ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.01051
  4. Cited By
Can Error Mitigation Improve Trainability of Noisy Variational Quantum
  Algorithms?

Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?

2 September 2021
Samson Wang
Piotr Czarnik
A. Arrasmith
M. Cerezo
L. Cincio
Patrick J. Coles
ArXivPDFHTML

Papers citing "Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?"

6 / 6 papers shown
Title
Exponential concentration in quantum kernel methods
Exponential concentration in quantum kernel methods
Supanut Thanasilp
Samson Wang
M. Cerezo
Zoë Holmes
11
75
0
23 Aug 2022
Subtleties in the trainability of quantum machine learning models
Subtleties in the trainability of quantum machine learning models
Supanut Thanasilp
Samson Wang
Nhat A. Nghiem
Patrick J. Coles
M. Cerezo
30
61
0
27 Oct 2021
Theory of overparametrization in quantum neural networks
Theory of overparametrization in quantum neural networks
Martín Larocca
Nathan Ju
Diego García-Martín
Patrick J. Coles
M. Cerezo
27
187
0
23 Sep 2021
Long-time simulations with high fidelity on quantum hardware
Long-time simulations with high fidelity on quantum hardware
Joe Gibbs
Kaitlin Gili
Zoë Holmes
Benjamin Commeau
A. Arrasmith
L. Cincio
Patrick J. Coles
A. Sornborger
50
53
0
08 Feb 2021
Connecting ansatz expressibility to gradient magnitudes and barren
  plateaus
Connecting ansatz expressibility to gradient magnitudes and barren plateaus
Zoë Holmes
Kunal Sharma
M. Cerezo
Patrick J. Coles
118
420
0
06 Jan 2021
Noise-Induced Barren Plateaus in Variational Quantum Algorithms
Noise-Induced Barren Plateaus in Variational Quantum Algorithms
Samson Wang
Enrico Fontana
M. Cerezo
Kunal Sharma
A. Sone
L. Cincio
Patrick J. Coles
119
652
0
28 Jul 2020
1