Cover Image

Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hasan, Mohammad Junayed, Mahdy, M. R. C.
Format:	Preprint
Published:	2023
Subjects:	Quantum Physics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CQ CNN: A Hybrid Classical Quantum Convolutional Neural Network for Alzheimer's Disease Detection Using Diffusion Generated and U Net Segmented 3D MRI
by: Islam, Mominul, et al.
Published: (2025)

Flood Prediction Using Classical and Quantum Machine Learning Models
by: Grzesiak, Marek, et al.
Published: (2024)

Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning
by: Ordóñez, Sebastián Andrés Cajas, et al.
Published: (2025)

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

Quantitative Evaluation of Quantum/Classical Neural Network Using a Game Solver Metric
by: Kamei, Suzukaze, et al.
Published: (2025)

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

Hybrid Quantum-Classical Recurrent Neural Networks
by: Xu, Wenduan
Published: (2025)

On Emergences of Non-Classical Statistical Characteristics in Classical Neural Networks
by: Zhao, Hanyu, et al.
Published: (2026)

A Geometric-Aware Perspective and Beyond: Hybrid Quantum-Classical Machine Learning Methods
by: Alavia, Azadeh, et al.
Published: (2025)

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

Q-Newton: Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent
by: Li, Pingzhi, et al.
Published: (2024)

Let the Quantum Creep In: Designing Quantum Neural Network Models by Gradually Swapping Out Classical Components
by: Wang, Peiyong, et al.
Published: (2024)

The Efficiency Frontier: Classical Shadows versus Quantum Footage
by: Ma, Shuowei, et al.
Published: (2025)

Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
by: Fan, Fan, et al.
Published: (2026)

QIXAI: A Quantum-Inspired Framework for Enhancing Classical and Quantum Model Transparency and Understanding
by: Willis, John M.
Published: (2024)

QARIMA: A Quantum Approach To Classical Time Series Analysis
by: Mohanty, Nishikanta, et al.
Published: (2026)

Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem
by: Wang, Xinbiao, et al.
Published: (2024)

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

HiQ-Lip: A Hierarchical Quantum-Classical Method for Global Lipschitz Constant Estimation of ReLU Networks
by: He, Haoqi, et al.
Published: (2025)

Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits
by: Qi, Jun, et al.
Published: (2024)

Hybrid Quantum Neural Networks for Enhanced Breast Cancer Thermographic Classification: A Novel Quantum-Classical Integration Approach
by: Syah, Riza Alaudin, et al.
Published: (2026)

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

Regression and Classification with Single-Qubit Quantum Neural Networks
by: Souza, Leandro C., et al.
Published: (2024)

Single-Qudit Quantum Neural Networks for Multiclass Classification
by: Souza, Leandro C., et al.
Published: (2025)

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

Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Method
by: He, Haoqi, et al.
Published: (2025)

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

Quantum Architecture Search for Solving Quantum Machine Learning Tasks
by: Kölle, Michael, et al.
Published: (2025)

Quantum Convolutional Neural Networks with Interaction Layers for Classification of Classical Data
by: Mahmud, Jishnu, et al.
Published: (2023)

Graph Neural Networks on Quantum Computers
by: Liao, Yidong, et al.
Published: (2024)

Quantum Entanglement as Super-Confounding: From Bell's Theorem to Robust Machine Learning
by: Kang, Pilsung
Published: (2025)

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

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

A Primer on Quantum Machine Learning
by: Chang, Su Yeon, et al.
Published: (2025)

Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments
by: Jaouni, Tareq, et al.
Published: (2023)

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

Identification and Mitigating Bias in Quantum Machine Learning
by: Swaminathan, Nandhini, et al.
Published: (2024)

Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset
by: Sakhnenko, Alona, et al.
Published: (2024)

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers
by: Du, Yuxuan, et al.
Published: (2025)

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