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El Agente Cuántico: Automating quantum simulations.

PubMed
Authors: Gustin I, Mantilla Calderon LC, Perez-Sanchez JB, Crebolder C, Gonthier JF, Vakili MG, Nakamura Y, Panicker K, Ramprasad M, Yin A, Zhang ZJ, Zou Y, Bernales V, Aspuru-Guzik A

Year

2026

Paper ID

72123

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

151

Citations

N/A

Abstract

Quantum simulation is central to understanding and designing quantum systems across physics and chemistry. However, its practical use is often limited by the exponential growth of Hilbert space and by the increasing complexity of modern quantum-simulation software. Here we introduce{\cinzel El Agente Cuántico}, 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---but not limited to---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 simulation paradigms behind a single natural-language interface. Beyond reducing technical barriers, this approach opens a path toward scalable, adaptive, and increasingly autonomous quantum simulation, enabling faster exploration of physical models, rapid hypothesis testing, and closer integration between theory, simulation, and emerging quantum hardware.

Why This Paper Matters

  • This paper contributes to the Quantum Networks research area in the Quantum Articles archive.
  • It adds a 2026 reference point for readers tracking recent quantum research.
  • Quantum simulation is central to understanding and designing quantum systems across physics and chemistry.

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