The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine

3 April 2019

Papers citing "The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine"

24 / 24 papers shown

Title
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey Bikram Khanal Pablo Rivas Arun Sanjel Korn Sooksatra Ernesto Quevedo Alejandro Rodriguez 28 2 0 11 Sep 2024
Tensor tree learns hidden relational structures in data to construct generative models Kenji Harada Tsuyoshi Okubo Naoki Kawashima 36 3 0 20 Aug 2024
Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset Alona Sakhnenko Julian Sikora J. M. Lorenz 39 0 0 10 Jun 2024
Learning shallow quantum circuits Hsin-Yuan Huang Yunchao Liu Michael Broughton Isaac Kim Anurag Anshu Zeph Landau Jarrod R. McClean 32 26 0 18 Jan 2024
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing M. Cerezo Martín Larocca Diego García-Martín N. L. Diaz Paolo Braccia ... Pablo Bermejo Aroosa Ijaz Supanut Thanasilp Eric R. Anschuetz Zoë Holmes 43 128 0 14 Dec 2023
Learning Quantum Processes with Quantum Statistical Queries Chirag Wadhwa Mina Doosti 45 3 0 03 Oct 2023
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning Yize Sun Yunpu Ma Volker Tresp 28 10 0 19 Sep 2023
Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance Santanu Ganguly GAN 48 2 0 15 Aug 2023
Understanding quantum machine learning also requires rethinking generalization Elies Gil-Fuster Jens Eisert Carlos Bravo-Prieto 32 45 0 23 Jun 2023
A survey on the complexity of learning quantum states Anurag Anshu Srinivasan Arunachalam 34 66 0 31 May 2023
On the average-case complexity of learning output distributions of quantum circuits A. Nietner M. Ioannou R. Sweke R. Kueng Jens Eisert M. Hinsche J. Haferkamp 26 11 0 09 May 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
MARS: Meta-Learning as Score Matching in the Function Space Krunoslav Lehman Pavasovic Jonas Rothfuss Andreas Krause BDL 30 4 0 24 Oct 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
Generalization Metrics for Practical Quantum Advantage in Generative Models Kaitlin Gili M. Mauri A. Perdomo-Ortiz 38 7 0 21 Jan 2022
Learnability of the output distributions of local quantum circuits M. Hinsche M. Ioannou A. Nietner J. Haferkamp Yihui Quek D. Hangleiter Jean-Pierre Seifert Jens Eisert R. Sweke 35 17 0 11 Oct 2021
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
Towards understanding the power of quantum kernels in the NISQ era Xinbiao Wang Yuxuan Du Yong Luo Dacheng Tao 35 68 0 31 Mar 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
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
Parameterized quantum circuits as machine learning models Marcello Benedetti Erika Lloyd Stefan H. Sack Mattia Fiorentini 27 869 0 18 Jun 2019