Generative quantum machine learning via denoising diffusion probabilistic models
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Bingzhi, Xu, Peng, Chen, Xiaohui, Zhuang, Quntao |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mixed-State Quantum Denoising Diffusion Probabilistic Model
by: Kwun, Gino, et al.
Published: (2024)
by: Kwun, Gino, et al.
Published: (2024)
An Analytic Theory of Quantum Imaginary Time Evolution
by: Chen, Min, et al.
Published: (2025)
by: Chen, Min, et al.
Published: (2025)
Energy-dependent barren plateau in bosonic variational quantum circuits
by: Zhang, Bingzhi, et al.
Published: (2023)
by: Zhang, Bingzhi, et al.
Published: (2023)
Quantum-data-driven dynamical transition in quantum learning
by: Zhang, Bingzhi, et al.
Published: (2024)
by: Zhang, Bingzhi, et al.
Published: (2024)
Hierarchy of discriminative power and complexity in learning quantum ensembles
by: Yao, Jian, et al.
Published: (2026)
by: Yao, Jian, et al.
Published: (2026)
Universal scaling laws in quantum-probabilistic machine learning by tensor network towards interpreting representation and generalization powers
by: Bai, Sheng-Chen, et al.
Published: (2024)
by: Bai, Sheng-Chen, et al.
Published: (2024)
Shadows of quantum machine learning
by: Jerbi, Sofiene, et al.
Published: (2023)
by: Jerbi, Sofiene, et al.
Published: (2023)
Holographic deep thermalization for secure and efficient quantum random state generation
by: Zhang, Bingzhi, et al.
Published: (2024)
by: Zhang, Bingzhi, et al.
Published: (2024)
Dynamical transition in controllable quantum neural networks with large depth
by: Zhang, Bingzhi, et al.
Published: (2023)
by: Zhang, Bingzhi, et al.
Published: (2023)
Training-efficient density quantum machine learning
by: Coyle, Brian, et al.
Published: (2024)
by: Coyle, Brian, et al.
Published: (2024)
Generative method for aerodynamic optimization based on classifier-free guided denoising diffusion probabilistic model
by: Deng, Shisong, et al.
Published: (2025)
by: Deng, Shisong, et al.
Published: (2025)
Quantum-inspired tensor networks in machine learning models
by: Valverde, Guillermo, et al.
Published: (2026)
by: Valverde, Guillermo, et al.
Published: (2026)
Training quantum machine learning models on cloud without uploading the data
by: He, Guang Ping
Published: (2024)
by: He, Guang Ping
Published: (2024)
Synthesis of discrete-continuous quantum circuits with multimodal diffusion models
by: Fürrutter, Florian, et al.
Published: (2025)
by: Fürrutter, Florian, et al.
Published: (2025)
Quantum-enhanced learning with a controllable bosonic variational sensor network
by: Liao, Pengcheng, et al.
Published: (2024)
by: Liao, Pengcheng, et al.
Published: (2024)
Anticoncentrated $n$-bit distribution from $\log(n)$ qubits
by: Zhang, Bingzhi, et al.
Published: (2025)
by: Zhang, Bingzhi, et al.
Published: (2025)
Towards efficient quantum algorithms for diffusion probabilistic models
by: Wang, Yunfei, et al.
Published: (2025)
by: Wang, Yunfei, et al.
Published: (2025)
A quantum-classical reinforcement learning model to play Atari games
by: Freinberger, Dominik, et al.
Published: (2024)
by: Freinberger, Dominik, et al.
Published: (2024)
Sample-efficient quantum error mitigation via classical learning surrogates
by: Liao, Wei-You, et al.
Published: (2025)
by: Liao, Wei-You, et al.
Published: (2025)
Quantum circuit synthesis with diffusion models
by: Fürrutter, Florian, et al.
Published: (2023)
by: Fürrutter, Florian, et al.
Published: (2023)
Reinforcement learning for quantum processes with memory
by: Lumbreras, Josep, et al.
