Cover Image

Mixed-State Quantum Denoising Diffusion Probabilistic Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kwun, Gino, Zhang, Bingzhi, Zhuang, Quntao
Format:	Preprint
Published:	2024
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

An Analytic Theory of Quantum Imaginary Time Evolution
by: Chen, Min, et al.
Published: (2025)

Generative quantum machine learning via denoising diffusion probabilistic models
by: Zhang, Bingzhi, et al.
Published: (2023)

Energy-dependent barren plateau in bosonic variational quantum circuits
by: Zhang, Bingzhi, et al.
Published: (2023)

Quantum-data-driven dynamical transition in quantum learning
by: Zhang, Bingzhi, et al.
Published: (2024)

Dynamical transition in controllable quantum neural networks with large depth
by: Zhang, Bingzhi, et al.
Published: (2023)

Anticoncentrated $n$-bit distribution from $\log(n)$ qubits
by: Zhang, Bingzhi, et al.
Published: (2025)

Quantum-enhanced learning with a controllable bosonic variational sensor network
by: Liao, Pengcheng, et al.
Published: (2024)

Mitigating Barren Plateaus in Quantum Denoising Diffusion Probabilistic Model
by: Cao, Haipeng, et al.
Published: (2025)

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

Large Language Models Can Help Mitigate Barren Plateaus in Quantum Neural Networks
by: Zhuang, Jun, et al.
Published: (2025)

UDiTQC: U-Net-Style Diffusion Transformer for Quantum Circuit Synthesis
by: Chen, Zhiwei, et al.
Published: (2025)

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

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

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

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

Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters
by: Aizpurua, Borja, et al.
Published: (2026)

Model-based Offline Quantum Reinforcement Learning
by: Eisenmann, Simon, et al.
Published: (2024)

Quantum Flow Matching
by: Cui, Zidong, et al.
Published: (2025)

Quantum Gradient Class Activation Map for Model Interpretability
by: Lin, Hsin-Yi, et al.
Published: (2024)

Quantum Large Language Models via Tensor Network Disentanglers
by: Aizpurua, Borja, et al.
Published: (2024)

QuXAI: Explainers for Hybrid Quantum Machine Learning Models
by: Barua, Saikat, et al.
Published: (2025)

TabularQGAN: A Quantum Generative Model for Tabular Data
by: Bhardwaj, Pallavi, et al.
Published: (2025)

Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks
by: Chaudhary, Devashish, et al.
Published: (2026)

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

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

Noise-Agnostic Quantum Error Mitigation with Data Augmented Neural Models
by: Liao, Manwen, et al.
Published: (2023)

Robust and Efficient Quantum Reservoir Computing with Discrete Time Crystal
by: Zhang, Da, et al.
Published: (2025)

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

GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching
by: Wang, Haoran, et al.
Published: (2024)

Quantum-Inspired Stacked Integrated Concept Graph Model (QISICGM) for Diabetes Risk Prediction
by: Young II, Kenneth G.
Published: (2025)

Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation
by: Dobhal, Umang, et al.
Published: (2026)

ConQuER: Modular Architectures for Control and Bias Mitigation in IQP Quantum Generative Models
by: Zou, Xiaocheng, et al.
Published: (2025)

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits
by: Li, Yuqing, et al.
Published: (2024)

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

Quantum Machine Learning-based 6G edge Network: Enabling Adaptive Communication and Model Aggregation
by: Xiao, Wenjing, et al.
Published: (2026)

Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise
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)

Soft-Quantum Algorithms
by: Kyriacou, Basil, et al.
Published: (2026)

QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization
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)