• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 86 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)
• 
  Anna Bernasconi, Alessandro Berti, Gianna M. Del Corso, Riccardo Guidotti, Alessandro Poggiali:
  Quantum subroutine for variance estimation: algorithmic design and applications. Quantum Mach. Intell. 6(2): 78 (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)
• 
  Nicolò Bonaldi, Martina Rossi, Daniele Mattioli, Michele Grapulin, Blanca Silva Fernández, Davide Caputo, Marco Magagnini, Arianna Osti, Fabio Veronese:
  Boost clustering with Gaussian Boson Sampling: a quantum-classical hybrid approach. Quantum Mach. Intell. 6(2): 65 (2024)
• 
  Nicolò Bonaldi, Martina Rossi, Daniele Mattioli, Michele Grapulin, Blanca Silva Fernández, Davide Caputo, Marco Magagnini, Arianna Osti, Fabio Veronese:
  Publisher Correction: Boost clustering with Gaussian Boson Sampling: a quantum-classical hybrid approach. Quantum Mach. Intell. 6(2): 87 (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)
• 
  Emmanuel Zambrini Cruzeiro, Christine De Mol, Serge Massar, Stefano Pironio:
  Quantum-inspired classification based on quantum state discrimination. Quantum Mach. Intell. 6(2): 79 (2024)
• 
  Manuel P. Cuéllar:
  What we can do with one qubit in quantum machine learning: ten classical machine learning problems that can be solved with a single qubit. Quantum Mach. Intell. 6(2): 76 (2024)
• 
  Sreetama Das, Stefano Martina, Filippo Caruso:
  The role of data embedding in equivariant quantum convolutional neural networks. Quantum Mach. Intell. 6(2): 82 (2024)
• 
  Alexander Diedrich, Stefan Windmann, Oliver Niggemann:
  Solving industrial fault diagnosis problems with quantum computers. Quantum Mach. Intell. 6(2): 66 (2024)
• 
  Sebastian Egginger, Alona Sakhnenko, Jeanette Miriam Lorenz:
  A hyperparameter study for quantum kernel methods. Quantum Mach. Intell. 6(2): 44 (2024)
• 
  Francesca De Falco, Andrea Ceschini, Alessandro Sebastianelli, Bertrand Le Saux, Massimo Panella:
  Quantum latent diffusion models. Quantum Mach. Intell. 6(2): 85 (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)
• 
  Kaitlin Gili, Guillermo Alonso, Maria Schuld:
  An inductive bias from quantum mechanics: learning order effects with non-commuting measurements. Quantum Mach. Intell. 6(2): 67 (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)

skipping 56 more matches