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DyPP: Dynamic Parameter Prediction to Accelerate Convergence of
  Variational Quantum Algorithms

DyPP: Dynamic Parameter Prediction to Accelerate Convergence of Variational Quantum Algorithms

23 July 2023
Satwik Kundu
Debarshi Kundu
Swaroop Ghosh
ArXivPDFHTML

Papers citing "DyPP: Dynamic Parameter Prediction to Accelerate Convergence of Variational Quantum Algorithms"

3 / 3 papers shown
Title
An Empirical Comparison of Optimizers for Quantum Machine Learning with
  SPSA-based Gradients
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients
Marco Wiedmann
Marc Hölle
Maniraman Periyasamy
Nico Meyer
Christian Ufrecht
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
73
18
0
27 Apr 2023
QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning
QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning
Hanrui Wang
Zi-Chen Li
Jiaqi Gu
Yongshan Ding
D. Pan
Song Han
37
52
0
26 Feb 2022
Quantum Generative Models for Small Molecule Drug Discovery
Quantum Generative Models for Small Molecule Drug Discovery
Junde Li
R. Topaloglu
Swaroop Ghosh
GAN
50
56
0
09 Jan 2021
1