Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines

12 December 2017

Song Cheng

Papers citing "Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines"

20 / 20 papers shown

Title
Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance Santanu Ganguly GAN 48 2 0 15 Aug 2023
Generative Invertible Quantum Neural Networks Armand Rousselot M. Spannowsky BDL 21 9 0 24 Feb 2023
Deep tensor networks with matrix product operators Bojan Žunkovič 72 4 0 16 Sep 2022
Bayesian Learning of Parameterised Quantum Circuits Samuel Duffield Marcello Benedetti Matthias Rosenkranz 22 11 0 15 Jun 2022
Generative modeling with projected entangled-pair states Tom Vieijra L. Vanderstraeten F. Verstraete 56 19 0 16 Feb 2022
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 22 11 0 08 Oct 2021
Tensor networks for unsupervised machine learning Jing Liu Sujie Li Jiang Zhang Pan Zhang SSL 25 25 0 24 Jun 2021
Tensor networks and efficient descriptions of classical data Sirui Lu Márton Kanász-Nagy I. Kukuljan J. I. Cirac 24 24 0 11 Mar 2021
Supervised quantum machine learning models are kernel methods Maria Schuld 34 359 0 26 Jan 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 114 390 0 21 Jan 2021
Estimating expectation values using approximate quantum states M. Paini A. Kalev Dan Padilha Brendan Ruck 32 28 0 09 Nov 2020
Quantum versus Classical Generative Modelling in Finance Brian Coyle Maxwell P. Henderson Justin Chan Jin Le N. Kumar M. Paini E. Kashefi 22 59 0 03 Aug 2020
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning I. Glasser R. Sweke Nicola Pancotti Jens Eisert J. I. Cirac 33 123 0 08 Jul 2019
Parameterized quantum circuits as machine learning models Marcello Benedetti Erika Lloyd Stefan H. Sack Mattia Fiorentini 27 870 0 18 Jun 2019
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine Brian Coyle Daniel Mills V. Danos E. Kashefi 27 155 0 03 Apr 2019
Tree Tensor Networks for Generative Modeling Song Cheng Lei Wang Tao Xiang Pan Zhang 21 129 0 08 Jan 2019
Learning and Inference on Generative Adversarial Quantum Circuits J. Zeng Y. Wu Jin-Guo Liu Lei Wang Jiangping Hu GAN 35 75 0 10 Aug 2018
From probabilistic graphical models to generalized tensor networks for supervised learning I. Glasser Nicola Pancotti J. I. Cirac AI4CE 69 75 0 15 Jun 2018
Differentiable Learning of Quantum Circuit Born Machine Jin-Guo Liu Lei Wang 27 230 0 11 Apr 2018
Towards Quantum Machine Learning with Tensor Networks W. Huggins P. Patil K. B. Whaley E. Stoudenmire 25 342 0 30 Mar 2018