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

11 June 2024

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

36 / 36 papers shown

Title
Differential equation quantum solvers: engineering measurements to reduce cost Annie Paine Casper Gyurik Antonio Andrea Gentile 46 0 0 28 Mar 2025
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits Kaining Zhang Liu Liu Min-hsiu Hsieh Dacheng Tao 79 61 0 20 Feb 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 61 0 0 17 Feb 2025
Variational decision diagrams for quantum-inspired machine learning applications Santiago Acevedo-Mancera Vladimir Vargas-Calderón Herbert Vinck-Posada 77 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 46 1 0 04 Oct 2024
Variational quantum simulation: a case study for understanding warm starts Ricard Puig-i-Valls Marc Drudis Supanut Thanasilp Zoë Holmes 59 20 0 15 Apr 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 56 130 0 14 Dec 2023
Training robust and generalizable quantum models Julian Berberich Daniel Fink Daniel Pranjić C. Tutschku Christian Holm OOD 41 13 0 20 Nov 2023
Information-theoretic generalization bounds for learning from quantum data Matthias C. Caro Tom Gur Cambyse Rouzé Daniel Stilck França Sathyawageeswar Subramanian 20 9 0 09 Nov 2023
On the expressivity of embedding quantum kernels Elies Gil-Fuster Jens Eisert Vedran Dunjko 40 18 0 25 Sep 2023
Potential and limitations of random Fourier features for dequantizing quantum machine learning R. Sweke Erik Recio Sofiene Jerbi Elies Gil-Fuster Bryce Fuller Jens Eisert Johannes Jakob Meyer 44 12 0 20 Sep 2023
Exponential separations between classical and quantum learners Casper Gyurik Vedran Dunjko 36 19 0 28 Jun 2023
Understanding quantum machine learning also requires rethinking generalization Elies Gil-Fuster Jens Eisert Carlos Bravo-Prieto 43 45 0 23 Jun 2023
Quantum Deep Hedging El Amine Cherrat S. Raj Iordanis Kerenidis Abhishek Shekhar Ben Wood ... Pierre Minssen Ruslan Shaydulin Yue Sun Romina Yalovetzky Marco Pistoia 41 25 0 29 Mar 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification Yuxuan Du Yibo Yang Dacheng Tao Min-hsiu Hsieh 68 23 0 29 Dec 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 49 88 0 18 Oct 2022
Classical surrogates for quantum learning models Franz J. Schreiber Jens Eisert Johannes Jakob Meyer AI4CE 60 48 0 23 Jun 2022
Power and limitations of single-qubit native quantum neural networks Zhan Yu Hong Yao Mujin Li Xin Wang 50 38 0 16 May 2022
Generalization in quantum machine learning from few training data Matthias C. Caro Hsin-Yuan Huang M. Cerezo Kunal Sharma A. Sornborger L. Cincio Patrick J. Coles 52 364 0 09 Nov 2021
Subtleties in the trainability of quantum machine learning models Supanut Thanasilp Samson Wang Nhat A. Nghiem Patrick J. Coles M. Cerezo 48 62 0 27 Oct 2021
Exponentially Many Local Minima in Quantum Neural Networks Xuchen You Xiaodi Wu 82 53 0 06 Oct 2021
Encoding-dependent generalization bounds for parametrized quantum circuits Matthias C. Caro Elies Gil-Fuster Johannes Jakob Meyer Jens Eisert R. Sweke UQCV 34 101 0 07 Jun 2021
The Inductive Bias of Quantum Kernels Jonas M. Kubler Simon Buchholz Bernhard Schölkopf 33 119 0 07 Jun 2021
Structural risk minimization for quantum linear classifiers Casper Gyurik Dyon van Vreumingen Vedran Dunjko 21 33 0 12 May 2021
Training Quantum Embedding Kernels on Near-Term Quantum Computers T. Hubregtsen David Wierichs Elies Gil-Fuster Peter-Jan H. S. Derks Paul K. Faehrmann Johannes Jakob Meyer 51 98 0 05 May 2021
Equivalence of quantum barren plateaus to cost concentration and narrow gorges A. Arrasmith Zoë Holmes M. Cerezo Patrick J. Coles 33 143 0 12 Apr 2021
Variational Quantum Algorithms M. Cerezo A. Arrasmith Ryan Babbush S. Benjamin Suguru Endo ... Jarrod R. McClean K. Mitarai Xiao Yuan L. Cincio Patrick J. Coles 74 2,487 0 16 Dec 2020
Absence of Barren Plateaus in Quantum Convolutional Neural Networks Arthur Pesah M. Cerezo Samson Wang T. Volkoff A. Sornborger Patrick J. Coles 41 278 0 05 Nov 2020
The power of quantum neural networks Amira Abbas David Sutter Christa Zoufal Aurelien Lucchi Alessio Figalli Stefan Woerner 61 739 0 30 Oct 2020
A rigorous and robust quantum speed-up in supervised machine learning Yunchao Liu Srinivasan Arunachalam K. Temme 52 535 0 05 Oct 2020
The effect of data encoding on the expressive power of variational quantum machine learning models Maria Schuld R. Sweke Johannes Jakob Meyer 38 500 0 19 Aug 2020
Predicting Many Properties of a Quantum System from Very Few Measurements Hsin-Yuan Huang R. Kueng J. Preskill 29 1,092 0 18 Feb 2020
Pseudo-dimension of quantum circuits Matthias C. Caro Ishaun Datta 20 43 0 04 Feb 2020
A quantum-inspired classical algorithm for recommendation systems Ewin Tang VLM 47 366 0 10 Jul 2018
Supervised learning with quantum enhanced feature spaces Vojtěch Havlíček A. Córcoles K. Temme A. Harrow A. Kandala J. Chow J. Gambetta 31 1,799 0 30 Apr 2018
Barren plateaus in quantum neural network training landscapes Jarrod R. McClean Sergio Boixo V. Smelyanskiy Ryan Babbush Hartmut Neven 54 1,800 0 29 Mar 2018