Copertina

Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Campbell, Charlie, Chen, Hao Mark, Luk, Wayne, Fan, Hongxiang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Quantum Physics Multiagent Systems
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization
di: Kölle, Michael, et al.
Pubblicazione: (2023)

Quantum Advantage in Multi Agent Reinforcement Learning
di: Dahia, Simranjeet Singh, et al.
Pubblicazione: (2026)

Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization
di: Kölle, Michael, et al.
Pubblicazione: (2024)

Navigating Quantum Missteps in Agent-Based Modeling: A Schelling Model Case Study
di: Barati, C. Nico, et al.
Pubblicazione: (2025)

eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels
di: DeRieux, Alexander, et al.
Pubblicazione: (2024)

Emergent Cooperation in Quantum Multi-Agent Reinforcement Learning Using Communication
di: Kölle, Michael, et al.
Pubblicazione: (2026)

AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation
di: Wang, Siyu, et al.
Pubblicazione: (2026)

Aegis: Automated Error Generation and Attribution for Multi-Agent Systems
di: Kong, Fanqi, et al.
Pubblicazione: (2025)

CoTDeceptor:Adversarial Code Obfuscation Against CoT-Enhanced LLM Code Agents
di: Li, Haoyang, et al.
Pubblicazione: (2025)

Micro-mobility dispatch optimization via quantum annealing incorporating historical data
di: Goto, Takeru, et al.
Pubblicazione: (2026)

Toward Evaluation Frameworks for Multi-Agent Scientific AI Systems
di: Abram, Marcin
Pubblicazione: (2026)

Quantum Annealing-Based Algorithm for Efficient Coalition Formation Among LEO Satellites
di: Venkatesh, Supreeth Mysore, et al.
Pubblicazione: (2024)

CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education
di: Zhao, Jianing, et al.
Pubblicazione: (2025)

AgenticPrecoding: LLM-Empowered Multi-Agent System for Precoding Optimization
di: Yang, Zijiu, et al.
Pubblicazione: (2026)

Evolution of Lane-Changing Behavior in Mixed Traffic: A Quantum Game Theory Approach
di: Chung, Sungyong, et al.
Pubblicazione: (2026)

Generalized Per-Agent Advantage Estimation for Multi-Agent Policy Optimization
di: Kim, Seongmin, et al.
Pubblicazione: (2026)

LLM-ALSO: LLM-Driven Adaptive Learning-Signal Optimization for Multi-Agent Reinforcement Learning
di: Wu, Xiaoguang, et al.
Pubblicazione: (2026)

xChemAgents: Agentic AI for Explainable Quantum Chemistry
di: Polat, Can, et al.
Pubblicazione: (2025)

MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs
di: Wang, Qian, et al.
Pubblicazione: (2024)

Self-Refining Topology Optimization via an LLM-Based Multi-Agent Framework
di: Park, Hyunjee, et al.
Pubblicazione: (2026)

Analyzing Code Injection Attacks on LLM-based Multi-Agent Systems in Software Development
di: Bowers, Brian, et al.
Pubblicazione: (2025)

Hierarchical Multi-Agent Reinforcement Learning-based Coordinated Spatial Reuse for Next Generation WLANs
di: Yu, Jiaming, et al.
Pubblicazione: (2025)

Relational Weight Optimization for Enhancing Team Performance in Multi-Agent Multi-Armed Bandits
di: Kotturu, Monish Reddy, et al.
Pubblicazione: (2024)

Speaking the Language of Teamwork: LLM-Guided Credit Assignment in Multi-Agent Reinforcement Learning
di: Lin, Muhan, et al.
Pubblicazione: (2025)

HiveMind: Contribution-Guided Online Prompt Optimization of LLM Multi-Agent Systems
di: Xia, Yihan, et al.
Pubblicazione: (2025)

Seeing the Whole Elephant: A Benchmark for Failure Attribution in LLM-based Multi-Agent Systems
di: Chen, Mengzhuo, et al.
Pubblicazione: (2026)

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration
di: Xie, Yizhe, et al.
Pubblicazione: (2026)

El Agente: An Autonomous Agent for Quantum Chemistry
di: Zou, Yunheng, et al.
Pubblicazione: (2025)

OPTAGENT: Optimizing Multi-Agent LLM Interactions Through Verbal Reinforcement Learning for Enhanced Reasoning
di: Bi, Zhenyu, et al.
Pubblicazione: (2025)

MACRO-LLM: LLM-Empowered Multi-Agent Collaborative Reasoning under Spatiotemporal Partial Observability
di: Chen, Handi, et al.
Pubblicazione: (2026)

LLM-based Multi-Agent System for Simulating Strategic and Goal-Oriented Data Marketplaces
di: Sashihara, Jun, et al.
Pubblicazione: (2025)

Harnessing Diverse Perspectives: A Multi-Agent Framework for Enhanced Error Detection in Knowledge Graphs
di: Li, Yu, et al.
Pubblicazione: (2025)

Swarm Intelligence Enhanced Reasoning: A Density-Driven Framework for LLM-Based Multi-Agent Optimization
di: Zhu, Ying, et al.
Pubblicazione: (2025)

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems
di: Hao, Zhezheng, et al.
Pubblicazione: (2026)

Social Contagion and Bank Runs: An Agent-Based Model with LLM Depositors
di: Ruano, Chris, et al.
Pubblicazione: (2026)

Revolutionizing Bridge Operation and Maintenance with LLM-based Agents: An Overview of Applications and Insights
di: Chen, Xinyu, et al.
Pubblicazione: (2024)

MALBO: Optimizing LLM-Based Multi-Agent Teams via Multi-Objective Bayesian Optimization
di: Sabbatella, Antonio
Pubblicazione: (2025)

YOLO-MARL: You Only LLM Once for Multi-Agent Reinforcement Learning
di: Zhuang, Yuan, et al.
Pubblicazione: (2024)

Optimizing Sequential Multi-Step Tasks with Parallel LLM Agents
di: Zhang, Enhao, et al.
Pubblicazione: (2025)

ALAS: Transactional and Dynamic Multi-Agent LLM Planning
di: Geng, Longling, et al.
Pubblicazione: (2025)