Iterative Quantum Feature Maps
Fuente:
arXiv
Saved in:
| Main Authors: | Matsumoto, Nasa, Tran, Quoc Hoan, Chinzei, Koki, Endo, Yasuhiro, Oshima, Hirotaka |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Iterative Quantum Feature Maps
by: Nasa Matsumoto, et al.
Published: (2026)
by: Nasa Matsumoto, et al.
Published: (2026)
Latent-Conditioned Parameterized Quantum Circuits as Universal Approximators for Distributions over Quantum States
by: Tran, Quoc Hoan, et al.
Published: (2026)
by: Tran, Quoc Hoan, et al.
Published: (2026)
Universality of Many-body Projected Ensemble for Learning Quantum Data Distribution
by: Tran, Quoc Hoan, et al.
Published: (2026)
by: Tran, Quoc Hoan, et al.
Published: (2026)
Learning Quantum Data Distribution via Chaotic Quantum Diffusion Model
by: Tran, Quoc Hoan, et al.
Published: (2026)
by: Tran, Quoc Hoan, et al.
Published: (2026)
Resource-efficient equivariant quantum convolutional neural networks
by: Chinzei, Koki, et al.
Published: (2024)
by: Chinzei, Koki, et al.
Published: (2024)
Learning quantum many-body data locally: A provably scalable framework
by: Chinzei, Koki, et al.
Published: (2025)
by: Chinzei, Koki, et al.
Published: (2025)
Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks
by: Chinzei, Koki, et al.
Published: (2024)
by: Chinzei, Koki, et al.
Published: (2024)
Quantum Curriculum Learning
by: Tran, Quoc Hoan, et al.
Published: (2024)
by: Tran, Quoc Hoan, et al.
Published: (2024)
Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data
by: Chinzei, Koki, et al.
Published: (2023)
by: Chinzei, Koki, et al.
Published: (2023)
Molecular Quantum Transformer
by: Kamata, Yuichi, et al.
Published: (2025)
by: Kamata, Yuichi, et al.
Published: (2025)
Extending echo state property for quantum reservoir computing
by: Kobayashi, Shumpei, et al.
Published: (2024)
by: Kobayashi, Shumpei, et al.
Published: (2024)
Coherence influx is indispensable for quantum reservoir computing
by: Kobayashi, Shumpei, et al.
Published: (2024)
by: Kobayashi, Shumpei, et al.
Published: (2024)
Quantum Gradient Class Activation Map for Model Interpretability
by: Lin, Hsin-Yi, et al.
Published: (2024)
by: Lin, Hsin-Yi, et al.
Published: (2024)
Feature Entanglement-based Quantum Multimodal Fusion Neural Network
by: Wu, Yu, et al.
Published: (2026)
by: Wu, Yu, et al.
Published: (2026)
Multi-Scale Feature Fusion Quantum Depthwise Convolutional Neural Networks for Text Classification
by: Chen, Yixiong, et al.
Published: (2024)
by: Chen, Yixiong, et al.
Published: (2024)
Comparative Analysis of QNN Architectures for Wind Power Prediction: Feature Maps and Ansatz Configurations
by: Hangun, Batuhan, et al.
Published: (2025)
by: Hangun, Batuhan, et al.
Published: (2025)
A Unitary Weights Based One-Iteration Quantum Perceptron Algorithm for Non-Ideal Training Sets
by: Liu, Wenjie, et al.
Published: (2023)
by: Liu, Wenjie, et al.
Published: (2023)
Learning with Density Matrices and Random Features
by: González, Fabio A., et al.
Published: (2021)
by: González, Fabio A., et al.
Published: (2021)
Quantum Optimization for Training Quantum Neural Networks
by: Liao, Yidong, et al.
Published: (2021)
by: Liao, Yidong, et al.
Published: (2021)
Quantum Phase Recognition via Quantum Attention Mechanism
by: Chen, Jin-Long, et al.
Published: (2026)
by: Chen, Jin-Long, et al.
Published: (2026)
Meta-Learning for Quantum Optimization via Quantum Sequence Model
by: Lin, Yu-Cheng, et al.
