Image de couverture de livre

Rethinking How to Act: Action-Space Engineering for Reinforcement Learning-Based Circuit Routing in Distributed Quantum Systems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Van Veen, Joost, Prielinger, Luise, Feld, Sebastian
Format:	Preprint
Publié:	2026
Sujets:	Quantum Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Revisiting the Mapping of Quantum Circuits: Entering the Multi-Core Era
par: Escofet, Pau, et autres
Publié: (2024)

Surrogate-guided optimization in quantum networks
par: Prielinger, Luise, et autres
Publié: (2024)

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

Logical-to-Physical Compilation for Reducing Depth in Distributed Quantum Systems
par: de Ronde, Folkert, et autres
Publié: (2026)

Automated Circuit Depth Reduction of Quantum Subroutines via Compilation
par: de Ronde, Folkert, et autres
Publié: (2026)

Parallelizing Program Execution on Distributed Quantum Systems via Compiler/Hardware Co-Design
par: de Ronde, Folkert, et autres
Publié: (2025)

Piecemaker: a resource-efficient entanglement distribution protocol
par: Prielinger, Luise, et autres
Publié: (2025)

KetGPT - Dataset Augmentation of Quantum Circuits using Transformers
par: Apak, Boran, et autres
Publié: (2024)

Lightcone Bounds for Quantum Circuit Mapping via Uncomplexity
par: Steinberg, Matthew, et autres
Publié: (2024)

Stacking the Odds: Full-Stack Quantum System Design Space Exploration
par: Safi, Hila, et autres
Publié: (2025)

AlphaRouter: Quantum Circuit Routing with Reinforcement Learning and Tree Search
par: Tang, Wei, et autres
Publié: (2024)

EQISA: Energy-efficient Quantum Instruction Set Architecture using Sparse Dictionary Learning
par: Mishra, Sibasish, et autres
Publié: (2026)

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

Evolutionary-Based Circuit Optimization for Distributed Quantum Computing
par: Sünkel, Leo, et autres
Publié: (2025)

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

Reducing QAOA Circuit Depth by Factoring out Semi-Symmetries
par: Nüßlein, Jonas, et autres
Publié: (2024)

IF-QAOA: A Penalty-Free Approach to Accelerating Constrained Quantum Optimization
par: Bucher, David, et autres
Publié: (2025)

From Characterization To Construction: Generative Quantum Circuit Synthesis from Gate Set Tomography Data
par: Yu, King Yiu, et autres
Publié: (2026)

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

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

How Quantum Circuits Actually Learn: A Causal Identification of Genuine Quantum Contributions
par: Kesiku, Cyrille Yetuyetu, et autres
Publié: (2026)

ArtA: Automating Design Space Exploration of Spin Qubit Architectures
par: Paraskevopoulos, Nikiforos, et autres
Publié: (2024)

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

Route-Forcing: Scalable Quantum Circuit Mapping for Scalable Quantum Computing Architectures
par: Escofet, Pau, et autres
Publié: (2024)

EO-GRAPE and EO-DRLPE: Open and Closed Loop Approaches for Energy Efficient Quantum Optimal Control
par: Fauquenot, Sebastiaan, et autres
Publié: (2024)

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

Hybrid Action Reinforcement Learning for Quantum Architecture Search
par: Niu, Jiayang, et autres
Publié: (2025)

Testing and Debugging Quantum Circuits
par: Metwalli, Sara Ayman, et autres
Publié: (2023)

Circuit Partitioning and Transmission Cost Optimization in Distributed Quantum Circuits
par: Chen, Xinyu, et autres
Publié: (2024)

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)

Device-Independent Quantum Key Distribution Based on Routed Bell Tests
par: Roy-Deloison, Tristan Le, et autres
Publié: (2024)

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

A Tool For Debugging Quantum Circuits
par: Metwalli, Sara Ayman, et autres
Publié: (2022)

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

Reqomp: Space-constrained Uncomputation for Quantum Circuits
par: Paradis, Anouk, et autres
Publié: (2022)

Transformer Models for Quantum Gate Set Tomography
par: Yu, King Yiu, et autres
Publié: (2024)

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

Optimizing Quantum Photonic Integrated Circuits using Differentiable Tensor Networks
par: Van Regemortel, Mathias, et autres
Publié: (2025)

Quantum Optimization-Based Route Compression for Efficient Navigation Systems
par: Sotobayashi, Shunsuke, et autres
Publié: (2025)