Cover Image

Quantum Complex-Valued Self-Attention Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Fu, Zhao, Qinglin, Feng, Li, Tang, Longfei, Lin, Yangbin, Huang, Haitao
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantum Mixed-State Self-Attention Network
by: Chen, Fu, et al.
Published: (2024)

Continuous-variable Quantum Diffusion Model for State Generation and Restoration
by: Huang, Haitao, et al.
Published: (2025)

Quantum Adaptive Self-Attention for Quantum Transformer Models
by: Chen, Chi-Sheng, et al.
Published: (2025)

Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State Ensemble
by: Chen, Chuangtao, et al.
Published: (2024)

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning
by: Chen, Chuangtao, et al.
Published: (2025)

Beyond Classical Attention: Quantum Attention for Scalable Computation
by: Guo, Xuyang, et al.
Published: (2023)

Quantum Phase Recognition via Quantum Attention Mechanism
by: Chen, Jin-Long, et al.
Published: (2026)

Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention
by: Evans, Ethan N., et al.
Published: (2024)

Enhancing Quantum Diffusion Models for Complex Image Generation
by: Jo, Jeongbin, et al.
Published: (2026)

Quantum Adaptive Self-Attention for Financial Rebalancing: An Empirical Study on Automated Market Makers in Decentralized Finance
by: Chen, Chi-Sheng, et al.
Published: (2025)

CopyQNN: Quantum Neural Network Extraction Attack under Varying Quantum Noise
by: Fu, Zhenxiao, et al.
Published: (2025)

Toward Generative Quantum Utility via Correlation-Complexity Map
by: Liu, Chen-Yu, et al.
Published: (2026)

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

Quantum Graph Attention Networks: Trainable Quantum Encoders for Inductive Graph Learning
by: Faria, Arthur M., et al.
Published: (2025)

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

Quantum AS-DeepOnet: Quantum Attentive Stacked DeepONet for Solving 2D Evolution Equations
by: Wang, Hongquan, et al.
Published: (2026)

Benchmarking Machine Learning Models for Quantum Error Correction
by: Zhao, Yue
Published: (2023)

AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling
by: Dutta, Siddhant, et al.
Published: (2024)

On the Sample Complexity of Quantum Boltzmann Machine Learning
by: Coopmans, Luuk, et al.
Published: (2023)

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits
by: Fu, Zhenxiao, et al.
Published: (2026)

Structured Unitary Tensor Network Representations for Circuit-Efficient Quantum Data Encoding
by: Lin, Guang, et al.
Published: (2026)

Quantum Reservoir Computing with Neutral Atoms on a Small, Complex, Medical Dataset
by: Antoncich, Luke, et al.
Published: (2026)

Data Complexity Measures for Quantum Circuits Architecture Recommendation
by: Neto, Fernando M de Paula
Published: (2025)

Sublinear Time Quantum Algorithm for Attention Approximation
by: Song, Zhao, et al.
Published: (2026)

Generative Quantum-inspired Kolmogorov-Arnold Eigensolver
by: Lin, Yu-Cheng, et al.
Published: (2026)

QuantumLeak: Stealing Quantum Neural Networks from Cloud-based NISQ Machines
by: Fu, Zhenxiao, et al.
Published: (2024)

Predicting Properties of Quantum Systems with Conditional Generative Models
by: Wang, Haoxiang, et al.
Published: (2022)

Q-Tag: Watermarking Quantum Circuit Generative Models
by: Yang, Yang, et al.
Published: (2026)

A New Quantum CNN Model for Image Classification
by: Zhao, X. Q., et al.
Published: (2022)

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

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

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential
by: Kadri, Hachem, et al.
Published: (2025)

Quantum State Generation with Structure-Preserving Diffusion Model
by: Zhu, Yuchen, et al.
Published: (2024)

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

A Survey of Classical And Quantum Sequence Models
by: Chen, I-Chi, et al.
Published: (2023)

HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems
by: Shihab, Ibne Farabi, et al.
Published: (2025)

Vectorized Attention with Learnable Encoding for Quantum Transformer
by: Guo, Ziqing, et al.
Published: (2025)

PALQO: Physics-informed Model for Accelerating Large-scale Quantum Optimization
by: Huang, Yiming, et al.
Published: (2025)

Meta-Designing Quantum Experiments with Language Models
by: Arlt, Sören, et al.
Published: (2024)

You Only Measure Once: On Designing Single-Shot Quantum Machine Learning Models
by: Liu, Chen-Yu, et al.
Published: (2025)