Copertina

From Classical to Quantum Reinforcement Learning and Its Applications in Quantum Control: A Beginner's Tutorial

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sen, Abhijit, Panda, Sonali, Arya, Mahima, Patra, Subhajit, Zheng, Zizhan, Bondar, Denys I.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Artificial Intelligence Quantum Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficent-KAN and WAV-KAN
di: Patra, Subhajit, et al.
Pubblicazione: (2024)

Geometric Kolmogorov--Arnold Network (GeoKAN)
di: Sen, Abhijit, et al.
Pubblicazione: (2026)

Feature Engineering is Not Dead: Reviving Classical Machine Learning with Entropy, HOG, and LBP Feature Fusion for Image Classification
di: Sen, Abhijit, et al.
Pubblicazione: (2025)

Tutorial on Superconducting Quantum Circuits: From Basics to Applications
di: Brito, Denys Derlian Carvalho, et al.
Pubblicazione: (2025)

Input-Output Optics as a Causal Time Series Mapping: A Generative Machine Learning Solution
di: Sen, Abhijit, et al.
Pubblicazione: (2024)

Universal Relation Between Quantum Entanglement and Particle Transport
di: Bilokon, Elvira, et al.
Pubblicazione: (2025)

The Birth of Quantum Mechanics and the Dirac Equation
di: Simulik, Volodimir, et al.
Pubblicazione: (2026)

Entanglement and Its Verification: A Tutorial on Classical and Quantum Correlations
di: Giese, Enno
Pubblicazione: (2025)

Introduction to Haar Measure Tools in Quantum Information: A Beginner's Tutorial
di: Mele, Antonio Anna
Pubblicazione: (2023)

From Classical Data to Quantum Advantage -- Quantum Policy Evaluation on Quantum Hardware
di: Hein, Daniel, et al.
Pubblicazione: (2025)

Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
di: Hasan, Mohammad Junayed, et al.
Pubblicazione: (2023)

A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies
di: Giannelli, Luigi, et al.
Pubblicazione: (2021)

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers
di: Du, Yuxuan, et al.
Pubblicazione: (2025)

Hybrid Reward-Driven Reinforcement Learning for Efficient Quantum Circuit Synthesis
di: Giordano, Sara, et al.
Pubblicazione: (2025)

Symplectic Split-Operator Propagators from Tridiagonalized Multi-Mode Bosonic Hilbert Spaces for Bose-Hubbard Hamiltonians
di: Bondar, Denys I., et al.
Pubblicazione: (2026)

Quantum Dynamical Emulation of Imaginary Time Evolution
di: Leamer, Jacob M., et al.
Pubblicazione: (2024)

Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning
di: Ordóñez, Sebastián Andrés Cajas, et al.
Pubblicazione: (2025)

Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models
di: Wu, Tongyan, et al.
Pubblicazione: (2025)

Physics-informed time series analysis with Kolmogorov-Arnold Networks under Ehrenfest constraints
di: Sen, Abhijit, et al.
Pubblicazione: (2025)

QPMeL - Quantum-Aware Classically-Trained Embeddings via Projective Metric Learning
di: Sharma, Vinayak, et al.
Pubblicazione: (2023)

Reinforcement Learning for Quantum Technology
di: Bukov, Marin, et al.
Pubblicazione: (2026)

Deep Learning in Classical and Quantum Physics
di: Heightman, Timothy, et al.
Pubblicazione: (2025)

A Tutorial on the Use of Physics-Informed Neural Networks to Compute the Spectrum of Quantum Systems
di: Brevi, Lorenzo, et al.
Pubblicazione: (2024)

A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity
di: L'Abbate, Ryan, et al.
Pubblicazione: (2024)

Hamiltonian Formalism for Comparing Quantum and Classical Intelligence
di: Perrier, Elija
Pubblicazione: (2025)

Hybrid Quantum-Classical Multi-Agent Pathfinding
di: Gerlach, Thore, et al.
Pubblicazione: (2025)

Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulations
di: Chen, Kuan-Cheng, et al.
Pubblicazione: (2024)

The Particle in a Box in Koopman--von Neumann Mechanics: A Hilbert Space representation of Classical Mechanics
di: Sen, Abhijit, et al.
Pubblicazione: (2025)

Dispersion Relations in Two- and Three-Dimensional Quantum Systems
di: Bilokon, Valeriia, et al.
Pubblicazione: (2025)

It's-A-Me, Quantum Mario: Scalable Quantum Reinforcement Learning with Multi-Chip Ensembles
di: Park, Junghoon Justin, et al.
Pubblicazione: (2025)

Uncomputability and complexity of quantum control
di: Bondar, Denys I., et al.
Pubblicazione: (2019)

One-Shot Min-Entropy Calculation Of Classical-Quantum States And Its Application To Quantum Cryptography
di: Wang, Rong, et al.
Pubblicazione: (2024)

Neural Network Emulation of the Classical Limit in Quantum Systems via Learned Observable Mappings
di: Majid, Kamran
Pubblicazione: (2025)

Quantum-Enhanced Generative Adversarial Networks: Comparative Analysis of Classical and Hybrid Quantum-Classical Generative Adversarial Networks
di: Goh, Kun Ming
Pubblicazione: (2025)

Quantum Convolutional Neural Network: A Hybrid Quantum-Classical Approach for Iris Dataset Classification
di: Tomal, S. M. Yousuf Iqbal, et al.
Pubblicazione: (2024)

Flood Prediction Using Classical and Quantum Machine Learning Models
di: Grzesiak, Marek, et al.
Pubblicazione: (2024)

All You Need is Amplifier: Spectral Imposters Without Pulse Shaping
di: Bilokon, Valeriia, et al.
Pubblicazione: (2026)

Benchmarking Quantum and Classical Sequential Models for Urban Telecommunication Forecasting
di: Chen, Chi-Sheng, et al.
Pubblicazione: (2025)

A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis
di: Kölle, Michael, et al.
Pubblicazione: (2024)

Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning
di: Chen, Kuan-Cheng, et al.
Pubblicazione: (2024)