KANQAS: Kolmogorov-Arnold Network for Quantum Architecture Search
Fuente:
arXiv
Guardado en:
| Autores principales: | Kundu, Akash, Sarkar, Aritra, Sadhu, Abhishek |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
KetGPT - Dataset Augmentation of Quantum Circuits using Transformers
por: Apak, Boran, et al.
Publicado: (2024)
por: Apak, Boran, et al.
Publicado: (2024)
Replay-buffer engineering for noise-robust quantum circuit optimization
por: Kundu, Akash, et al.
Publicado: (2026)
por: Kundu, Akash, et al.
Publicado: (2026)
TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search
por: Kundu, Akash, et al.
Publicado: (2025)
por: Kundu, Akash, et al.
Publicado: (2025)
Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation
por: Chen, Samuel Yen-Chi, et al.
Publicado: (2025)
por: Chen, Samuel Yen-Chi, et al.
Publicado: (2025)
Introduction to Quantum Machine Learning and Quantum Architecture Search
por: Chen, Samuel Yen-Chi, et al.
Publicado: (2025)
por: Chen, Samuel Yen-Chi, et al.
Publicado: (2025)
Variational Quantum Circuits Enhanced Generative Adversarial Network
por: Shu, Runqiu, et al.
Publicado: (2024)
por: Shu, Runqiu, et al.
Publicado: (2024)
Q-fid: Quantum Circuit Fidelity Improvement with LSTM Networks
por: Mao, Yikai, et al.
Publicado: (2023)
por: Mao, Yikai, et al.
Publicado: (2023)
Quantum Long Short-term Memory with Differentiable Architecture Search
por: Chen, Samuel Yen-Chi, et al.
Publicado: (2025)
por: Chen, Samuel Yen-Chi, et al.
Publicado: (2025)
Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance
por: Ganguly, Santanu
Publicado: (2023)
por: Ganguly, Santanu
Publicado: (2023)
Quantum Machine Learning Architecture Search via Deep Reinforcement Learning
por: Dai, Xin, et al.
Publicado: (2024)
por: Dai, Xin, et al.
Publicado: (2024)
Quantum Data Center: Perspectives
por: Liu, Junyu, et al.
Publicado: (2023)
por: Liu, Junyu, et al.
Publicado: (2023)
Component Based Quantum Machine Learning Explainability
por: White, Barra, et al.
Publicado: (2025)
por: White, Barra, et al.
Publicado: (2025)
Applying Quantum Autoencoders for Time Series Anomaly Detection
por: Frehner, Robin, et al.
Publicado: (2024)
por: Frehner, Robin, et al.
Publicado: (2024)
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning
por: Li, Bacui, et al.
Publicado: (2024)
por: Li, Bacui, et al.
Publicado: (2024)
A Quantum States Preparation Method Based on Difference-Driven Reinforcement Learning
por: Liu, Wenjie, et al.
Publicado: (2023)
por: Liu, Wenjie, et al.
Publicado: (2023)
Measuring Accuracy and Energy-to-Solution of Quantum Fine-Tuning of Foundational AI Models
por: Knitter, Oliver, et al.
Publicado: (2026)
por: Knitter, Oliver, et al.
Publicado: (2026)
Quantum-Based Feature Selection for Multi-classification Problem in Complex Systems with Edge Computing
por: Liu, Wenjie, et al.
Publicado: (2023)
por: Liu, Wenjie, et al.
Publicado: (2023)
A Unitary Weights Based One-Iteration Quantum Perceptron Algorithm for Non-Ideal Training Sets
por: Liu, Wenjie, et al.
Publicado: (2023)
por: Liu, Wenjie, et al.
Publicado: (2023)
Learning to Measure Quantum Neural Networks
por: Chen, Samuel Yen-Chi, et al.
Publicado: (2025)
por: Chen, Samuel Yen-Chi, et al.
Publicado: (2025)
Long Range Frequency Tuning for QML
por: Poppel, Michael, et al.
Publicado: (2026)
por: Poppel, Michael, et al.
Publicado: (2026)
Optimal normalization in quantum-classical hybrid models for anti-cancer drug response prediction
por: Ito, Takafumi, et al.
Publicado: (2025)
por: Ito, Takafumi, et al.
Publicado: (2025)
Fairness-Utilization Trade-off in Wireless Networks with Explainable Kolmogorov-Arnold Networks
por: Shokrnezhad, Masoud, et al.
