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"

44 / 44 papers shown

Title
TabularQGAN: A Quantum Generative Model for Tabular Data Pallavi Bhardwaj Caitlin Jones Lasse Dierich Aleksandar Vučković 122 0 0 28 May 2025
Training-efficient density quantum machine learning Brian Coyle El Amine Cherrat Nishant Jain Natansh Mathur Snehal Raj Skander Kazdaghli Iordanis Kerenidis 309 9 0 30 May 2024
A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance Yunfei Wang Sergii Strelchuk 228 74 0 21 Jan 2024
Tensor networks for interpretable and efficient quantum-inspired machine learning Shirli Ran Gang Su 211 14 0 19 Nov 2023
Generative Learning of Continuous Data by Tensor NetworksSciPost Physics (SciPost Phys.), 2023 Alex Meiburg Jing Chen Jacob Miller Raphaëlle Tihon Guillaume Rabusseau A. Perdomo-Ortiz 190 7 0 31 Oct 2023
Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance Santanu Ganguly GAN 212 4 0 15 Aug 2023
A Conceptual Architecture for a Quantum-HPC Middleware Nishant Saurabh S. Jha André Luckow 130 38 0 12 Aug 2023
Application-Oriented Benchmarking of Quantum Generative Learning Using QUARKInternational Conference on Quantum Computing and Engineering (QCE), 2023 Florian J. Kiwit M. Marso Philipp Ross Carlos A. Riofrío Johannes Klepsch André Luckow 200 11 0 08 Aug 2023
Distributive Pre-Training of Generative Modeling Using Matrix-Product States Sheng-Hsuan Lin Olivier Kuijpers S. Peterhansl F. Pollmann 149 2 0 26 Jun 2023
Trainability barriers and opportunities in quantum generative modelingnpj Quantum Information (NQI), 2023 Manuel S. Rudolph S. Lerch Supanut Thanasilp Oriel Kiss S. Vallecorsa Michele Grossi Zoë Holmes 150 48 0 04 May 2023
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum EntanglementNeural Information Processing Systems (NeurIPS), 2023 Yotam Alexander Nimrod De La Vega Noam Razin Nadav Cohen 257 6 0 20 Mar 2023
Generative Invertible Quantum Neural NetworksSciPost Physics (SciPost Phys.), 2023 Armand Rousselot M. Spannowsky BDL 203 9 0 24 Feb 2023
Sample-efficient Quantum Born Machine through Coding Rate Reduction Pengyuan Zhai 130 0 0 14 Nov 2022
Deep tensor networks with matrix product operatorsQuantum Machine Intelligence (QMI), 2022 Bojan Žunkovič 162 6 0 16 Sep 2022
Many-body localized hidden generative modelsPhysical Review Research (Phys. Rev. Res.), 2022 Weishun Zhong Xun Gao S. Yelin K. Najafi DRL AI4CE 130 2 0 05 Jul 2022
Bayesian Learning of Parameterised Quantum Circuits Samuel Duffield Marcello Benedetti Matthias Rosenkranz 146 16 0 15 Jun 2022
Generative modeling with projected entangled-pair states Tom Vieijra L. Vanderstraeten F. Verstraete 124 23 0 16 Feb 2022
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 207 11 0 08 Oct 2021
Quantum Machine Learning for Finance Marco Pistoia Syed Farhan Ahmad Akshay Ajagekar A. Buts Shouvanik Chakrabarti ... Pierre Minssen Pradeep Niroula Arthur G. Rattew Yue Sun Romina Yalovetzky AIFin 157 22 0 09 Sep 2021
Non-parametric Semi-Supervised Learning in Many-body Hilbert Space with Rescaled Logarithmic Fidelity Wei-Ming Li Shi-Ju Ran 205 2 0 01 Jul 2021
Tensor networks for unsupervised machine learning Jing Liu Sujie Li Jiang Zhang Pan Zhang SSL 233 29 0 24 Jun 2021
Tensor networks and efficient descriptions of classical data Sirui Lu Márton Kanász-Nagy I. Kukuljan J. I. Cirac 114 32 0 11 Mar 2021
