Bayesian Network Structure Learning Using Quantum Annealing

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Bayesian Network Structure Learning Using Quantum Annealing

15 July 2014

A. Perdomo-Ortiz

Alán Aspuru-Guzik

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Papers citing "Bayesian Network Structure Learning Using Quantum Annealing"

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Title
QUBO-inspired Molecular Fingerprint for Chemical Property Prediction K. Yawata Yoshihiro Osakabe Takuya Okuyama A. Asahara 48 0 0 17 Mar 2023
QUBO Decision Tree: Annealing Machine Extends Decision Tree Splitting K. Yawata Yoshihiro Osakabe Takuya Okuyama A. Asahara 39 4 0 17 Mar 2023
Quantum Approximate Optimization Algorithm for Bayesian network structure learning Vicente P. Soloviev C. Bielza P. Larrañaga 42 13 0 04 Mar 2022
Completely Quantum Neural Networks Steve Abel J. C. Criado M. Spannowsky 57 25 0 23 Feb 2022
Variational inference with a quantum computer Marcello Benedetti Brian Coyle Mattia Fiorentini M. Lubasch Matthias Rosenkranz BDL 83 38 0 11 Mar 2021
Noisy intermediate-scale quantum (NISQ) algorithms Kishor Bharti Alba Cervera-Lierta T. Kyaw Tobias Haug Sumner Alperin-Lea ... Tim Menke Wai-Keong Mok Sukin Sim L. Kwek Alán Aspuru-Guzik 198 398 0 21 Jan 2021
Statistical Analysis of Quantum Annealing Xinyu Song Yazhen Wang Shang Wu Donggyu Kim 25 0 0 18 Jan 2021
HNet: Graphical Hypergeometric Networks E. Taskesen 18 0 0 10 May 2020
Quantum adiabatic machine learning with zooming Alexander Zlokapa Alex Mott Joshua Job J. Vlimant Daniel A. Lidar M. Spiropulu AI4CE 30 9 0 13 Aug 2019
Bayesian Networks based Hybrid Quantum-Classical Machine Learning Approach to Elucidate Gene Regulatory Pathways R. Balu Ajinkya Borle 31 4 0 23 Jan 2019
$Machine learning \& artificial intelligence in the quantum domain$ Machine learning \& artificial intelligence in the quantum domain Vedran Dunjko Hans J. Briegel 91 347 0 08 Sep 2017
Quantum Machine Learning Jacob Biamonte P. Wittek Nicola Pancotti Patrick Rebentrost N. Wiebe S. Lloyd 135 2,058 0 28 Nov 2016
Quantum Enhanced Inference in Markov Logic Networks P. Wittek C. Gogolin LRM 62 28 0 24 Nov 2016
Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models Marcello Benedetti John Realpe-Gómez R. Biswas A. Perdomo-Ortiz 131 135 0 08 Sep 2016
Performance Models for Split-execution Computing Systems Travis S. Humble A. McCaskey Jonathan Schrock H. Seddiqi Keith A. Britt N. Imam LRM 30 6 0 05 Jul 2016