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. 2102.04313
  4. Cited By
Long-time simulations with high fidelity on quantum hardware

Long-time simulations with high fidelity on quantum hardware

8 February 2021
Joe Gibbs
Kaitlin Gili
Zoë Holmes
Benjamin Commeau
A. Arrasmith
L. Cincio
Patrick J. Coles
A. Sornborger
ArXivPDFHTML

Papers citing "Long-time simulations with high fidelity on quantum hardware"

11 / 11 papers shown
Title
Trainability barriers and opportunities in quantum generative modeling
Trainability barriers and opportunities in quantum generative modeling
Manuel S. Rudolph
S. Lerch
Supanut Thanasilp
Oriel Kiss
S. Vallecorsa
Michele Grossi
Zoë Holmes
40
24
0
04 May 2023
The power and limitations of learning quantum dynamics incoherently
The power and limitations of learning quantum dynamics incoherently
Sofiene Jerbi
Joe Gibbs
Manuel S. Rudolph
Matthias C. Caro
Patrick J. Coles
Hsin-Yuan Huang
Zoë Holmes
13
14
0
22 Mar 2023
Dynamical simulation via quantum machine learning with provable
  generalization
Dynamical simulation via quantum machine learning with provable generalization
Joe Gibbs
Zoë Holmes
Matthias C. Caro
Nic Ezzell
Hsin-Yuan Huang
L. Cincio
A. Sornborger
Patrick J. Coles
AI4CE
8
43
0
21 Apr 2022
Generalization in quantum machine learning from few training data
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
351
0
09 Nov 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
10
186
0
23 Sep 2021
Can Error Mitigation Improve Trainability of Noisy Variational Quantum
  Algorithms?
Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
Samson Wang
Piotr Czarnik
A. Arrasmith
M. Cerezo
L. Cincio
Patrick J. Coles
53
80
0
02 Sep 2021
Optimal training of variational quantum algorithms without barren
  plateaus
Optimal training of variational quantum algorithms without barren plateaus
Tobias Haug
M. S. Kim
24
35
0
29 Apr 2021
A semi-agnostic ansatz with variable structure for quantum machine
  learning
A semi-agnostic ansatz with variable structure for quantum machine learning
M. Bilkis
M. Cerezo
Guillaume Verdon
Patrick J. Coles
L. Cincio
19
18
0
11 Mar 2021
Noisy intermediate-scale quantum (NISQ) algorithms
Noisy intermediate-scale quantum (NISQ) algorithms
Kishor Bharti
Alba Cervera-Lierta
T. Kyaw
Tobias Haug
Sumner Alperin-Lea
...
Tim Menke
Wai-Keong Mok
Sukin Sim
L. Kwek
Alán Aspuru-Guzik
101
390
0
21 Jan 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
Variational Quantum Algorithms
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
37
2,416
0
16 Dec 2020
1