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Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models

8 September 2016

Papers citing "Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models"

21 / 21 papers shown

Title
Quantum thermodynamics and semi-definite optimization Nana Liu Michele Minervini Dhrumil Patel Mark M. Wilde 83 0 0 07 May 2025
Training an Ising Machine with Equilibrium Propagation Jérémie Laydevant Danijela Marković Julie Grollier 91 34 0 22 May 2023
Recent Advances for Quantum Neural Networks in Generative Learning Jinkai Tian Xiaoyun Sun Yuxuan Du Shanshan Zhao Qing Liu ... Xingyao Wu Min-hsiu Hsieh Tongliang Liu Wen-Bin Yang Dacheng Tao AI4CE 98 85 0 07 Jun 2022
High-quality Thermal Gibbs Sampling with Quantum Annealing Hardware J. Nelson Marc Vuffray A. Lokhov T. Albash Carleton Coffrin 60 25 0 03 Sep 2021
Non-parametric Semi-Supervised Learning in Many-body Hilbert Space with Rescaled Logarithmic Fidelity Wei-Ming Li Shi-Ju Ran 66 2 0 01 Jul 2021
Assessment of image generation by quantum annealer Takehito Sato Masayuki Ohzeki Kazuyuki Tanaka 39 16 0 15 Mar 2021
Variational inference with a quantum computer Marcello Benedetti Brian Coyle Mattia Fiorentini M. Lubasch Matthias Rosenkranz BDL 83 38 0 11 Mar 2021
Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines Aidan Kehoe P. Wittek Yanbo Xue Alejandro Pozas-Kerstjens AAML 82 7 0 21 Dec 2020
The prospects of quantum computing in computational molecular biology C. Outeiral M. Strahm Jiye Shi Garrett M. Morris S. Benjamin Charlotte M. Deane 85 184 0 26 May 2020
Quantum machine learning and quantum biomimetics: A perspective L. Lamata AI4CE 94 57 0 25 Apr 2020
Quantum Semantic Learning by Reverse Annealing an Adiabatic Quantum Computer Lorenzo Rocutto C. Destri E. Prati AI4CE 16 21 0 25 Mar 2020
Quantum-inspired annealers as Boltzmann generators for machine learning and statistical physics Alexander Ulanov E. Tiunov A. Lvovsky AI4CE 47 7 0 18 Dec 2019
Comparison of D-Wave Quantum Annealing and Classical Simulated Annealing for Local Minima Determination Y. Koshka Mark A. Novotny 38 29 0 08 Nov 2019
Efficient training of energy-based models via spin-glass control S. Al-Fedaghi Gorka Muñoz-Gil Eloy Piñol Miguel Ángel García-March A. Acín Maciej Lewenstein Przemysław R. Grzybowski 35 8 0 03 Oct 2019
Information Scrambling in Quantum Neural Networks Huitao Shen Pengfei Zhang Yi-Zhuang You H. Zhai GNN 64 47 0 26 Sep 2019
Generative training of quantum Boltzmann machines with hidden units N. Wiebe Leonard Wossnig 57 35 0 23 May 2019
Towards Sampling from Nondirected Probabilistic Graphical models using a D-Wave Quantum Annealer Y. Koshka Mark A. Novotny 27 11 0 01 May 2019
Quantum-assisted associative adversarial network: Applying quantum annealing in deep learning M. Wilson T. Vandal Tad Hogg E. Rieffel GAN BDL 64 36 0 23 Apr 2019
Measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti quantum computer Julio Olivares-Sánchez J. Casanova Enrique Solano L. Lamata 67 38 0 19 Nov 2018
The Expressive Power of Parameterized Quantum Circuits Yuxuan Du Min-hsiu Hsieh Tongliang Liu Dacheng Tao 84 93 0 29 Oct 2018
Differentiable Learning of Quantum Circuit Born Machine Jin-Guo Liu Lei Wang 118 233 0 11 Apr 2018