Published: (2026)
by: Lumbreras, Josep, et al.
Published: (2026)
Reinforcement learning-assisted quantum architecture search for variational quantum algorithms
by: Kundu, Akash
Published: (2024)
by: Kundu, Akash
Published: (2024)
Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware
by: Kundu, Akash, et al.
Published: (2024)
by: Kundu, Akash, et al.
Published: (2024)
The power and limitations of learning quantum dynamics incoherently
by: Jerbi, Sofiene, et al.
Published: (2023)
by: Jerbi, Sofiene, et al.
Published: (2023)
Enhancing variational quantum state diagonalization using reinforcement learning techniques
by: Kundu, Akash, et al.
Published: (2023)
by: Kundu, Akash, et al.
Published: (2023)
Curriculum reinforcement learning for quantum architecture search under hardware errors
by: Patel, Yash J., et al.
Published: (2024)
by: Patel, Yash J., et al.
Published: (2024)
Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver
by: Minami, Shunya, et al.
Published: (2025)
by: Minami, Shunya, et al.
Published: (2025)
Variational measurement-based quantum computation for generative modeling
by: Majumder, Arunava, et al.
Published: (2023)
by: Majumder, Arunava, et al.
Published: (2023)
Analogy between Boltzmann machines and Feynman path integrals
by: Iyengar, Srinivasan S., et al.
Published: (2023)
by: Iyengar, Srinivasan S., et al.
Published: (2023)
Minimizing classical resources in variational measurement-based quantum computation for generative modeling
by: Majumder, Arunava, et al.
Published: (2026)
by: Majumder, Arunava, et al.
Published: (2026)
BenchRL-QAS: Benchmarking reinforcement learning algorithms for quantum architecture search
by: Ikhtiarudin, Azhar, et al.
Published: (2025)
by: Ikhtiarudin, Azhar, et al.
Published: (2025)
Discovering emergent connections in quantum physics research via dynamic word embeddings
by: Frohnert, Felix, et al.
Published: (2024)
by: Frohnert, Felix, et al.
Published: (2024)
FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting
by: Zhong, Xiaohui, et al.
Published: (2024)
by: Zhong, Xiaohui, et al.
Published: (2024)
FuXi-S2S: A machine learning model that outperforms conventional global subseasonal forecast models
by: Chen, Lei, et al.
Published: (2023)
by: Chen, Lei, et al.
Published: (2023)
Privacy-preserving machine learning with tensor networks
by: Pozas-Kerstjens, Alejandro, et al.
Published: (2022)
by: Pozas-Kerstjens, Alejandro, et al.
Published: (2022)
Quantum Phase Recognition via Quantum Attention Mechanism
by: Chen, Jin-Long, et al.
Published: (2026)
by: Chen, Jin-Long, et al.
Published: (2026)
Quantum spatial best-arm identification via quantum walks
by: Yamagami, Tomoki, et al.
Published: (2025)
by: Yamagami, Tomoki, et al.
Published: (2025)
Artificial intelligence for representing and characterizing quantum systems
by: Du, Yuxuan, et al.
Published: (2025)
by: Du, Yuxuan, et al.
Published: (2025)
An efficient probabilistic hardware architecture for diffusion-like models
by: Jelinčič, Andraž, et al.
Published: (2025)
by: Jelinčič, Andraž, et al.
Published: (2025)
Quantum automated learning with provable and explainable trainability
by: Ye, Qi, et al.
Published: (2025)
by: Ye, Qi, et al.
Published: (2025)
Similar Items
-
Mixed-State Quantum Denoising Diffusion Probabilistic Model
by: Kwun, Gino, et al.
Published: (2024) -
An Analytic Theory of Quantum Imaginary Time Evolution
by: Chen, Min, et al.
Published: (2025) -
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) -
Hierarchy of discriminative power and complexity in learning quantum ensembles
by: Yao, Jian, et al.
Published: (2026)