Variational inference with a quantum computerPhysical Review Applied (Phys. Rev. Appl.), 2021 Marcello Benedetti Brian Coyle Mattia Fiorentini M. Lubasch Matthias Rosenkranz BDL 305 44 0 11 Mar 2021
Matching Point Sets with Quantum Circuit LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 Mohammadreza Noormandipour Hanchen Wang 3DPC 105 11 0 12 Feb 2021
Supervised quantum machine learning models are kernel methods Maria Schuld 365 444 0 26 Jan 2021
Noisy intermediate-scale quantum (NISQ) algorithmsReviews of Modern Physics (RMP), 2021 Kishor Bharti Alba Cervera-Lierta T. Kyaw Tobias Haug Sumner Alperin-Lea ... Tim Menke Wai-Keong Mok Sukin Sim L. Kwek Alán Aspuru-Guzik 321 441 0 21 Jan 2021
Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification Fanjie Kong Xiao-Yang Liu Ricardo Henao 116 13 0 08 Jan 2021
Estimating expectation values using approximate quantum states M. Paini A. Kalev Dan Padilha Brendan Ruck 230 31 0 09 Nov 2020
Supervised Learning with Projected Entangled Pair StatesPhysical review B (PRB), 2020 Song Cheng Lei Wang Pan Zhang 111 59 0 12 Sep 2020
Quantum versus Classical Generative Modelling in FinanceQuantum Science and Technology (QST), 2020 Brian Coyle Maxwell P. Henderson Justin Chan Jin Le N. Kumar M. Paini E. Kashefi 152 66 0 03 Aug 2020
Tangent-Space Gradient Optimization of Tensor Network for Machine LearningPhysical Review E (PRE), 2020 Zheng-Zhi Sun Shi-Ju Ran G. Su 97 15 0 10 Jan 2020
Bayesian Tensor Network with Polynomial Complexity for Probabilistic Machine Learning Shi-Ju Ran 107 6 0 30 Dec 2019
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learningNeural Information Processing Systems (NeurIPS), 2019 I. Glasser R. Sweke Nicola Pancotti Jens Eisert J. I. Cirac 207 136 0 08 Jul 2019
Parameterized quantum circuits as machine learning modelsQuantum Science and Technology (QST), 2019 Marcello Benedetti Erika Lloyd Stefan H. Sack Mattia Fiorentini 376 1,047 0 18 Jun 2019
Compressing deep neural networks by matrix product operators Ze-Feng Gao Song Cheng Rong-Qiang He Z. Xie Hui-Hai Zhao Zhong-Yi Lu Tao Xiang 136 41 0 11 Apr 2019
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine Brian Coyle Daniel Mills V. Danos E. Kashefi 413 170 0 03 Apr 2019
Generative Tensor Network Classification Model for Supervised Machine Learning Zheng-Zhi Sun C. Peng Ding Liu Shi-Ju Ran G. Su 94 48 0 26 Mar 2019
Tree Tensor Networks for Generative Modeling Song Cheng Lei Wang Tao Xiang Pan Zhang 170 140 0 08 Jan 2019
Learning and Inference on Generative Adversarial Quantum Circuits J. Zeng Y. Wu Jin-Guo Liu Lei Wang Jiangping Hu GAN 180 82 0 10 Aug 2018
From probabilistic graphical models to generalized tensor networks for supervised learning I. Glasser Nicola Pancotti J. I. Cirac AI4CE 199 80 0 15 Jun 2018
Adversarial quantum circuit learning for pure state approximation Marcello Benedetti Edward Grant Leonard Wossnig Simone Severini 244 79 0 01 Jun 2018
Differentiable Learning of Quantum Circuit Born Machine Jin-Guo Liu Lei Wang 252 265 0 11 Apr 2018
Towards Quantum Machine Learning with Tensor Networks W. Huggins P. Patil K. B. Whaley E. Stoudenmire 232 366 0 30 Mar 2018
A high-bias, low-variance introduction to Machine Learning for physicists Pankaj Mehta Marin Bukov Ching-Hao Wang A. G. Day C. Richardson Charles K. Fisher D. Schwab AI4CE 323 929 0 23 Mar 2018