Image de couverture de livre

Reinforcement Learning for Quantum Circuit Design: Using Matrix Representations

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Zhiyuan, Feng, Chunlin, Poon, Christopher, Huang, Lijian, Zhao, Xingjian, Ma, Yao, Fu, Tianfan, Liu, Xiao-Yang
Format:	Preprint
Publié:	2025
Sujets:	Quantum Physics Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

QCS-ADME: Quantum Circuit Search for Drug Property Prediction with Imbalanced Data and Regression Adaptation
par: Zheng, Kangyu, et autres
Publié: (2025)

Quantum Circuit Representation of Combinatorial Matrix Functions
par: Kang, Minhyeok, et autres
Publié: (2026)

Reinforcement Learning for Variational Quantum Circuits Design
par: Foderà, Simone, et autres
Publié: (2024)

Challenges for Reinforcement Learning in Quantum Circuit Design
par: Altmann, Philipp, et autres
Publié: (2023)

Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments
par: Kruse, Georg, et autres
Publié: (2023)

Quantum Hierarchical Reinforcement Learning via Variational Quantum Circuits
par: Lee, Yu-Ting, et autres
Publié: (2026)

Dictionary-based Block Encoding of Sparse Matrices with Low Subnormalization and Circuit Depth
par: Yang, Chunlin, et autres
Publié: (2024)

Quantum Data Representation via Circuit Partitioning and Reintegration
par: Guo, Ziqing, et autres
Publié: (2025)

Investigation of Automated Design of Quantum Circuits for Imaginary Time Evolution Methods Using Deep Reinforcement Learning
par: Suzuki, Ryo, et autres
Publié: (2026)

How to Design a Classically Difficult Random Quantum Circuit for Quantum Computational Advantage Experiments
par: Huang, He-Liang, et autres
Publié: (2025)

Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning
par: Kölle, Michael, et autres
Publié: (2024)

A Parallel Hybrid Quantum‐Classical Convolutional Design Using Parameterized Quantum Circuits for Image Classification
par: Haoxuan Liu, et autres
Publié: (2026)

Universal Matrix Multiplication on Quantum Computer
par: Yao, Jiaqi, et autres
Publié: (2024)

Advantage Distillation for Quantum Key Distribution
par: Du, Zhenyu, et autres
Publié: (2024)

Quantum Simulations Based on Parameterized Circuit of an Antisymmetric Matrix
par: Daskin, Ammar
Publié: (2025)

Unitary Synthesis of Clifford+T Circuits with Reinforcement Learning
par: Rietsch, Sebastian, et autres
Publié: (2024)

Automated Discovery of Gadgets in Quantum Circuits for Efficient Reinforcement Learning
par: Yevtushenko, Oleg M., et autres
Publié: (2025)

Binary Tree Block Encoding of Classical Matrix
par: Li, Zexian, et autres
Publié: (2025)

Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis
par: Yeung, Richie, et autres
Publié: (2026)

Quantum Circuits for Matrix-Product Unitaries
par: Styliaris, Georgios, et autres
Publié: (2025)

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design
par: Wang, Dannong, et autres
Publié: (2024)

Tangent Space Excitation Ansatz for Quantum Circuits
par: Chen, Ji-Yao, et autres
Publié: (2025)

Quantum Circuit Implementation of Two Matrix Product Operations and Elementary Column Transformations
par: Liu, Yu-Hang, et autres
Publié: (2025)

Quantum Circuit AutoEncoder
par: Wu, Jun, et autres
Publié: (2023)

Gate Sequence Optimization for Parameterized Quantum Circuits using Reinforcement Learning
par: Rieckmann, Tom R., et autres
Publié: (2025)

Scaling the Automated Discovery of Quantum Circuits via Reinforcement Learning with Gadgets
par: Olle, Jan, et autres
Publié: (2025)

Reinforcement Learning Based Quantum Circuit Optimization via ZX-Calculus
par: Riu, Jordi, et autres
Publié: (2023)

Benchmarking Quantum Circuit Transformation with QKNOB Circuits
par: Li, Sanjiang, et autres
Publié: (2023)

Quantum Circuit Design for Decoded Quantum Interferometry
par: Patamawisut, Natchapol, et autres
Publié: (2025)

Mixed-Signal Quantum Circuit Design for Option Pricing Using Design Compiler
par: Kao, Yu-Ting, et autres
Publié: (2025)

Beyond Reinforcement Learning: Fast and Scalable Quantum Circuit Synthesis
par: Theißinger, Lukas, et autres
Publié: (2026)

A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis
par: Kölle, Michael, et autres
Publié: (2024)

Reinforcement Learning for Adaptive Composition of Quantum Circuit Optimisation Passes
par: Mills, Daniel, et autres
Publié: (2026)

SurgeQ: A Hybrid Framework for Ultra-Fast Quantum Processor Design and Crosstalk-Aware Circuit Execution
par: Chen, Xinxuan, et autres
Publié: (2026)

Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks
par: Mattick, Alexander, et autres
Publié: (2025)

Learning the Expressibility of Quantum Circuit Ansatz Using Transformer
par: Fei Zhang, et autres
Publié: (2025)

Probabilistic Representation of Commutative Quantum Circuit Models
par: Yu, Richard, et autres
Publié: (2024)

Quantum Circuit Discovery for Fault-Tolerant Logical State Preparation with Reinforcement Learning
par: Zen, Remmy, et autres
Publié: (2024)

Quantum Circuit Learning Using Non-Integrable System Dynamics
par: Sato, Ryutaro, et autres
Publié: (2025)

A Strategy for Preparing Quantum Squeezed States Using Reinforcement Learning
par: Zhao, X. L., et autres
Publié: (2024)