Quantum Mach. Intell. 6(2): 51 (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) - Hamza Baniata:
SoK: quantum computing methods for machine learning optimization. Quantum Mach. Intell. 6(2): 47 (2024) - Alessandro Berti, Anna Bernasconi, Gianna M. Del Corso, Riccardo Guidotti:
The role of encodings and distance metrics for the quantum nearest neighbor. Quantum Mach. Intell. 6(2): 62 (2024) - Sujit Biswas, Rajat Subhra Goswami, K. Hemant Kumar Reddy:
A cluster-based quantum key distribution with dynamic node selection: an improved approach for scalability and security in quantum communication. Quantum Mach. Intell. 6(2): 63 (2024) - Paolo Braccia, Pablo Bermejo, Lukasz Cincio, Marco Cerezo:
Computing exact moments of local random quantum circuits via tensor networks. Quantum Mach. Intell. 6(2): 54 (2024) - Shrigyan Brahmachari, Josep Lumbreras, Marco Tomamichel:
Quantum contextual bandits and recommender systems for quantum data. Quantum Mach. Intell. 6(2): 58 (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) - Zhiqiang Cai, Jialin Chen, Ke Xu, Lingli Wang:
Recognizing good variational quantum circuits with Monte Carlo Tree Search. Quantum Mach. Intell. 6(2): 36 (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) - Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Shinjae Yoo:
Federated quantum long short-term memory (FedQLSTM). Quantum Mach. Intell. 6(2): 43 (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) - Rodrigo Coelho, André Sequeira, Luís Paulo Santos:
VQC-based reinforcement learning with data re-uploading: performance and trainability. Quantum Mach. Intell. 6(2): 53 (2024) - Sebastian Egginger, Alona Sakhnenko, Jeanette Miriam Lorenz:
A hyperparameter study for quantum kernel methods. Quantum Mach. Intell. 6(2): 44 (2024) - Jose Falla, Quinn Langfitt, Yuri Alexeev, Ilya Safro:
Graph representation learning for parameter transferability in quantum approximate optimization algorithm. Quantum Mach. Intell. 6(2): 46 (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): 30 (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): 29 (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) - Ali Kookani, Yousef Mafi, Payman Kazemikhah, Hossein Aghababa, Kazim Fouladi, Masoud Barati:
XpookyNet: advancement in quantum system analysis through convolutional neural networks for detection of entanglement. Quantum Mach. Intell. 6(2): 50 (2024) - Michal Koren, Or Peretz:
A quantum procedure for estimating information gain in Boolean classification task. Quantum Mach. Intell. 6(1): 16 (2024) - Chang-Shing Lee, Mei-Hui Wang, Chih-Yu Chen, Sheng-Chi Yang, Marek Z. Reformat, Naoyuki Kubota, Amir Pourabdollah:
Integrating quantum CI and generative AI for Taiwanese/English co-learning. Quantum Mach. Intell. 6(2): 64 (2024) - Yidong Liao, Min-Hsiu Hsieh, Chris Ferrie:
Quantum optimization for training quantum neural networks. Quantum Mach. Intell. 6(1): 33 (2024) - Junyu Liu, Han Zheng, Masanori Hanada, Kanav Setia, Dan Wu:
Quantum power flows: from theory to practice. Quantum Mach. Intell. 6(2): 55 (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): 35 (2024)
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