Differentiable Learning of Quantum Circuit Born Machine

11 April 2018

Lei Wang

Papers citing "Differentiable Learning of Quantum Circuit Born Machine"

33 / 33 papers shown

Title
Quantum Generative Models for Image Generation: Insights from MNIST and MedMNIST Chi-Sheng Chen Wei An Hou Siang-Wei Hu Zhen-Sheng Cai VLM 72 0 0 30 Mar 2025
Tensor tree learns hidden relational structures in data to construct generative models Kenji Harada Tsuyoshi Okubo Naoki Kawashima 39 3 0 20 Aug 2024
Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models Shailendra Bhandari P. Lencastre Pedro G. Lind GAN 18 0 0 01 Aug 2024
Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks Koki Chinzei Shinichiro Yamano Quoc-Hoan Tran Yasuhiro Endo H. Oshima 60 2 0 26 Jun 2024
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation Mohammad Junayed Hasan M.R.C. Mahdy 23 1 0 23 Nov 2023
Hierarchical Learning for Quantum ML: Novel Training Technique for Large-Scale Variational Quantum Circuits H. Gharibyan Vincent Su Hayk H. Tepanyan 50 1 0 21 Nov 2023
Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance Santanu Ganguly GAN 48 2 0 15 Aug 2023
A supplemental investigation of non-linearity in quantum generative models with respect to simulatability and optimization Kaitlin Gili Rohan S. Kumar Mykolas Sveistrys C. Ballance 34 3 0 01 Feb 2023
Evolutionary Quantum Architecture Search for Parametrized Quantum Circuits Lidong Ding Lee Spector 21 15 0 23 Aug 2022
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets Charles Moussa Jan N. van Rijn Thomas Bäck Vedran Dunjko 24 12 0 20 Jun 2022
Bayesian Learning of Parameterised Quantum Circuits Samuel Duffield Marcello Benedetti Matthias Rosenkranz 19 11 0 15 Jun 2022
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 26 81 0 07 Jun 2022
Introducing Non-Linear Activations into Quantum Generative Models Kaitlin Gili Mykolas Sveistrys C. Ballance 14 10 0 28 May 2022
Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines I. Nikoloska Osvaldo Simeone AI4CE 11 3 0 31 Mar 2022
High Dimensional Quantum Machine Learning With Small Quantum Computers Simon Marshall Casper Gyurik Vedran Dunjko 16 28 0 25 Mar 2022
Generalization Metrics for Practical Quantum Advantage in Generative Models Kaitlin Gili M. Mauri A. Perdomo-Ortiz 38 7 0 21 Jan 2022
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 20 11 0 08 Oct 2021
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks Jun Qi Chao-Han Huck Yang Pin-Yu Chen 29 44 0 06 Oct 2021
Recent advances for quantum classifiers Weikang Li D. Deng AAML 36 84 0 30 Aug 2021
Parametrized quantum policies for reinforcement learning Sofiene Jerbi Casper Gyurik Simon Marshall H. Briegel Vedran Dunjko 42 103 0 09 Mar 2021
Universal Adversarial Examples and Perturbations for Quantum Classifiers Weiyuan Gong D. Deng AAML 32 23 0 15 Feb 2021
Supervised quantum machine learning models are kernel methods Maria Schuld 22 359 0 26 Jan 2021
Learning quantum data with the quantum Earth Mover's distance B. Kiani Giacomo De Palma M. Marvian Zi-Wen Liu S. Lloyd 21 45 0 08 Jan 2021
A rigorous and robust quantum speed-up in supervised machine learning Yunchao Liu Srinivasan Arunachalam K. Temme 27 527 0 05 Oct 2020
On the Quantum versus Classical Learnability of Discrete Distributions R. Sweke Jean-Pierre Seifert D. Hangleiter Jens Eisert 30 92 0 28 Jul 2020
Robust data encodings for quantum classifiers Ryan Larose Brian Coyle 19 238 0 03 Mar 2020
Information Scrambling in Quantum Neural Networks Huitao Shen Pengfei Zhang Yi-Zhuang You H. Zhai GNN 9 46 0 26 Sep 2019
Parameterized quantum circuits as machine learning models Marcello Benedetti Erika Lloyd Stefan H. Sack Mattia Fiorentini 27 869 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
The Expressive Power of Parameterized Quantum Circuits Yuxuan Du Min-hsiu Hsieh Tongliang Liu Dacheng Tao 15 92 0 29 Oct 2018
Learning and Inference on Generative Adversarial Quantum Circuits J. Zeng Y. Wu Jin-Guo Liu Lei Wang Jiangping Hu GAN 27 75 0 10 Aug 2018
Towards Quantum Machine Learning with Tensor Networks W. Huggins P. Patil K. B. Whaley E. Stoudenmire 14 341 0 30 Mar 2018
Entanglement-guided architectures of machine learning by quantum tensor network Yuhan Liu Xiao Zhang M. Lewenstein Shi-Ju Ran 23 32 0 24 Mar 2018