Subtleties in the trainability of quantum machine learning models

Subtleties in the trainability of quantum machine learning models

27 October 2021

Supanut Thanasilp

Patrick J. Coles

Papers citing "Subtleties in the trainability of quantum machine learning models"

16 / 16 papers shown

Title
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey Jack Cunningham Jun Zhuang 34 4 0 25 Jul 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
Variational quantum simulation: a case study for understanding warm starts Ricard Puig-i-Valls Marc Drudis Supanut Thanasilp Zoë Holmes 36 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 38 128 0 14 Dec 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification Yuxuan Du Yibo Yang Dacheng Tao Min-hsiu Hsieh 36 22 0 29 Dec 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 34 84 0 18 Oct 2022
Theory for Equivariant Quantum Neural Networks Quynh T. Nguyen Louis Schatzki Paolo Braccia Michael Ragone Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo 27 88 0 16 Oct 2022
Representation Theory for Geometric Quantum Machine Learning Michael Ragone Paolo Braccia Quynh T. Nguyen Louis Schatzki Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo AI4CE 28 73 0 14 Oct 2022
Exponential concentration in quantum kernel methods Supanut Thanasilp Samson Wang M. Cerezo Zoë Holmes 11 76 0 23 Aug 2022
Group-Invariant Quantum Machine Learning Martín Larocca F. Sauvage Faris M. Sbahi Guillaume Verdon Patrick J. Coles M. Cerezo AI4CE 16 117 0 04 May 2022
Analytic theory for the dynamics of wide quantum neural networks Junyu Liu K. Najafi Kunal Sharma F. Tacchino Liang Jiang Antonio Mezzacapo 27 52 0 30 Mar 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 8 354 0 09 Nov 2021
Generalization in Quantum Machine Learning: a Quantum Information Perspective L. Banchi Jason Pereira S. Pirandola 29 22 0 17 Feb 2021
Information-theoretic bounds on quantum advantage in machine learning Hsin-Yuan Huang R. Kueng J. Preskill 71 213 0 07 Jan 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 134 422 0 06 Jan 2021
Noise-Induced Barren Plateaus in Variational Quantum Algorithms Samson Wang Enrico Fontana M. Cerezo Kunal Sharma A. Sone L. Cincio Patrick J. Coles 138 655 0 28 Jul 2020