El Agente Cuantico: Automating quantum simulations
Ignacio Gustin, Luis Mantilla Calder\'on, Juan B. P\'erez-S\'anchez, J\'er\^ome F. Gonthier, Yuma Nakamura, Karthik Panicker, Manav Ramprasad, Zijian Zhang, Yunheng Zou, Varinia Bernales, Al\'an Aspuru-Guzik

TL;DR
The paper introduces El Agente Cuántico, an AI system that automates quantum simulations by translating natural language into complex quantum computations, unifying various paradigms and reducing technical barriers.
Contribution
It presents a novel multi-agent AI system that automates and unifies quantum simulation workflows across multiple frameworks using natural language understanding.
Findings
Automates quantum simulation workflows from natural language.
Unifies multiple quantum simulation paradigms.
Enables faster exploration and hypothesis testing.
Abstract
Quantum simulation is central to understanding and designing quantum systems across physics and chemistry. Yet it has barriers to access from both computational complexity and computational perspectives, due to the exponential growth of Hilbert space and the complexity of modern software tools. Here we introduce{\cinzel El Agente Cu\'antico}, a multi-agent AI system that automates quantum-simulation workflows by translating natural-language scientific intent into executed and validated computations across heterogeneous quantum-software frameworks. By reasoning directly over library documentation and APIs, our agentic system dynamically assembles end-to-end simulations spanning state preparation, closed- and open-system dynamics, tensor-network methods, quantum control, quantum error correction, and quantum resource estimation. The developed system unifies traditionally distinct…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Scientific Computing and Data Management · Quantum many-body systems