Published: (2025)
by: Lin, Yu-Cheng, et al.
Published: (2025)
Quantum Architecture Search for Solving Quantum Machine Learning Tasks
by: Kölle, Michael, et al.
Published: (2025)
by: Kölle, Michael, et al.
Published: (2025)
Enhancing variational quantum algorithms by balancing training on classical and quantum hardware
by: Bhowmick, Rahul, et al.
Published: (2025)
by: Bhowmick, Rahul, et al.
Published: (2025)
Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise
by: Rahman, Ratun, et al.
Published: (2025)
by: Rahman, Ratun, et al.
Published: (2025)
Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning
by: Ordóñez, Sebastián Andrés Cajas, et al.
Published: (2025)
by: Ordóñez, Sebastián Andrés Cajas, et al.
Published: (2025)
Quantum Flow Matching
by: Cui, Zidong, et al.
Published: (2025)
by: Cui, Zidong, et al.
Published: (2025)
Soft-Quantum Algorithms
by: Kyriacou, Basil, et al.
Published: (2026)
by: Kyriacou, Basil, et al.
Published: (2026)
Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
by: Fan, Fan, et al.
Published: (2026)
by: Fan, Fan, et al.
Published: (2026)
QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization
by: Wang, Hanrui, et al.
Published: (2021)
by: Wang, Hanrui, et al.
Published: (2021)
The Role of Quantum in Hybrid Quantum-Classical Neural Networks: A Realistic Assessment
by: Freinberger, Dominik, et al.
Published: (2026)
by: Freinberger, Dominik, et al.
Published: (2026)
Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments
by: Jaouni, Tareq, et al.
Published: (2023)
by: Jaouni, Tareq, et al.
Published: (2023)
Quantum-Based Feature Selection for Multi-classification Problem in Complex Systems with Edge Computing
by: Liu, Wenjie, et al.
Published: (2023)
by: Liu, Wenjie, et al.
Published: (2023)
Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach
by: Xu, Yang, et al.
Published: (2025)
by: Xu, Yang, et al.
Published: (2025)
SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks
by: Kumar, Rahul, et al.
Published: (2025)
by: Kumar, Rahul, et al.
Published: (2025)
Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters
by: Aizpurua, Borja, et al.
Published: (2026)
by: Aizpurua, Borja, et al.
Published: (2026)
Shot-Based Quantum Encoding: A Data-Loading Paradigm for Quantum Neural Networks
by: Kyriacou, Basil, et al.
Published: (2026)
by: Kyriacou, Basil, et al.
Published: (2026)
QIXAI: A Quantum-Inspired Framework for Enhancing Classical and Quantum Model Transparency and Understanding
by: Willis, John M.
Published: (2024)
by: Willis, John M.
Published: (2024)
Quantum-Assisted Correlation Clustering
by: Macaluso, Antonio, et al.
Published: (2025)
by: Macaluso, Antonio, et al.
Published: (2025)
Quantum feature encoding optimization
by: Fioravanti, Tommaso, et al.
Published: (2025)
by: Fioravanti, Tommaso, et al.
Published: (2025)
Quantum Agents for Algorithmic Discovery
by: Kerenidis, Iordanis, et al.
Published: (2025)
by: Kerenidis, Iordanis, et al.
Published: (2025)
Similar Items
-
Iterative Quantum Feature Maps
by: Nasa Matsumoto, et al.
Published: (2026) -
Latent-Conditioned Parameterized Quantum Circuits as Universal Approximators for Distributions over Quantum States
by: Tran, Quoc Hoan, et al.
Published: (2026) -
Universality of Many-body Projected Ensemble for Learning Quantum Data Distribution
by: Tran, Quoc Hoan, et al.
Published: (2026) -
Learning Quantum Data Distribution via Chaotic Quantum Diffusion Model
by: Tran, Quoc Hoan, et al.
Published: (2026) -
Resource-efficient equivariant quantum convolutional neural networks
by: Chinzei, Koki, et al.
Published: (2024)