On the relation between trainability and dequantization of variational quantum learning models

On the relation between trainability and dequantization of variational quantum learning models

11 June 2024

Elies Gil-Fuster

Adrián Pérez-Salinas

Papers citing "On the relation between trainability and dequantization of variational quantum learning models"

9 / 9 papers shown

Title
Differential equation quantum solvers: engineering measurements to reduce cost Annie Paine Casper Gyurik Antonio Andrea Gentile 27 0 0 28 Mar 2025
Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks Sabrina Herbst S. S. Cranganore Vincenzo De Maio Ivona Brandić 32 0 0 17 Feb 2025
Variational decision diagrams for quantum-inspired machine learning applications Santiago Acevedo-Mancera Vladimir Vargas-Calderón Herbert Vinck-Posada 52 0 0 06 Feb 2025
UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference Jing Xiong Jianghan Shen Fanghua Ye Chaofan Tao Zhongwei Wan ... Xun Wu Chuanyang Zheng Zhijiang Guo Lingpeng Kong Ngai Wong 17 3 0 04 Oct 2024
Barren Plateaus in Variational Quantum Computing Martín Larocca Supanut Thanasilp Samson Wang Kunal Sharma Jacob Biamonte Patrick J. Coles L. Cincio Jarrod R. McClean Zoë Holmes M. Cerezo 33 110 0 01 May 2024
Provable Advantage of Parameterized Quantum Circuit in Function Approximation Zhan Yu Qiuhao Chen Yuling Jiao Yinan Li Xiliang Lu Xin Wang Jerry Zhijian Yang 19 6 0 11 Oct 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification Yuxuan Du Yibo Yang Dacheng Tao Min-hsiu Hsieh 21 22 0 29 Dec 2022
Power and limitations of single-qubit native quantum neural networks Zhan Yu Hong Yao Mujin Li Xin Wang 26 35 0 16 May 2022
Exponentially Many Local Minima in Quantum Neural Networks Xuchen You Xiaodi Wu 60 51 0 06 Oct 2021