Quantum Mach. Intell.

Keyphrases

Publications

volume 6, number 1, 2024

Avi Vadali, Rutuja Kshirsagar, Prasanth Shyamsundar, Gabriel N. Perdue
Quantum circuit fidelity estimation using machine learning. 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)

volume 5, number 1, 2023

Jure Brence, Dragan Mihailovic, Viktor V. Kabanov, Ljupco Todorovski, Saso Dzeroski, Jaka Vodeb
Boosting the performance of quantum annealers using machine learning. Quantum Mach. Intell. 5 (1) (2023)
Sreetama Das, Jingfu Zhang, Stefano Martina, Dieter Suter, Filippo Caruso
Quantum pattern recognition on real quantum processing units. Quantum Mach. Intell. 5 (1) (2023)
Anupama Padha, Anita Sahoo
MAQML: a Meta-approach to Quantum Machine Learning with Accentuated Sample Variations for Unobtrusive Mental Health Monitoring. Quantum Mach. Intell. 5 (1) (2023)
Péter Mernyei, Konstantinos Meichanetzidis, Ismail Ilkan Ceylan
Equivariant quantum graph circuits: constructions for universal approximation over graphs. Quantum Mach. Intell. 5 (1) (2023)
Tianchen Zhao, James Stokes, Shravan K. Veerapaneni
Meta-variational quantum Monte Carlo. Quantum Mach. Intell. 5 (1) (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) (2023)
Kai Liu, Yuxing Wei, Hai-Sheng Li
The quantum realization of image linear gray enhancement. Quantum Mach. Intell. 5 (1) (2023)
Massimo Pregnolato, Paola Zizzi
SARS-CoV-2 spike and ACE2 entanglement-like binding. Quantum Mach. Intell. 5 (1) (2023)
Marina O. Lisnichenko, Stanislav I. Protasov
Quantum image representation: a review. Quantum Mach. Intell. 5 (1) (2023)
Haoran Liao, Ian Convy, Zhibo Yang, K. Birgitta Whaley
Decohering tensor network quantum machine learning models. Quantum Mach. Intell. 5 (1) (2023)
Sanjaya Lohani, Sangita Regmi, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
Dimension-adaptive machine learning-based quantum state reconstruction. Quantum Mach. Intell. 5 (1) (2023)
Konstantinos Meichanetzidis, Alexis Toumi, Giovanni de Felice, Bob Coecke
Grammar-aware sentence classification on quantum computers. Quantum Mach. Intell. 5 (1) (2023)
Kai Schärer, Marco Comuzzi
The quantum threat to blockchain: summary and timeline analysis. Quantum Mach. Intell. 5 (1) (2023)
Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski
Feature selection on quantum computers. Quantum Mach. Intell. 5 (1) (2023)
Francesco Di Marcantonio, Massimiliano Incudini, Davide Tezza, Michele Grossi
Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning. Quantum Mach. Intell. 5 (1) (2023)
André Sequeira, Luís Paulo Santos, Luís Soares Barbosa
Policy gradients using variational quantum circuits. Quantum Mach. Intell. 5 (1) (2023)
Tulika Dutta, Siddhartha Bhattacharyya, Bijaya Ketan Panigrahi, Ivan Zelinka, Leo Mrsic
Multi-level quantum inspired metaheuristics for automatic clustering of hyperspectral images. Quantum Mach. Intell. 5 (1) (2023)
E. Ghasemian
Stationary states of a dissipative two-qubit quantum channel and their applications for quantum machine learning. Quantum Mach. Intell. 5 (1) (2023)
Haimeng Zhao
Non-IID quantum federated learning with one-shot communication complexity. Quantum Mach. Intell. 5 (1) (2023)
Duarte Magano, Lorenzo Buffoni, Yasser Omar
Quantum density peak clustering. Quantum Mach. Intell. 5 (1) (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) (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) (2023)

volume 5, number 2, 2023

volume 4, number 2, 2022