Exponentially Many Local Minima in Quantum Neural Networks

6 October 2021

Papers citing "Exponentially Many Local Minima in Quantum Neural Networks"

20 / 20 papers shown

Title
The effect of the number of parameters and the number of local feature patches on loss landscapes in distributed quantum neural networks Yoshiaki Kawase 73 0 0 27 Apr 2025
Trainable Quantum Neural Network for Multiclass Image Classification with the Power of Pre-trained Tree Tensor Networks Keisuke Murota Takumi Kobori 27 0 0 21 Apr 2025
Enhancing Circuit Trainability with Selective Gate Activation Strategy Jeihee Cho Junyong Lee Daniel Justice Shiho Kim 39 0 0 17 Mar 2025
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits Kaining Zhang Liu Liu Min-hsiu Hsieh Dacheng Tao 50 60 0 20 Feb 2025
Quantum automated learning with provable and explainable trainability Qi Ye Shuangyue Geng Zizhao Han Weikang Li L. Duan D. Deng 38 0 0 07 Feb 2025
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness Yang Qian Xinbiao Wang Yuxuan Du Yong Luo Dacheng Tao 26 0 0 27 Sep 2024
On the relation between trainability and dequantization of variational quantum learning models Elies Gil-Fuster Casper Gyurik Adrián Pérez-Salinas Vedran Dunjko 34 10 0 11 Jun 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 38 128 0 14 Dec 2023
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks Hao Zhang Chenghong Zhu M. Jing Xin Wang 26 4 0 26 Sep 2023
Expressive variational quantum circuits provide inherent privacy in federated learning Niraj Kumar Jamie Heredge Changhao Li Shaltiel Eloul Shree Hari Sureshbabu Marco Pistoia FedML 54 8 0 22 Sep 2023
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels Xuchen You Shouvanik Chakrabarti Boyang Chen Xiaodi Wu 32 10 0 26 Mar 2023
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding Won Joon Yun Jae Pyoung Kim Hankyul Baek Soyi Jung Jihong Park M. Bennis Joongheon Kim 17 4 0 04 Dec 2022
An exponentially-growing family of universal quantum circuits Mohammad Kordzanganeh P. Sekatski Leonid Fedichkin A. Melnikov 22 20 0 01 Dec 2022
Bayesian Learning of Parameterised Quantum Circuits Samuel Duffield Marcello Benedetti Matthias Rosenkranz 19 11 0 15 Jun 2022
A Convergence Theory for Over-parameterized Variational Quantum Eigensolvers Xuchen You Shouvanik Chakrabarti Xiaodi Wu 50 34 0 25 May 2022
Scalable Variational Quantum Circuits for Autoencoder-based Drug Discovery Junde Li Swaroop Ghosh BDL DRL 21 11 0 15 Nov 2021
Graph neural network initialisation of quantum approximate optimisation Nishant Jain Brian Coyle E. Kashefi N. Kumar GNN AI4CE 30 48 0 04 Nov 2021
Non-trivial symmetries in quantum landscapes and their resilience to quantum noise Enrico Fontana M. Cerezo A. Arrasmith I. Rungger Patrick J. Coles 20 22 0 17 Nov 2020
Quantum Sparse Support Vector Machines Seyran Saeedi Tom Arodz 16 19 0 05 Feb 2019
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 179 1,185 0 30 Nov 2014