• 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 30 matches

• 2022
• 
  Mikel Garcia de Andoin, Javier Echanobe:
  Implementable hybrid quantum ant colony optimization algorithm. Quantum Mach. Intell. 4(2): 1-14 (2022)
• 
  Amine Assouel, Antoine Jacquier, Alexei Kondratyev:
  A quantum generative adversarial network for distributions. Quantum Mach. Intell. 4(2): 1-19 (2022)
• 
  Vanda Azevedo, Carla Silva, Inês Dutra:
  Quantum transfer learning for breast cancer detection. Quantum Mach. Intell. 4(1) (2022)
• 
  Armando Bellante, Alessandro Luongo, Stefano Zanero:
  Quantum algorithms for SVD-based data representation and analysis. Quantum Mach. Intell. 4(2): 1-23 (2022)
• 
  Ieva Cepaite, Brian Coyle, Elham Kashefi:
  A continuous variable Born machine. Quantum Mach. Intell. 4(1) (2022)
• 
  Songsong Dai:
  Quantum information distance based on classical descriptions. Quantum Mach. Intell. 4(1) (2022)
• 
  Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz:
  A hybrid quantum image edge detector for the NISQ era. Quantum Mach. Intell. 4(2): 1-16 (2022)
• 
  Fabio A. González, Joseph Alejandro Gallego, Santiago Toledo-Cortés, Vladimir Vargas-Calderón:
  Learning with density matrices and random features. Quantum Mach. Intell. 4(2): 1-17 (2022)
• 
  Aikaterini Gratsea, Patrick Huembeli:
  Exploring quantum perceptron and quantum neural network structures with a teacher-student scheme. Quantum Mach. Intell. 4(1) (2022)
• 
  Kathleen E. Hamilton, Emily Lynn, Raphael C. Pooser:
  Mode connectivity in the loss landscape of parameterized quantum circuits. Quantum Mach. Intell. 4(1): 1-14 (2022)
• 
  Patrick Huembeli, Juan Miguel Arrazola, Nathan Killoran, Masoud Mohseni, Peter Wittek:
  The physics of energy-based models. Quantum Mach. Intell. 4(1) (2022)
• 
  Tak Hur, Leeseok Kim, Daniel K. Park:
  Quantum convolutional neural network for classical data classification. Quantum Mach. Intell. 4(1) (2022)
• 
  Massimiliano Incudini, Fabio Tarocco, Riccardo Mengoni, Alessandra Di Pierro, Antonio Mandarino:
  Computing graph edit distance on quantum devices. Quantum Mach. Intell. 4(2): 1-21 (2022)
• 
  Masahiro Kobayashi, Kouhei Nakaji, Naoki Yamamoto:
  Overfitting in quantum machine learning and entangling dropout. Quantum Mach. Intell. 4(2): 1-9 (2022)
• 
  Ryan LaRose, Eleanor Gilbert Rieffel, Davide Venturelli:
  Mixer-phaser Ansätze for quantum optimization with hard constraints. Quantum Mach. Intell. 4(2): 1-9 (2022)
• 
  Ryan LaRose, Eleanor Riefel, Davide Venturelli:
  Correction to: Mixer‑phaser ansätze for quantum optimization with hard constraints. Quantum Mach. Intell. 4(2): 1 (2022)
• 
  Stefano Mangini, Alessia Marruzzo, Marco Piantanida, Dario Gerace, Daniele Bajoni, Chiara Macchiavello:
  Quantum neural network autoencoder and classifier applied to an industrial case study. Quantum Mach. Intell. 4(2): 1-13 (2022)
• 
  Stefano Martina, Lorenzo Buffoni, Stefano Gherardini, Filippo Caruso:
  Learning the noise fingerprint of quantum devices. Quantum Mach. Intell. 4(1) (2022)
• 
  Koji Nagata, Do Ngoc Diep, Tadao Nakamura:
  Computational complexity in high-dimensional quantum computing. Quantum Mach. Intell. 4(2): 1-8 (2022)
• 
  Taisei Nohara, Satoshi Oyama, Itsuki Noda:
  Pairwise classification using quantum support vector machine with Kronecker kernel. Quantum Mach. Intell. 4(2): 1-13 (2022)
• 
  Niklas Pirnay, Anna Pappa, Jean-Pierre Seifert:
  Learning classical readout quantum PUFs based on single-qubit gates. Quantum Mach. Intell. 4(2): 1-10 (2022)
• 
  Nicola Dalla Pozza, Lorenzo Buffoni, Stefano Martina, Filippo Caruso:
  Quantum reinforcement learning: the maze problem. Quantum Mach. Intell. 4(2): 1-10 (2022)
• 
  Martina Rossi, Luca Asproni, Davide Caputo, Stefano Rossi, Alice Cusinato, Remo Marini, Andrea Agosti, Marco Magagnini:
  Using Shor's algorithm on near term Quantum computers: a reduced version. Quantum Mach. Intell. 4(2): 1-10 (2022)
• 
  Alona Sakhnenko, Corey O'Meara, Kumar Jang Bahadur Ghosh, Christian B. Mendl, Giorgio Cortiana, Juan Bernabé-Moreno:
  Hybrid classical-quantum autoencoder for anomaly detection. Quantum Mach. Intell. 4(2): 1-17 (2022)
• 
  Behrooz Sepehry, Ehsan Iranmanesh, Michael P. Friedlander, Pooya Ronagh:
  Quantum algorithms for structured prediction. Quantum Mach. Intell. 4(2): 1-25 (2022)
• 
  Prem Kumar Singh:
  Bipolar fuzzy attribute implications. Quantum Mach. Intell. 4(1) (2022)
• 
  Leila Taghavi:
  Simplified quantum algorithm for the oracle identification problem. Quantum Mach. Intell. 4(2): 1-7 (2022)
• 
  Vladimir Vargas-Calderón, Fabio A. González, Herbert Vinck-Posada:
  Optimisation-free density estimation and classification with quantum circuits. Quantum Mach. Intell. 4(2): 1-9 (2022)
• 
  Yabin Zhang, David J. Gorsich, Paramsothy Jayakumar, Shravan K. Veerapaneni:
  Continuous-variable optimization with neural network quantum states. Quantum Mach. Intell. 4(1): 1-8 (2022)
• 
  Bojan Zunkovic:
  Deep tensor networks with matrix product operators. Quantum Mach. Intell. 4(2): 1-12 (2022)