A Primer on Quantum Machine Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Chang, Su Yeon, Cerezo, M. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Quantum Circuit Pre-Synthesis: Learning Local Edits to Reduce $T$-count
por: Bosco, Daniele Lizzio, et al.
Publicado: (2026)
por: Bosco, Daniele Lizzio, et al.
Publicado: (2026)
Approximately Equivariant Quantum Neural Network for $p4m$ Group Symmetries in Images
por: Chang, Su Yeon, et al.
Publicado: (2023)
por: Chang, Su Yeon, et al.
Publicado: (2023)
Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers
por: Du, Yuxuan, et al.
Publicado: (2025)
por: Du, Yuxuan, et al.
Publicado: (2025)
Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
por: Fan, Fan, et al.
Publicado: (2026)
por: Fan, Fan, et al.
Publicado: (2026)
Quantum Architecture Search for Solving Quantum Machine Learning Tasks
por: Kölle, Michael, et al.
Publicado: (2025)
por: Kölle, Michael, et al.
Publicado: (2025)
Identification and Mitigating Bias in Quantum Machine Learning
por: Swaminathan, Nandhini, et al.
Publicado: (2024)
por: Swaminathan, Nandhini, et al.
Publicado: (2024)
Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning
por: Ordóñez, Sebastián Andrés Cajas, et al.
Publicado: (2025)
por: Ordóñez, Sebastián Andrés Cajas, et al.
Publicado: (2025)
Machine Learning and Quantum Intelligence for Health Data Scenarios
por: Naguleswaran, Sanjeev
Publicado: (2024)
por: Naguleswaran, Sanjeev
Publicado: (2024)
Quantum Machine Learning for Anomaly Detection in Consumer Electronics
por: Bhowmik, Sounak, et al.
Publicado: (2024)
por: Bhowmik, Sounak, et al.
Publicado: (2024)
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
por: Hasan, Mohammad Junayed, et al.
Publicado: (2023)
por: Hasan, Mohammad Junayed, et al.
Publicado: (2023)
A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance
por: Wang, Yunfei, et al.
Publicado: (2024)
por: Wang, Yunfei, et al.
Publicado: (2024)
QuXAI: Explainers for Hybrid Quantum Machine Learning Models
por: Barua, Saikat, et al.
Publicado: (2025)
por: Barua, Saikat, et al.
Publicado: (2025)
The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits
por: Li, Yuqing, et al.
Publicado: (2024)
por: Li, Yuqing, et al.
Publicado: (2024)
A Geometric-Aware Perspective and Beyond: Hybrid Quantum-Classical Machine Learning Methods
por: Alavia, Azadeh, et al.
Publicado: (2025)
por: Alavia, Azadeh, et al.
Publicado: (2025)
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning
por: Winderl, David, et al.
Publicado: (2024)
por: Winderl, David, et al.
Publicado: (2024)
Quantum Entanglement as Super-Confounding: From Bell's Theorem to Robust Machine Learning
por: Kang, Pilsung
Publicado: (2025)
por: Kang, Pilsung
Publicado: (2025)
QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning
por: Chittoor, Hari Hara Suthan, et al.
Publicado: (2024)
por: Chittoor, Hari Hara Suthan, et al.
Publicado: (2024)
Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits
por: Qi, Jun, et al.
Publicado: (2024)
por: Qi, Jun, et al.
Publicado: (2024)
Adiabatic Quantum Support Vector Machines
por: Date, Prasanna, et al.
Publicado: (2024)
por: Date, Prasanna, et al.
Publicado: (2024)
Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region
por: Khan, Muhammad Al-Zafar, et al.
Publicado: (2024)
por: Khan, Muhammad Al-Zafar, et al.
Publicado: (2024)
Flood Prediction Using Classical and Quantum Machine Learning Models
por: Grzesiak, Marek, et al.
Publicado: (2024)
por: Grzesiak, Marek, et al.
Publicado: (2024)
Quantum Machine Learning-based 6G edge Network: Enabling Adaptive Communication and Model Aggregation
por: Xiao, Wenjing, et al.
