Quantum Generative Modeling using Parameterized Quantum Circuits
Fuente:
arXiv
Saved in:
| Main Author: | Sarkar, Soumyadip |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Quantum Transfer Learning for MNIST Classification Using a Hybrid Quantum-Classical Approach
by: Sarkar, Soumyadip
Published: (2024)
by: Sarkar, Soumyadip
Published: (2024)
Leveraging Diffusion Models for Parameterized Quantum Circuit Generation
by: Barta, Daniel, et al.
Published: (2025)
by: Barta, Daniel, et al.
Published: (2025)
Enhancing Quantum Variational Algorithms with Zero Noise Extrapolation via Neural Networks
by: Bhattacharjee, Subhasree, et al.
Published: (2024)
by: Bhattacharjee, Subhasree, et al.
Published: (2024)
Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
by: Nguyen, Hoang-Quan, et al.
Published: (2024)
by: Nguyen, Hoang-Quan, et al.
Published: (2024)
Special-Unitary Parameterization for Trainable Variational Quantum Circuits
by: Chen, Kuan-Cheng, et al.
Published: (2025)
by: Chen, Kuan-Cheng, et al.
Published: (2025)
Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits
by: Yu, Zhan, et al.
Published: (2023)
by: Yu, Zhan, et al.
Published: (2023)
Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation
by: Aktar, Shamminuj, et al.
Published: (2024)
by: Aktar, Shamminuj, et al.
Published: (2024)
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)
Q-Tag: Watermarking Quantum Circuit Generative Models
by: Yang, Yang, et al.
Published: (2026)
by: Yang, Yang, et al.
Published: (2026)
Parameterized Quantum Circuits as Feature Maps: Representation Quality and Readout Effects in Multispectral Land-Cover Classification
by: Komini, Ralntion, et al.
Published: (2026)
by: Komini, Ralntion, et al.
Published: (2026)
Physics-Informed Neural Networks for One-Dimensional Quantum Well Problems
by: Sarkar, Soumyadip
Published: (2025)
by: Sarkar, Soumyadip
Published: (2025)
KetGPT - Dataset Augmentation of Quantum Circuits using Transformers
by: Apak, Boran, et al.
Published: (2024)
by: Apak, Boran, et al.
Published: (2024)
On Quantum Circuits for Discrete Graphical Models
by: Piatkowski, Nico, et al.
Published: (2022)
by: Piatkowski, Nico, et al.
Published: (2022)
Statistics-Informed Parameterized Quantum Circuit via Maximum Entropy Principle for Data Science and Finance
by: Zhuang, Xi-Ning, et al.
Published: (2024)
by: Zhuang, Xi-Ning, et al.
Published: (2024)
Taming Barren Plateaus in Arbitrary Parameterized Quantum Circuits without Sacrificing Expressibility
by: Chen, Zhenyu, et al.
Published: (2025)
by: Chen, Zhenyu, et al.
Published: (2025)
On Encoding Matrices using Quantum Circuits
by: Yosef, Liron Mor, et al.
Published: (2025)
by: Yosef, Liron Mor, et al.
Published: (2025)
LLM-Guided Ansätze Design for Quantum Circuit Born Machines in Financial Generative Modeling
by: Gujju, Yaswitha, et al.
Published: (2025)
by: Gujju, Yaswitha, et al.
Published: (2025)
From Characterization To Construction: Generative Quantum Circuit Synthesis from Gate Set Tomography Data
by: Yu, King Yiu, et al.
Published: (2026)
by: Yu, King Yiu, et al.
Published: (2026)
QBalance: A Reproducible Multi-Objective Workflow for Quantum Compilation, Noise Suppression, and Error-Mitigation Strategy Selection
by: Sarkar, Soumyadip
Published: (2026)
by: Sarkar, Soumyadip
Published: (2026)
Quantum Hierarchical Reinforcement Learning via Variational Quantum Circuits
by: Lee, Yu-Ting, et al.
Published: (2026)
by: Lee, Yu-Ting, et al.
Published: (2026)
Hybrid Classical-Quantum Transfer Learning with Noisy Quantum Circuits
by: Martín-Pérez, D., et al.
