Exponentially Many Local Minima in Quantum Neural Networks

6 October 2021

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

21 / 21 papers shown

Title
Superposed Parameterised Quantum Circuits Viktoria Patapovich Mo Kordzanganeh A. Melnikov 137 0 0 10 Jun 2025
Predictive Performance of Deep Quantum Data Re-uploading Models Xin Wang Han-Xiao Tao Re-Bing Wu 111 2 0 24 May 2025
The effect of the number of parameters and the number of local feature patches on loss landscapes in distributed quantum neural networks Yoshiaki Kawase 185 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 179 0 0 21 Apr 2025
Enhancing Circuit Trainability with Selective Gate Activation Strategy Jeihee Cho Junyong Lee Daniel Justice Shiho Kim 188 1 0 17 Mar 2025
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum CircuitsNeural Information Processing Systems (NeurIPS), 2022 Kaining Zhang Liu Liu Min-hsiu Hsieh Dacheng Tao 295 87 0 20 Feb 2025
Quantum automated learning with provable and explainable trainability Qi Ye Shuangyue Geng Zizhao Han Weikang Li L. Duan D. Deng 170 4 0 07 Feb 2025
MG-Net: Learn to Customize QAOA with Circuit Depth AwarenessNeural Information Processing Systems (NeurIPS), 2024 Yang Qian Xinbiao Wang Yuxuan Du Yong Luo Dacheng Tao 112 3 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 279 24 0 11 Jun 2024
Does provable absence of barren plateaus imply classical simulability?Nature Communications (Nat. Commun.), 2023 M. Cerezo Martín Larocca Diego García-Martín N. L. Diaz Paolo Braccia ... Pablo Bermejo Aroosa Ijaz Supanut Thanasilp Eric R. Anschuetz Zoë Holmes 309 195 0 14 Dec 2023
Statistical Analysis of Quantum State Learning Process in Quantum Neural NetworksNeural Information Processing Systems (NeurIPS), 2023 Hao Zhang Chenghong Zhu M. Jing Xin Wang 155 8 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 270 11 0 22 Sep 2023
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent KernelsInternational Conference on Machine Learning (ICML), 2023 Xuchen You Shouvanik Chakrabarti Boyang Chen Xiaodi Wu 120 14 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 178 10 0 04 Dec 2022
An exponentially-growing family of universal quantum circuits Mohammad Kordzanganeh P. Sekatski Leonid Fedichkin A. Melnikov 248 22 0 01 Dec 2022
Bayesian Learning of Parameterised Quantum Circuits Samuel Duffield Marcello Benedetti Matthias Rosenkranz 114 14 0 15 Jun 2022
A Convergence Theory for Over-parameterized Variational Quantum Eigensolvers Xuchen You Shouvanik Chakrabarti Xiaodi Wu 130 37 0 25 May 2022
Scalable Variational Quantum Circuits for Autoencoder-based Drug DiscoveryDesign, Automation and Test in Europe (DATE), 2021 Junde Li Swaroop Ghosh BDL DRL 164 14 0 15 Nov 2021
Graph neural network initialisation of quantum approximate optimisationQuantum (Quantum), 2021 Nishant Jain Brian Coyle E. Kashefi N. Kumar GNN AI4CE 286 54 0 04 Nov 2021
Non-trivial symmetries in quantum landscapes and their resilience to quantum noiseQuantum (Quantum), 2020 Enrico Fontana M. Cerezo A. Arrasmith I. Rungger Patrick J. Coles 233 24 0 17 Nov 2020
Quantum Sparse Support Vector Machines Seyran Saeedi Tom Arodz 246 19 0 05 Feb 2019