Publicado: (2024)
por: Shokrnezhad, Masoud, et al.
Publicado: (2024)
Adversarial Robustness of Partitioned Quantum Classifiers
por: Kananian, Pouya, et al.
Publicado: (2025)
por: Kananian, Pouya, et al.
Publicado: (2025)
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation
por: Wang, Hanrui, et al.
Publicado: (2022)
por: Wang, Hanrui, et al.
Publicado: (2022)
EQISA: Energy-efficient Quantum Instruction Set Architecture using Sparse Dictionary Learning
por: Mishra, Sibasish, et al.
Publicado: (2026)
por: Mishra, Sibasish, et al.
Publicado: (2026)
Quantum-Assisted Machine Learning Models for Enhanced Weather Prediction
por: Sakhuja, Saiyam, et al.
Publicado: (2025)
por: Sakhuja, Saiyam, et al.
Publicado: (2025)
PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud
por: Wang, Zhepeng, et al.
Publicado: (2024)
por: Wang, Zhepeng, et al.
Publicado: (2024)
Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search
por: Lipardi, Vincenzo, et al.
Publicado: (2025)
por: Lipardi, Vincenzo, et al.
Publicado: (2025)
Breaking QAOA's Fixed Target Hamiltonian Barrier: A Fully Connected Quantum Boltzmann Machine via Bilevel Optimization
por: Liu, Jun
Publicado: (2026)
por: Liu, Jun
Publicado: (2026)
An Introduction to Quantum Reinforcement Learning (QRL)
por: Chen, Samuel Yen-Chi
Publicado: (2024)
por: Chen, Samuel Yen-Chi
Publicado: (2024)
Learning to Program Quantum Measurements for Machine Learning
por: Chen, Samuel Yen-Chi, et al.
Publicado: (2025)
por: Chen, Samuel Yen-Chi, et al.
Publicado: (2025)
Exploring Quantum Neural Networks for Demand Forecasting
por: de Jesus, Gleydson Fernandes, et al.
Publicado: (2024)
por: de Jesus, Gleydson Fernandes, et al.
Publicado: (2024)
Multi-Class Quantum Convolutional Neural Networks
por: Mordacci, Marco, et al.
Publicado: (2024)
por: Mordacci, Marco, et al.
Publicado: (2024)
Learning to Program Variational Quantum Circuits with Fast Weights
por: Chen, Samuel Yen-Chi
Publicado: (2024)
por: Chen, Samuel Yen-Chi
Publicado: (2024)
Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity
por: Chen, Samuel Yen-Chi
Publicado: (2024)
por: Chen, Samuel Yen-Chi
Publicado: (2024)
Implementing Large Quantum Boltzmann Machines as Generative AI Models for Dataset Balancing
por: Sinno, Salvatore, et al.
Publicado: (2025)
por: Sinno, Salvatore, et al.
Publicado: (2025)
FedQNN: Federated Learning using Quantum Neural Networks
por: Innan, Nouhaila, et al.
Publicado: (2024)
por: Innan, Nouhaila, et al.
Publicado: (2024)
Unleashing the Expressive Power of Pulse-Based Quantum Neural Networks
por: Tao, Han-Xiao, et al.
Publicado: (2024)
por: Tao, Han-Xiao, et al.
Publicado: (2024)
Impact of Single Rotations and Entanglement Topologies in Quantum Neural Networks
por: Mordacci, Marco, et al.
Publicado: (2025)
por: Mordacci, Marco, et al.
Publicado: (2025)
Enhancing Expressivity of Quantum Neural Networks Based on the SWAP test
por: Nagies, Sebastian, et al.
Publicado: (2025)
por: Nagies, Sebastian, et al.
Publicado: (2025)
Ejemplares similares
-
KetGPT - Dataset Augmentation of Quantum Circuits using Transformers
por: Apak, Boran, et al.
Publicado: (2024) -
Replay-buffer engineering for noise-robust quantum circuit optimization
por: Kundu, Akash, et al.
Publicado: (2026) -
TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search
por: Kundu, Akash, et al.
Publicado: (2025) -
Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation
por: Chen, Samuel Yen-Chi, et al.
Publicado: (2025) -
Introduction to Quantum Machine Learning and Quantum Architecture Search
por: Chen, Samuel Yen-Chi, et al.
Publicado: (2025)