Publicado: (2026)
por: Xiao, Wenjing, et al.
Publicado: (2026)
A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines
por: Chen, Yixiong
Publicado: (2026)
por: Chen, Yixiong
Publicado: (2026)
Multi-Omic and Quantum Machine Learning Integration for Lung Subtypes Classification
por: Saggi, Mandeep Kaur, et al.
Publicado: (2024)
por: Saggi, Mandeep Kaur, et al.
Publicado: (2024)
Evaluating the Impact of Different Quantum Kernels on the Classification Performance of Support Vector Machine Algorithm: A Medical Dataset Application
por: Akpinar, Emine, et al.
Publicado: (2024)
por: Akpinar, Emine, et al.
Publicado: (2024)
Component Based Quantum Machine Learning Explainability
por: White, Barra, et al.
Publicado: (2025)
por: White, Barra, et al.
Publicado: (2025)
Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting
por: Liu, Chen-Yu, et al.
Publicado: (2025)
por: Liu, Chen-Yu, et al.
Publicado: (2025)
Quantum Inspired Encoding Strategies for Machine Learning Models: Proposing and Evaluating Instance Level, Global Discrete, and Class Conditional Representations
por: Rath, Minati, et al.
Publicado: (2025)
por: Rath, Minati, et al.
Publicado: (2025)
Transition Role of Entangled Data in Quantum Machine Learning
por: Wang, Xinbiao, et al.
Publicado: (2023)
por: Wang, Xinbiao, et al.
Publicado: (2023)
Tensor Networks for Explainable Machine Learning in Cybersecurity
por: Aizpurua, Borja, et al.
Publicado: (2023)
por: Aizpurua, Borja, et al.
Publicado: (2023)
Laziness, Barren Plateau, and Noise in Machine Learning
por: Liu, Junyu, et al.
Publicado: (2022)
por: Liu, Junyu, et al.
Publicado: (2022)
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning
por: Li, Bacui, et al.
Publicado: (2024)
por: Li, Bacui, et al.
Publicado: (2024)
Meta-Learning for Quantum Optimization via Quantum Sequence Model
por: Lin, Yu-Cheng, et al.
Publicado: (2025)
por: Lin, Yu-Cheng, et al.
Publicado: (2025)
Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise
por: Rahman, Ratun, et al.
Publicado: (2025)
por: Rahman, Ratun, et al.
Publicado: (2025)
QIXAI: A Quantum-Inspired Framework for Enhancing Classical and Quantum Model Transparency and Understanding
por: Willis, John M.
Publicado: (2024)
por: Willis, John M.
Publicado: (2024)
Quantum Masked Autoencoders for Vision Learning
por: Andrews, Emma, et al.
Publicado: (2025)
por: Andrews, Emma, et al.
Publicado: (2025)
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning
por: Kölle, Michael, et al.
Publicado: (2024)
por: Kölle, Michael, et al.
Publicado: (2024)
Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach
por: Xu, Yang, et al.
Publicado: (2025)
por: Xu, Yang, et al.
Publicado: (2025)
Transfer Learning Analysis of Variational Quantum Circuits
por: Tseng, Huan-Hsin, et al.
Publicado: (2025)
por: Tseng, Huan-Hsin, et al.
Publicado: (2025)
Quantum Transfer Learning to Boost Dementia Detection
por: Bhowmik, Sounak, et al.
Publicado: (2025)
por: Bhowmik, Sounak, et al.
Publicado: (2025)
Ejemplares similares
-
Quantum Circuit Pre-Synthesis: Learning Local Edits to Reduce $T$-count
por: Bosco, Daniele Lizzio, et al.
Publicado: (2026) -
Approximately Equivariant Quantum Neural Network for $p4m$ Group Symmetries in Images
por: Chang, Su Yeon, et al.
Publicado: (2023) -
Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers
por: Du, Yuxuan, et al.
Publicado: (2025) -
Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
por: Fan, Fan, et al.
Publicado: (2026) -
Quantum Architecture Search for Solving Quantum Machine Learning Tasks
por: Kölle, Michael, et al.
Publicado: (2025)