Image de couverture de livre

Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Haug, Tobias, Kim, M. S.
Format:	Preprint
Publié:	2023
Sujets:	Quantum Physics Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Understanding Generalization in Quantum Machine Learning with Margins
par: Hur, Tak, et autres
Publié: (2024)

Quantum Architecture Search for Solving Quantum Machine Learning Tasks
par: Kölle, Michael, et autres
Publié: (2025)

The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning
par: Incudini, Massimiliano, et autres
Publié: (2022)

Quantum Machine Learning: Quantum Kernel Methods
par: Naguleswaran, Sanjeev
Publié: (2024)

Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis
par: Georgiou, Petros, et autres
Publié: (2024)

Quantum Machine Learning via Contrastive Training
par: Zhukas, Liudmila A., et autres
Publié: (2025)

A Quantum of Learning: Using Quaternion Algebra to Model Learning on Quantum Devices
par: Talebi, Sayed Pouria, et autres
Publié: (2025)

Quantum Dynamics of Machine Learning
par: Wang, Peng, et autres
Publié: (2024)

Benchmarking Machine Learning Models for Quantum Error Correction
par: Zhao, Yue
Publié: (2023)

Efficient Mutation Testing of Quantum Machine Learning Models
par: Andrews, Emma, et autres
Publié: (2026)

Noise Models Impacts and Mitigation Strategies in Photonic Quantum Machine Learning
par: Alagiyawanna, A. M. A. S. D., et autres
Publié: (2026)

Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms
par: Lee, Junyong, et autres
Publié: (2025)

Exploring Quantum Machine Learning for Weather Forecasting
par: da Silva, Maria Heloísa F., et autres
Publié: (2025)

Hybrid Heuristic Algorithms for Adiabatic Quantum Machine Learning Models
par: Alidaee, Bahram, et autres
Publié: (2024)

Multiple Embeddings for Quantum Machine Learning
par: Han, Siyu, et autres
Publié: (2025)

Flood Prediction Using Classical and Quantum Machine Learning Models
par: Grzesiak, Marek, et autres
Publié: (2024)

Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
par: Fan, Fan, et autres
Publié: (2026)

Quantum Machine Learning Playground
par: Debus, Pascal, et autres
Publié: (2025)

On the Design of Expressive and Trainable Pulse-based Quantum Machine Learning Models
par: Tao, Han-Xiao, et autres
Publié: (2025)

Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
par: Heese, Raoul, et autres
Publié: (2023)

A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning
par: Cowlessur, Hevish, et autres
Publié: (2025)

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning
par: Marcandelli, Paolo, et autres
Publié: (2025)

Quantum-Informed Machine Learning for Predicting Spatiotemporal Chaos with Practical Quantum Advantage
par: Wang, Maida, et autres
Publié: (2025)

Machine Learning for Practical Quantum Error Mitigation
par: Liao, Haoran, et autres
Publié: (2023)

On the Sample Complexity of Quantum Boltzmann Machine Learning
par: Coopmans, Luuk, et autres
Publié: (2023)

Entangling Machine Learning with Quantum Tensor Networks
par: van der Poel, Constantijn, et autres
Publié: (2024)

Limitations of Quantum Advantage in Unsupervised Machine Learning
par: Patel, Apoorva D.
Publié: (2025)

Prospects of Privacy Advantage in Quantum Machine Learning
par: Heredge, Jamie, et autres
Publié: (2024)

Spectral Bias in Variational Quantum Machine Learning
par: Duffy, Callum, et autres
Publié: (2025)

Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State Ensemble
par: Chen, Chuangtao, et autres
Publié: (2024)

A Primer on Quantum Machine Learning
par: Chang, Su Yeon, et autres
Publié: (2025)

Quantum Text Classifier -- A Synchronistic Approach Towards Classical and Quantum Machine Learning
par: Santi, Prabhat, et autres
Publié: (2023)

Influence of Data Dimensionality Reduction Methods on the Effectiveness of Quantum Machine Learning Models
par: Shinde, Aakash Ravindra, et autres
Publié: (2025)

Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling
par: Rababah, Bara, et autres
Publié: (2025)

Quantum Generative Modeling using Parameterized Quantum Circuits
par: Sarkar, Soumyadip
Publié: (2023)

Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
par: Hasan, Mohammad Junayed, et autres
Publié: (2023)

Integrating Machine Learning and Quantum Circuits for Proton Affinity Predictions
par: Jin, Hongni, et autres
Publié: (2024)

Adapting Quantum Machine Learning for Energy Dissociation of Bonds
par: Chandrasekhar, Swathi, et autres
Publié: (2025)

Quantum Boltzmann Machines for Sample-Efficient Reinforcement Learning
par: Gerlach, Thore, et autres
Publié: (2025)

Arbitrary Polynomial Separations in Trainable Quantum Machine Learning
par: Anschuetz, Eric R., et autres
Publié: (2024)