• 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 29 matches

• 2021
• 
  Sarin Abraham, M. Punniyamoorthy:
  A fuzzy approach using asymmetrical triangular distribution in a two-person zero-sum game for a multi-criteria decision-making problem. Quantum Mach. Intell. 3(2): 1-24 (2021)
• 
  Leonardo Alchieri, Davide Badalotti, Pietro Bonardi, Simone Bianco:
  An introduction to quantum machine learning: from quantum logic to quantum deep learning. Quantum Mach. Intell. 3(2): 1-30 (2021)
• 
  Gideon Bass, Maxwell Henderson, Joshua Heath, Joseph Dulny III:
  Optimizing the optimizer: decomposition techniques for quantum annealing. Quantum Mach. Intell. 3(1): 1-14 (2021)
• 
  Johannes Bausch, Sathyawageeswar Subramanian, Stephen Piddock:
  A quantum search decoder for natural language processing. Quantum Mach. Intell. 3(1): 1-24 (2021)
• 
  Matthias C. Caro:
  Binary classification with classical instances and quantum labels. Quantum Mach. Intell. 3(1): 1-24 (2021)
• 
  Hongxiang Chen, Leonard Wossnig, Simone Severini, Hartmut Neven, Masoud Mohseni:
  Universal discriminative quantum neural networks. Quantum Mach. Intell. 3(1): 1-11 (2021)
• 
  Claudio Conti:
  Training Gaussian boson sampling by quantum machine learning. Quantum Mach. Intell. 3(2): 1-8 (2021)
• 
  Arne Hamann, Vedran Dunjko, Sabine Wölk:
  Quantum-accessible reinforcement learning beyond strictly epochal environments. Quantum Mach. Intell. 3(2): 1-18 (2021)
• 
  Maxwell P. Henderson, Jarred Gallina, Michael T. Brett:
  Methods for accelerating geospatial data processing using quantum computers. Quantum Mach. Intell. 3(1): 1-9 (2021)
• 
  Thomas Hubregtsen, Josef Pichlmeier, Patrick Stecher, Koen Bertels:
  Evaluation of parameterized quantum circuits: on the relation between classification accuracy, expressibility, and entangling capability. Quantum Mach. Intell. 3(1): 1-19 (2021)
• 
  Rasoul Kheiri:
  A projective simulation scheme for partially observable multi-agent systems. Quantum Mach. Intell. 3(1): 1-16 (2021)
• 
  Viraj Kulkarni, Milind Kulkarni, Aniruddha Pant:
  Quantum computing methods for supervised learning. Quantum Mach. Intell. 3(2): 1-14 (2021)
• 
  Gawel I. Kus, Sybrand van der Zwaag, Miguel A. Bessa:
  Sparse quantum Gaussian processes to counter the curse of dimensionality. Quantum Mach. Intell. 3(1): 1-12 (2021)
• 
  Vicente Leyton-Ortega, Alejandro Perdomo-Ortiz, Oscar J. Perdomo:
  Robust implementation of generative modeling with parametrized quantum circuits. Quantum Mach. Intell. 3(1): 1-10 (2021)
• 
  Riccardo Mengoni, Massimiliano Incudini, Alessandra Di Pierro:
  Facial expression recognition on a quantum computer. Quantum Mach. Intell. 3(1): 1-11 (2021)
• 
  Davide Pastorello, Enrico Blanzieri, Valter Cavecchia:
  Learning adiabatic quantum algorithms over optimization problems. Quantum Mach. Intell. 3(1): 1-19 (2021)
• 
  Mohammad Pirhooshyaran, Tamás Terlaky:
  Quantum circuit design search. Quantum Mach. Intell. 3(2): 1-14 (2021)
• 
  Seyran Saeedi, Aliakbar Panahi, Tom Arodz:
  Quantum semi-supervised kernel learning. Quantum Mach. Intell. 3(2): 1-11 (2021)
• 
  Ilaria Siloi, Virginia Carnevali, Bibek Pokharel, Marco Fornari, Rosa Di Felice:
  Investigating the Chinese postman problem on a quantum annealer. Quantum Mach. Intell. 3(1): 1-10 (2021)
• 
  Andrea Skolik, Jarrod R. McClean, Masoud Mohseni, Patrick van der Smagt, Martin Leib:
  Layerwise learning for quantum neural networks. Quantum Mach. Intell. 3(1): 1-11 (2021)
• 
  Cenk Tüysüz, Carla Rieger, Kristiane Novotny, Bilge Demirköz, Daniel Dobos, Karolos Potamianos, Sofia Vallecorsa, Jean-Roch Vlimant, Richard Forster:
  Hybrid quantum classical graph neural networks for particle track reconstruction. Quantum Mach. Intell. 3(2): 1-20 (2021)
• 
  Max Wilson, Rachel Stromswold, Filip A. Wudarski, Stuart Hadfield, Norm M. Tubman, Eleanor Gilbert Rieffel:
  Optimizing quantum heuristics with meta-learning. Quantum Mach. Intell. 3(1): 1-14 (2021)
• 
  Max Wilson, Thomas Vandal, Tad Hogg, Eleanor Gilbert Rieffel:
  Quantum-assisted associative adversarial network: applying quantum annealing in deep learning. Quantum Mach. Intell. 3(2): 1-14 (2021)
• 
  Sheir Yarkoni, Andrii Kleshchonok, Yury Dzerin, Florian Neukart, Marc Hilbert:
  Semi-supervised time series classification method for quantum computing. Quantum Mach. Intell. 3(1): 1-11 (2021)
• 
  Zhikuan Zhao, Jack K. Fitzsimons, Patrick Rebentrost, Vedran Dunjko, Joseph F. Fitzsimons:
  Smooth input preparation for quantum and quantum-inspired machine learning. Quantum Mach. Intell. 3(1): 1-6 (2021)
• 
  Chen Zhao, Xiao-Shan Gao:
  QDNN: deep neural networks with quantum layers. Quantum Mach. Intell. 3(1): 1-9 (2021)
• 
  Liming Zhao, Zhikuan Zhao, Patrick Rebentrost, Joseph F. Fitzsimons:
  Compiling basic linear algebra subroutines for quantum computers. Quantum Mach. Intell. 3(2): 1-10 (2021)
• 
  Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant, Javier M. Duarte, Joshua Job, Daniel A. Lidar, Maria Spiropulu:
  Charged particle tracking with quantum annealing optimization. Quantum Mach. Intell. 3(2): 1-11 (2021)
• 
  Christa Zoufal, Aurélien Lucchi, Stefan Woerner:
  Variational quantum Boltzmann machines. Quantum Mach. Intell. 3(1): 1-15 (2021)