Copertina

Hybrid Classical-Quantum Transfer Learning with Noisy Quantum Circuits

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Martín-Pérez, D., Rodríguez-Díaz, F., Gutiérrez-Avilés, D., Troncoso, A., Martínez-Álvarez, F.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Quantum Physics Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Quantifying Gate Contribution in Quantum Feature Maps for Scalable Circuit Optimization
di: Rodríguez-Díaz, F., et al.
Pubblicazione: (2026)

Hybrid Quantum--Classical Machine Learning Potential with Variational Quantum Circuits
di: Willow, Soohaeng Yoo, et al.
Pubblicazione: (2025)

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

From Classical to Hybrid: A Practical Framework for Quantum-Enhanced Learning
di: Illésová, Silvie, et al.
Pubblicazione: (2025)

Hybrid Quantum-Classical Learning for Multiclass Image Classification
di: Anwar, Shuchismita, et al.
Pubblicazione: (2025)

Hybrid Reward-Driven Reinforcement Learning for Efficient Quantum Circuit Synthesis
di: Giordano, Sara, et al.
Pubblicazione: (2025)

A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines
di: Chen, Yixiong
Pubblicazione: (2026)

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

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

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

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

Hybrid Quantum-Classical Neural Architecture Search
di: Marchisio, Alberto, et al.
Pubblicazione: (2026)

Quantum-Classical Separations in Shallow-Circuit-Based Learning with and without Noises
di: Zhang, Zhihan, et al.
Pubblicazione: (2024)

Hybrid Quantum-Classical Optimisation of Traveling Salesperson Problem
di: Lytrosyngounis, Christos, et al.
Pubblicazione: (2025)

Quantum-Classical Machine learning by Hybrid Tensor Networks
di: Liu, Ding, et al.
Pubblicazione: (2020)

Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
di: Hasan, Mohammad Junayed, et al.
Pubblicazione: (2023)

Quantum Reinforcement Learning-Guided Diffusion Model for Image Synthesis via Hybrid Quantum-Classical Generative Model Architectures
di: Chen, Chi-Sheng, et al.
Pubblicazione: (2025)

HQCC: A Hybrid Quantum-Classical Classifier with Adaptive Structure
di: Zhao, Ren-Xin, et al.
Pubblicazione: (2025)

Quantum Hierarchical Reinforcement Learning via Variational Quantum Circuits
di: Lee, Yu-Ting, et al.
Pubblicazione: (2026)

Active Learning with Variational Quantum Circuits for Quantum Process Tomography
di: Yang, Jiaqi, et al.
Pubblicazione: (2024)

Parametrized Quantum Circuit Learning for Quantum Chemical Applications
di: Jones, Grier M., et al.
Pubblicazione: (2025)

Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures
di: Kölle, Michael, et al.
Pubblicazione: (2023)

The Quantum Learning Menagerie (A survey on Quantum learning for Classical concepts)
di: Chatterjee, Sagnik
Pubblicazione: (2026)

A Hybrid Classical-Quantum Fine Tuned BERT for Text Classification
di: Masum, Abu Kaisar Mohammad, et al.
Pubblicazione: (2025)

Classical Verification of Quantum Learning Advantages with Noises
di: Ma, Yinghao, et al.
Pubblicazione: (2024)

Reinforcement Learning for Variational Quantum Circuits Design
di: Foderà, Simone, et al.
Pubblicazione: (2024)

Challenges for Reinforcement Learning in Quantum Circuit Design
di: Altmann, Philipp, et al.
Pubblicazione: (2023)

Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
di: Heese, Raoul, et al.
Pubblicazione: (2023)

QTabGAN: A Hybrid Quantum-Classical GAN for Tabular Data Synthesis
di: Kumari, Subhangi, et al.
Pubblicazione: (2026)

Quantum-Enhanced Generative Adversarial Networks: Comparative Analysis of Classical and Hybrid Quantum-Classical Generative Adversarial Networks
di: Goh, Kun Ming
Pubblicazione: (2025)

Hybrid Quantum-Classical Neural Networks for Few-Shot Credit Risk Assessment
di: Wang, Zheng-an, et al.
Pubblicazione: (2025)

The Role of Quantum in Hybrid Quantum-Classical Neural Networks: A Realistic Assessment
di: Freinberger, Dominik, et al.
Pubblicazione: (2026)

Classical Verification of Quantum Learning
di: Caro, Matthias C., et al.
Pubblicazione: (2023)

Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis
di: Yeung, Richie, et al.
Pubblicazione: (2026)

Quantum Text Classifier -- A Synchronistic Approach Towards Classical and Quantum Machine Learning
di: Santi, Prabhat, et al.
Pubblicazione: (2023)

Noisy Quantum Learning Theory
di: Cotler, Jordan, et al.
Pubblicazione: (2025)

Parallel Multi-Circuit Quantum Feature Fusion in Hybrid Quantum-Classical Convolutional Neural Networks for Breast Tumor Classification
di: Yurtseven, Ece
Pubblicazione: (2025)

Quantum Generative Modeling using Parameterized Quantum Circuits
di: Sarkar, Soumyadip
Pubblicazione: (2023)

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

Exploring Quantum-Enhanced Machine Learning for Computer Vision: Applications and Insights on Noisy Intermediate-Scale Quantum Devices
di: Mandadapu, Purnachandra
Pubblicazione: (2024)