- Enrico Zardini, Enrico Blanzieri, Davide Pastorello. A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation. Quantum Mach. Intell., 6(1):23, June 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, June 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):31, June 2024.
- Yidong Liao, Min-Hsiu Hsieh, Chris Ferrie. Quantum optimization for training quantum neural networks. Quantum Mach. Intell., 6(1):33, June 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, June 2024.
- Or Peretz, Michal Koren. A parameterized quantum circuit for estimating distribution measures. Quantum Mach. Intell., 6(1):22, June 2024.
- Yang Qian, Yuxuan Du, Dacheng Tao. Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction. Quantum Mach. Intell., 6(1):32, June 2024.
- Fabio A. González 0001, Joseph Alejandro Gallego, Santiago Toledo-Cortés, Vladimir Vargas-Calderón. Correction: Learning with density matrices and random features. Quantum Mach. Intell., 6(1):30, June 2024.
- Giuseppe Buonaiuto, Raffaele Guarasci, Aniello Minutolo, Giuseppe De Pietro, Massimo Esposito. Quantum transfer learning for acceptability judgements. Quantum Mach. Intell., 6(1):13, June 2024.
- Frederic Rapp, Marco Roth. Quantum Gaussian process regression for Bayesian optimization. Quantum Mach. Intell., 6(1):5, June 2024.