Cover Image

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

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wiedmann, Marco, Hölle, Marc, Periyasamy, Maniraman, Meyer, Nico, Ufrecht, Christian, Scherer, Daniel D., Plinge, Axel, Mutschler, Christopher
Format:	Preprint
Published:	2023
Subjects:	Quantum Physics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading
by: Periyasamy, Maniraman, et al.
Published: (2023)

A Survey on Quantum Reinforcement Learning
by: Meyer, Nico, et al.
Published: (2022)

Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule
by: Periyasamy, Maniraman, et al.
Published: (2024)

Incremental Data-Uploading for Full-Quantum Classification
by: Periyasamy, Maniraman, et al.
Published: (2022)

Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks
by: Meyer, Nico, et al.
Published: (2024)

Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks
by: Mattick, Alexander, et al.
Published: (2025)

Optimal joint cutting of two-qubit rotation gates
by: Ufrecht, Christian, et al.
Published: (2023)

Unitary Synthesis of Clifford+T Circuits with Reinforcement Learning
by: Rietsch, Sebastian, et al.
Published: (2024)

Fourier Analysis of Variational Quantum Circuits for Supervised Learning
by: Wiedmann, Marco, et al.
Published: (2024)

Warm-Start Variational Quantum Policy Iteration
by: Meyer, Nico, et al.
Published: (2024)

CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting
by: Periyasamy, Maniraman, et al.
Published: (2025)

Improving Quantum and Classical Decomposition Methods for Vehicle Routing
by: Herzog, Laura S., et al.
Published: (2024)

Benchmarking Quantum Reinforcement Learning
by: Meyer, Nico, et al.
Published: (2025)

SCIM MILQ: An HPC Quantum Scheduler
by: Seitz, Philipp, et al.
Published: (2024)

Comprehensive Library of Variational LSE Solvers
by: Meyer, Nico, et al.
Published: (2024)

Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization
by: Meyer, Nico, et al.
Published: (2024)

Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction
by: Meyer, Nico, et al.
Published: (2025)

Learning to Concatenate Quantum Codes
by: Meyer, Nico, et al.
Published: (2026)

Quantum Wasserstein Compilation: Unitary Compilation using the Quantum Earth Mover's Distance
by: Richter, Marvin, et al.
Published: (2024)

Learning Logical Operations for Arbitrary Quantum Error Correction Codes
by: Meyer, Nico, et al.
Published: (2026)

C-MCTS: Safe Planning with Monte Carlo Tree Search
by: Parthasarathy, Dinesh, et al.
Published: (2023)

A Transferable Machine Learning Approach to Predict Optimized Orbitals for Electronic Structure Problems
by: van der Horst, Lucas, et al.
Published: (2026)

Soft-Quantum Algorithms
by: Kyriacou, Basil, et al.
Published: (2026)

Shot-Based Quantum Encoding: A Data-Loading Paradigm for Quantum Neural Networks
by: Kyriacou, Basil, et al.
Published: (2026)

Optimized Circuit Cutting for QAOA Sampling Tasks
by: Wagner, Friedrich, et al.
Published: (2025)

Quantum Speed Limits from Symmetries in Quantum Control
by: Wiedmann, Marco, et al.
Published: (2025)

Superposed parameterised quantum circuits
by: Patapovich, Viktoria, et al.
Published: (2025)

Joint Cutting for Hybrid Schrödinger-Feynman Simulation of Quantum Circuits
by: Herzog, Laura S., et al.
Published: (2025)

Optimized Compilation of Logical Clifford Circuits
by: Popov, Alexander, et al.
Published: (2026)

PrototypeNAS: Rapid Design of Deep Neural Networks for Microcontroller Units
by: Deutel, Mark, et al.
Published: (2026)

Reinforcement Learning for Node Selection in Branch-and-Bound
by: Mattick, Alexander, et al.
Published: (2023)

Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
by: Deutel, Mark, et al.
Published: (2023)

INFLUENCE OF DELAMINATION INTERFACE LOCATION ON COMPRESSION STRENGTH OF FULLY ISOTROPIC LAMINATES AFTER IMPACT
by: Periyasamy Manikandan, et al.
Published: (2023)

Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection
by: Hölle, Marc, et al.
Published: (2025)

Georg Wilhelm Friedrich Hegel in selbstzeugnissen und bilddokumenten / Franz Wiedmann
by: Wiedmann, Franz

Residential High-Rise Clusters as a Contemporary Planning Challenge in Manama
by: Florian Wiedmann
Published: (2015)

Quantum Annealing based Feature Selection in Machine Learning
by: Pranjic, Daniel, et al.
Published: (2024)

Determinants of Consumers' Perceived Trust in IT-Ecosystems
by: Klaus-Peter Wiedmann
Published: (2010)

microYOLO: Towards Single-Shot Object Detection on Microcontrollers
by: Deutel, Mark, et al.
Published: (2024)

Information structure in Isthmus Zapotec narrative and conversation
by: Bueno Holle, Juan José
Published: (2019)