Cover Image

Quantum Transfer Learning Shows Improved Robustness in Low-Data Regimes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lo, Li-An, Hsu, Li-Yi, Hsieh, Hsien-Yi
Format:	Preprint
Published:	2026
Subjects:	Quantum Physics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning
by: Qi, Jun, et al.
Published: (2025)

Transfer Learning Analysis of Variational Quantum Circuits
by: Tseng, Huan-Hsin, et al.
Published: (2025)

Provably Robust Training of Quantum Circuit Classifiers Against Parameter Noise
by: Tecot, Lucas, et al.
Published: (2025)

Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits
by: Du, Yuxuan, et al.
Published: (2024)

A Strategy for Preparing Quantum Squeezed States Using Reinforcement Learning
by: Zhao, X. L., et al.
Published: (2024)

Hybrid Classical-Quantum Transfer Learning with Noisy Quantum Circuits
by: Martín-Pérez, D., et al.
Published: (2026)

Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix
by: Caro, Matthias C.
Published: (2022)

Quantum Transfer Learning for MNIST Classification Using a Hybrid Quantum-Classical Approach
by: Sarkar, Soumyadip
Published: (2024)

Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits
by: Qi, Jun, et al.
Published: (2023)

Transfer Learning for Deep-Unfolded Combinatorial Optimization Solver with Quantum Annealer
by: Hagiwara, Ryo, et al.
Published: (2025)

CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data
by: Chen, Kuan-Cheng, et al.
Published: (2024)

Quantum LEGO Learning: A Modular Design Principle for Hybrid Artificial Intelligence
by: Qi, Jun, et al.
Published: (2026)

Quantum Circuit Generation via test-time learning with large language models
by: Macarone-Palmieri, Adriano, et al.
Published: (2026)

RobQFL: Robust Quantum Federated Learning in Adversarial Environment
by: Maouaki, Walid El, et al.
Published: (2025)

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

Simulating Non-Markovian Open Quantum Dynamics with Neural Quantum States
by: Cao, Long, et al.
Published: (2024)

Quantum Optimization for Training Quantum Neural Networks
by: Liao, Yidong, et al.
Published: (2021)

TensorHyper-VQC: A Tensor-Train-Guided Hypernetwork for Robust and Scalable Variational Quantum Computing
by: Qi, Jun, et al.
Published: (2025)

Generative Quantum Data Embeddings for Supervised Learning
by: Heo, Jaewoong, et al.
Published: (2026)

Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
by: Zhang, Kaining, et al.
Published: (2022)

Improving Quantum Machine Learning via Heat-Bath Algorithmic Cooling
by: Rodríguez-Briones, Nayeli A., et al.
Published: (2025)

Meta-Learning for Quantum Optimization via Quantum Sequence Model
by: Lin, Yu-Cheng, et al.
Published: (2025)

Quantum Transfer Learning to Boost Dementia Detection
by: Bhowmik, Sounak, et al.
Published: (2025)

Unsupervised Feature Extraction and Reconstruction Using Parameterized Quantum Circuits
by: Lo, Li-An, et al.
Published: (2025)

Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach
by: Nguyen, Kien X., et al.
Published: (2025)

Improving Gradient Methods via Coordinate Transformations: Applications to Quantum Machine Learning
by: Bermejo, Pablo, et al.
Published: (2023)

Quantum Federated Learning Experiments in the Cloud with Data Encoding
by: Pokhrel, Shiva Raj, et al.
Published: (2024)

Detection of Physiological Data Tampering Attacks with Quantum Machine Learning
by: Onim, Md. Saif Hassan, et al.
Published: (2025)

Adaptive Online Learning of Quantum States
by: Chen, Xinyi, et al.
Published: (2022)

Sequential learning on a Tensor Network Born machine with Trainable Token Embedding
by: Hou, Wanda, et al.
Published: (2023)

Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows
by: Hu, Hong-Ye, et al.
Published: (2024)

Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learning
by: Li, Linsen, et al.
Published: (2024)

Experimental Machine Learning with Classical and Quantum Data via NMR Quantum Kernels
by: Sabarad, Vivek, et al.
Published: (2024)

Machine Learning for Quantum State Tomography: Robust Covariance Matrix Estimation for Squeezed Vacuum States with Thermal Noise
by: Rodrıguez, Juan Camilo, et al.
Published: (2025)

Quantum-Classical Hybrid Molecular Autoencoder for Advancing Classical Decoding
by: Jahin, Afrar, et al.
Published: (2025)

Adversarial Robustness in Distributed Quantum Machine Learning
by: Kananian, Pouya, et al.
Published: (2025)

Universality of Many-body Projected Ensemble for Learning Quantum Data Distribution
by: Tran, Quoc Hoan, et al.
Published: (2026)

Learning Robust Observable to Address Noise in Quantum Machine Learning
by: Khanal, Bikram, et al.
Published: (2024)

Quantum Reinforcement Learning by Adaptive Non-local Observables
by: Lin, Hsin-Yi, et al.
Published: (2025)

Quantum Geometry of Data
by: Abanov, Alexander G., et al.
Published: (2025)