- Lirandë Pira, Chris Ferrie:
An invitation to distributed quantum neural networks. Quantum Mach. Intell. 5(2): 1-24 (2023) - Massimo Pregnolato, Paola Zizzi:
SARS-CoV-2 spike and ACE2 entanglement-like binding. Quantum Mach. Intell. 5(1): 1-13 (2023) - Stanislav I. Protasov, Marina O. Lisnichenko
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Faster quantum state decomposition with Tucker tensor approximation. Quantum Mach. Intell. 5(2): 1-10 (2023) - Asel Sagingalieva, Mohammad Kordzanganeh, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Perelshtein, Alexey Melnikov, Andrea Skolik, David Von Dollen:
Hybrid quantum ResNet for car classification and its hyperparameter optimization. Quantum Mach. Intell. 5(2): 1-15 (2023) - Kai Schärer, Marco Comuzzi:
The quantum threat to blockchain: summary and timeline analysis. Quantum Mach. Intell. 5(1): 1-12 (2023) - André Sequeira, Luís Paulo Santos, Luís Soares Barbosa:
Policy gradients using variational quantum circuits. Quantum Mach. Intell. 5(1): 1-15 (2023) - Michal Siemaszko, Adam Buraczewski, Bertrand Le Saux, Magdalena Stobinska:
Rapid training of quantum recurrent neural networks. Quantum Mach. Intell. 5(2): 1-16 (2023) - Anthony M. Smaldone, Gregory W. Kyro, Victor S. Batista:
Quantum convolutional neural networks for multi-channel supervised learning. Quantum Mach. Intell. 5(2): 1-15 (2023) - James Stokes, Saibal De, Shravan K. Veerapaneni, Giuseppe Carleo:
Continuous-variable neural network quantum states and the quantum rotor model. Quantum Mach. Intell. 5(1): 1-12 (2023) - Supanut Thanasilp, Samson Wang, Nhat A. Nghiem, Patrick J. Coles, Marco Cerezo:
Subtleties in the trainability of quantum machine learning models. Quantum Mach. Intell. 5(1): 1-22 (2023) - Cenk Tüysüz, Giuseppe Clemente, Arianna Crippa, Tobias Hartung, Stefan Kühn, Karl Jansen:
Classical splitting of parametrized quantum circuits. Quantum Mach. Intell. 5(2): 1-19 (2023) - Noah L. Wach, Manuel S. Rudolph, Fred Jendrzejewski, Sebastian Schmitt:
Data re-uploading with a single qudit. Quantum Mach. Intell. 5(2): 1-12 (2023) - Wen-Ran Zhang:
If AI machine cannot think, can QI machine think? - from negative numbers to quantum intelligence for mind-light-matter unity. Quantum Mach. Intell. 5(1): 1-18 (2023) - Haimeng Zhao:
Non-IID quantum federated learning with one-shot communication complexity. Quantum Mach. Intell. 5(1): 1-11 (2023) - Tianchen Zhao, James Stokes, Shravan K. Veerapaneni:
Meta-variational quantum Monte Carlo. Quantum Mach. Intell. 5(1): 1-9 (2023) - Yan Zhu, Ge Bai, Yuexuan Wang, Tongyang Li, Giulio Chiribella:
Quantum autoencoders for communication-efficient cloud computing. Quantum Mach. Intell. 5(2): 1-15 (2023)
