Generative Adversarial Networks for Resource State Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Shaik, Shahbaz, Chatterjee, Sourav, Pramanik, Sayantan, Chakrabarty, Indranil |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Generalization Limits of Quantum Generative Adversarial Networks with Pure State Generators
by: Frkatovic, Jasmin, et al.
Published: (2025)
by: Frkatovic, Jasmin, et al.
Published: (2025)
Quantum-Enhanced Generative Adversarial Networks: Comparative Analysis of Classical and Hybrid Quantum-Classical Generative Adversarial Networks
by: Goh, Kun Ming
Published: (2025)
by: Goh, Kun Ming
Published: (2025)
$i$Trust: Trust-Region Optimisation with Ising Machines
by: Pramanik, Sayantan, et al.
Published: (2024)
by: Pramanik, Sayantan, et al.
Published: (2024)
On the Generalization of Adversarially Trained Quantum Classifiers
by: Georgiou, Petros, et al.
Published: (2025)
by: Georgiou, Petros, et al.
Published: (2025)
Controlled State Reconstruction and Quantum Secret Sharing
by: Singh, Pahulpreet, et al.
Published: (2023)
by: Singh, Pahulpreet, et al.
Published: (2023)
Hybrid Quantum Generative Adversarial Networks for Molecular Simulation and Drug Discovery
by: Jain, Prateek, et al.
Published: (2022)
by: Jain, Prateek, et al.
Published: (2022)
Non-native Quantum Generative Optimization with Adversarial Autoencoders
by: Wilson, Blake A., et al.
Published: (2024)
by: Wilson, Blake A., et al.
Published: (2024)
Variational Quantum Circuits Enhanced Generative Adversarial Network
by: Shu, Runqiu, et al.
Published: (2024)
by: Shu, Runqiu, et al.
Published: (2024)
Quantum Generative Adversarial Autoencoders: Learning latent representations for quantum data generation
by: Raj, Naipunnya, et al.
Published: (2025)
by: Raj, Naipunnya, et al.
Published: (2025)
Quantum State Generation with Structure-Preserving Diffusion Model
by: Zhu, Yuchen, et al.
Published: (2024)
by: Zhu, Yuchen, et al.
Published: (2024)
The Quantum Learning Menagerie (A survey on Quantum learning for Classical concepts)
by: Chatterjee, Sagnik
Published: (2026)
by: Chatterjee, Sagnik
Published: (2026)
Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance
by: Ganguly, Santanu
Published: (2023)
by: Ganguly, Santanu
Published: (2023)
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)
Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis
by: Georgiou, Petros, et al.
Published: (2024)
by: Georgiou, Petros, et al.
Published: (2024)
One Coordinate at a Time: Convergence Guarantees for Rotosolve in Variational Quantum Algorithms
by: Pramanik, Sayantan, et al.
Published: (2026)
by: Pramanik, Sayantan, et al.
Published: (2026)
Stochastic Shadow Descent: Training Parametrized Quantum Circuits with Shadows of Gradients
by: Pramanik, Sayantan, et al.
Published: (2025)
by: Pramanik, Sayantan, et al.
Published: (2025)
Revocation and Reconstruction of Shared Quantum States
by: Mudholkar, Prakash, et al.
Published: (2021)
by: Mudholkar, Prakash, et al.
Published: (2021)
Revocation and Reconstruction of Shared Quantum States
by: Mudholkar, Prakash, et al.
Published: (2025)
by: Mudholkar, Prakash, et al.
Published: (2025)
Neural Networks Generalize on Low Complexity Data
by: Chatterjee, Sourav, et al.
Published: (2024)
by: Chatterjee, Sourav, et al.
Published: (2024)
Quantum Mixed-State Self-Attention Network
by: Chen, Fu, et al.
Published: (2024)
by: Chen, Fu, et al.
Published: (2024)
Efficient Quantum Agnostic Improper Learning of Decision Trees
by: Chatterjee, Sagnik, et al.
Published: (2022)
by: Chatterjee, Sagnik, et al.
Published: (2022)
Guess, SWAP, Repeat : Capturing Quantum Snapshots in Classical Memory
by: Kundu, Debarshi, et al.
Published: (2025)
by: Kundu, Debarshi, et al.
