El agente cuántico: automating quantum simulations

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Authors: Ignacio Gustín, L. Calderón, Juan B. Pérez-Sánchez, Chris Crebolder, Jérôme F. Gonthier, Mohammad Ghazi Vakili, Y. Nakamura, Karthik Panicker, Manav Ramprasad, Aiwei Yin, Zijian Zhang, Yunheng Zou
+2 more Varinia Bernales, Alán Aspuru‐Guzik
Cited by: 1
References: 98

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 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.

Fields of Study & Subjects

Quantum Computing Algorithms and Architecture Quantum many-body systems Scientific Computing and Data Management

Publication details

Journal / source
Reports on Progress in Physics
Publisher
IOP Publishing
Volume
89
Issue
7
Pages
077602–077602
Publication date
1 July 2026
Language
EN