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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
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Papers citing "An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients"

3 / 3 papers shown
Title
CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting
CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting
Maniraman Periyasamy
Christian Ufrecht
Daniel D. Scherer
Wolfgang Mauerer
10
0
0
17 Jun 2025
Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule
Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule
Maniraman Periyasamy
Axel Plinge
Christopher Mutschler
Daniel D. Scherer
Wolfgang Mauerer
88
13
0
24 Apr 2024
Quantum Policy Gradient Algorithm with Optimized Action Decoding
Quantum Policy Gradient Algorithm with Optimized Action Decoding
Nico Meyer
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
M. Hartmann
61
21
0
13 Dec 2022

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