Imagen de Portada

Quantum Deep Sets and Sequences

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Vargas-Calderón, Vladimir
Formato:	Preprint
Publicado:	2025
Materias:	Quantum Physics Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

An Empirical Study of Quantum Dynamics as a Ground State Problem with Neural Quantum States
por: Vargas-Calderón, Vladimir, et al.
Publicado: (2022)

MEMO-QCD: Quantum Density Estimation through Memetic Optimisation for Quantum Circuit Design
por: Ardila-García, Juan E., et al.
Publicado: (2024)

Variational decision diagrams for quantum-inspired machine learning applications
por: Vargas-Calderón, Vladimir, et al.
Publicado: (2025)

Quantum Deep Equilibrium Models
por: Schleich, Philipp, et al.
Publicado: (2024)

Deep Sequence Modeling with Quantum Dynamics: Language as a Wave Function
por: Nebli, Ahmed, et al.
Publicado: (2026)

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

Learning with Density Matrices and Random Features
por: González, Fabio A., et al.
Publicado: (2021)

Empirical Study of Observable Sets in Multiclass Quantum Classification
por: Sebastian, Paul San, et al.
Publicado: (2026)

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

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

Deep Learning Approaches to Quantum Error Mitigation
por: Placidi, Leonardo, et al.
Publicado: (2026)

Quantum Deep Learning: A Comprehensive Review
por: Ji, Yanjun, et al.
Publicado: (2026)

The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning
por: Incudini, Massimiliano, et al.
Publicado: (2022)

Predictive Performance of Deep Quantum Data Re-uploading Models
por: Wang, Xin, et al.
Publicado: (2025)

Sequence-Model-Guided Measurement Selection for Quantum State Learning
por: Huang, Jiaxin, et al.
Publicado: (2025)

Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning
por: Peng, Kuo-Chung, et al.
Publicado: (2026)

Transfer Learning for Deep-Unfolded Combinatorial Optimization Solver with Quantum Annealer
por: Hagiwara, Ryo, et al.
Publicado: (2025)

Rethink the Role of Deep Learning towards Large-scale Quantum Systems
por: Zhao, Yusheng, et al.
Publicado: (2025)

Quantum Deep Hedging
por: Cherrat, El Amine, et al.
Publicado: (2023)

Quantum Attention by Overlap Interference: Predicting Sequences from Classical and Many-Body Quantum Data
por: Pecilli, Alessio, et al.
Publicado: (2026)

Quantum Neural Networks in Practice: A Comparative Study with Classical Models from Standard Data Sets to Industrial Images
por: Basilewitsch, Daniel, et al.
Publicado: (2024)

Quantum Enhanced Anomaly Detection for ADS-B Data using Hybrid Deep Learning
por: Naaman, Rani, et al.
Publicado: (2025)

Breaking Through Barren Plateaus: Reinforcement Learning Initializations for Deep Variational Quantum Circuits
por: Peng, Yifeng, et al.
Publicado: (2025)

Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks
por: Chinzei, Koki, et al.
Publicado: (2024)

Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
por: Zhang, Kaining, et al.
Publicado: (2022)

Using Quantum Solved Deep Boltzmann Machines to Increase the Data Efficiency of RL Agents
por: Kent, Daniel, et al.
Publicado: (2024)

Quantum Deep Reinforcement Learning for Robot Navigation Tasks
por: Hohenfeld, Hans, et al.
Publicado: (2022)

Non-native Quantum Generative Optimization with Adversarial Autoencoders
por: Wilson, Blake A., et al.
Publicado: (2024)

Deep Neural Network Emulation of the Quantum-Classical Transition via Learned Wigner Function Dynamics
por: Majid, Kamran
Publicado: (2025)

QFDNN: A Resource-Efficient Variational Quantum Feature Deep Neural Networks for Fraud Detection and Loan Prediction
por: Das, Subham, et al.
Publicado: (2025)

Molecular Design beyond Training Data with Novel Extended Objective Functionals of Generative AI Models Driven by Quantum Annealing Computer
por: Kunugi, Hayato, et al.
Publicado: (2026)

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

From Characterization To Construction: Generative Quantum Circuit Synthesis from Gate Set Tomography Data
por: Yu, King Yiu, et al.
Publicado: (2026)

Physics-Aware Learnability: From Set-Theoretic Independence to Operational Constraints
por: Bang, Jeongho, et al.
Publicado: (2026)

Variational Optimization for Quantum Problems using Deep Generative Networks
por: Zhang, Lingxia, et al.
Publicado: (2024)

QAOA Parameter Transferability for Maximum Independent Set using Graph Attention Networks
por: Xu, Hanjing, et al.
Publicado: (2025)

Deep Stochastic Mechanics
por: Orlova, Elena, et al.
Publicado: (2023)

On Quantum Perceptron Learning via Quantum Search
por: Sun, Xiaoyu, et al.
Publicado: (2025)

Quantum Machine Learning: Quantum Kernel Methods
por: Naguleswaran, Sanjeev
Publicado: (2024)

How Can Quantum Deep Learning Improve Large Language Models?
por: Roh, Emily Jimin, et al.
Publicado: (2025)