Published: (2026)
by: Martín-Pérez, D., et al.
Published: (2026)
Active Learning with Variational Quantum Circuits for Quantum Process Tomography
by: Yang, Jiaqi, et al.
Published: (2024)
by: Yang, Jiaqi, et al.
Published: (2024)
Parametrized Quantum Circuit Learning for Quantum Chemical Applications
by: Jones, Grier M., et al.
Published: (2025)
by: Jones, Grier M., et al.
Published: (2025)
Domain-Aware Quantum Circuit for QML
by: Singh, Gurinder, et al.
Published: (2025)
by: Singh, Gurinder, et al.
Published: (2025)
Quantum Circuit Optimization with AlphaTensor
by: Ruiz, Francisco J. R., et al.
Published: (2024)
by: Ruiz, Francisco J. R., et al.
Published: (2024)
Reinforcement Learning for Parameterized Quantum State Preparation: A Comparative Study
by: Stenzel, Gerhard, et al.
Published: (2026)
by: Stenzel, Gerhard, et al.
Published: (2026)
FlowQ-Net: A Generative Framework for Automated Quantum Circuit Design
by: Dai, Jun, et al.
Published: (2025)
by: Dai, Jun, et al.
Published: (2025)
Quantum Circuit Generation via test-time learning with large language models
by: Macarone-Palmieri, Adriano, et al.
Published: (2026)
by: Macarone-Palmieri, Adriano, et al.
Published: (2026)
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
by: Heese, Raoul, et al.
Published: (2023)
by: Heese, Raoul, et al.
Published: (2023)
Challenges for Reinforcement Learning in Quantum Circuit Design
by: Altmann, Philipp, et al.
Published: (2023)
by: Altmann, Philipp, et al.
Published: (2023)
Neural Guided Sampling for Quantum Circuit Optimization
by: Rosenhahn, Bodo, et al.
Published: (2025)
by: Rosenhahn, Bodo, et al.
Published: (2025)
Reinforcement Learning for Variational Quantum Circuits Design
by: Foderà, Simone, et al.
Published: (2024)
by: Foderà, Simone, et al.
Published: (2024)
Quantum Circuit Training with Growth-Based Architectures
by: Duffy, Callum, et al.
Published: (2024)
by: Duffy, Callum, et al.
Published: (2024)
Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State Ensemble
by: Chen, Chuangtao, et al.
Published: (2024)
by: Chen, Chuangtao, et al.
Published: (2024)
MEMO-QCD: Quantum Density Estimation through Memetic Optimisation for Quantum Circuit Design
by: Ardila-García, Juan E., et al.
Published: (2024)
by: Ardila-García, Juan E., et al.
Published: (2024)
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)
Differentiable Logical Programming for Quantum Circuit Discovery and Optimization
by: Sulc, Antonin
Published: (2026)
by: Sulc, Antonin
Published: (2026)
Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis
by: Yeung, Richie, et al.
Published: (2026)
by: Yeung, Richie, et al.
Published: (2026)
Enhancing the Trainability of Variational Quantum Circuits with Regularization Strategies
by: Zhuang, Jun, et al.
Published: (2024)
by: Zhuang, Jun, et al.
Published: (2024)
Data Complexity Measures for Quantum Circuits Architecture Recommendation
by: Neto, Fernando M de Paula
Published: (2025)
by: Neto, Fernando M de Paula
Published: (2025)
Similar Items
-
Quantum Transfer Learning for MNIST Classification Using a Hybrid Quantum-Classical Approach
by: Sarkar, Soumyadip
Published: (2024) -
Leveraging Diffusion Models for Parameterized Quantum Circuit Generation
by: Barta, Daniel, et al.
Published: (2025) -
Enhancing Quantum Variational Algorithms with Zero Noise Extrapolation via Neural Networks
by: Bhattacharjee, Subhasree, et al.
Published: (2024) -
Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
by: Nguyen, Hoang-Quan, et al.
Published: (2024) -
Special-Unitary Parameterization for Trainable Variational Quantum Circuits
by: Chen, Kuan-Cheng, et al.
Published: (2025)