Published: (2025)
Reinforcement Learning Generation of 4-Qubits Entangled States
by: Giordano, Sara, et al.
Published: (2022)
by: Giordano, Sara, et al.
Published: (2022)
QFAL: Quantum Federated Adversarial Learning
by: Maouaki, Walid El, et al.
Published: (2025)
by: Maouaki, Walid El, et al.
Published: (2025)
Excited Pfaffians: Generalized Neural Wave Functions Across Structure and State
by: Gao, Nicholas, et al.
Published: (2026)
by: Gao, Nicholas, et al.
Published: (2026)
Generative Learning of Continuous Data by Tensor Networks
by: Meiburg, Alex, et al.
Published: (2023)
by: Meiburg, Alex, et al.
Published: (2023)
Quantum Generator Kernels
by: Altmann, Philipp, et al.
Published: (2026)
by: Altmann, Philipp, et al.
Published: (2026)
Quantum Generative Models for Image Generation: Insights from MNIST and MedMNIST
by: Chen, Chi-Sheng, et al.
Published: (2025)
by: Chen, Chi-Sheng, et al.
Published: (2025)
QFDNN: A Resource-Efficient Variational Quantum Feature Deep Neural Networks for Fraud Detection and Loan Prediction
by: Das, Subham, et al.
Published: (2025)
by: Das, Subham, et al.
Published: (2025)
Quantum Unsupervised and Supervised Learning on Superconducting Processors
by: Sarma, Abhijat, et al.
Published: (2019)
by: Sarma, Abhijat, et al.
Published: (2019)
Generalization Study of Quantum Neural Network
by: Jiang, JinZhe, et al.
Published: (2020)
by: Jiang, JinZhe, et al.
Published: (2020)
Tensor Network Generator-Enhanced Optimization for Traveling Salesman Problem
by: Sakai, Ryo, et al.
Published: (2026)
by: Sakai, Ryo, et al.
Published: (2026)
Maximal Secret Reconstruction, Teleportation and Bell's Inequality
by: Abrol, Pratishtha, et al.
Published: (2024)
by: Abrol, Pratishtha, et al.
Published: (2024)
On fully entangled fraction and quantum conditional entropies for states with maximally mixed marginals
by: Kumar, Komal, et al.
Published: (2024)
by: Kumar, Komal, et al.
Published: (2024)
Variational Optimization for Quantum Problems using Deep Generative Networks
by: Zhang, Lingxia, et al.
Published: (2024)
by: Zhang, Lingxia, et al.
Published: (2024)
Adversarial Effects on Expressibility and Trainability in Distributed Variational Quantum Algorithms
by: Sadhu, Abhishek, et al.
Published: (2026)
by: Sadhu, Abhishek, et al.
Published: (2026)
RobQFL: Robust Quantum Federated Learning in Adversarial Environment
by: Maouaki, Walid El, et al.
Published: (2025)
by: Maouaki, Walid El, et al.
Published: (2025)
Empirical Sample Complexity of Neural Network Mixed State Reconstruction
by: Zhao, Haimeng, et al.
Published: (2023)
by: Zhao, Haimeng, et al.
Published: (2023)
Synthetic Data Generation and Differential Privacy using Tensor Networks' Matrix Product States (MPS)
by: R., Alejandro Moreno, et al.
Published: (2025)
by: R., Alejandro Moreno, et al.
Published: (2025)
Generative Quantum Data Embeddings for Supervised Learning
by: Heo, Jaewoong, et al.
Published: (2026)
by: Heo, Jaewoong, et al.
Published: (2026)
Similar Items
-
On the Generalization Limits of Quantum Generative Adversarial Networks with Pure State Generators
by: Frkatovic, Jasmin, et al.
Published: (2025) -
Quantum-Enhanced Generative Adversarial Networks: Comparative Analysis of Classical and Hybrid Quantum-Classical Generative Adversarial Networks
by: Goh, Kun Ming
Published: (2025) -
$i$Trust: Trust-Region Optimisation with Ising Machines
by: Pramanik, Sayantan, et al.
Published: (2024) -
On the Generalization of Adversarially Trained Quantum Classifiers
by: Georgiou, Petros, et al.
Published: (2025) -
Controlled State Reconstruction and Quantum Secret Sharing
by: Singh, Pahulpreet, et al.
Published: (2023)