Jianmu-Q: Bridging Quantum Field Theory and Quantum Hardware with AI Agents
Abstract
Quantum computing offers a promising approach to non-perturbative simulations of quantum field theories, particularly for real-time dynamics and systems affected by the sign problem. Yet translating continuum field theories into quantum computations remains a challenging interdisciplinary task. Here we introduce \texttt{Jianmu-Q}, a multi-agent framework that transforms natural-language descriptions of quantum field theories into quantum simulation workflows. Specialized agents handle theoretical formulation, lattice discretization, qubit mapping, and circuit design, while physical consistency checks and independent numerical calculations provide validation throughout the workflow. We benchmark the framework on three field theories of increasing complexity: the (1+1)-dimensional Nambu--Jona-Lasinio and Schwinger models, and a (2+1)-dimensional ℤ2 gauge theory. Across these systems, noiseless quantum-circuit simulations converge toward independent exact-diagonalization and tensor-network results, while selected circuits are executed on IBM quantum hardware, demonstrating an end-to-end, validation-guided approach to quantum simulation of field theories.
Related
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- Hardware-Efficient Error Mitigation and Shot-Efficient Sampling on IBM Quantum Hardware
- Two-Dimensional Materials toward CMOS-Compatible Scalable Quantum Hardware
- Bridging Control, Inference, Transport, and Thermodynamics: From Theory to Applications in Learning
- Scalable Simulation of Quantum Dynamics on Topological Quantum Hardware
BibTeX
@misc{wang2026jianmuq,
title = {{Jianmu-Q: Bridging Quantum Field Theory and Quantum Hardware with AI Agents}},
author = {Xiaolin Wang and Xingyu Guo and Jinyang Li and Tianyin Li and Enke Wang and Lingxiao Wang and Hongxi Xing},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.21942},
eprint = {2610.21942},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.21942},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - UNPB
TI - Jianmu-Q: Bridging Quantum Field Theory and Quantum Hardware with AI Agents
AU - Xiaolin Wang
AU - Xingyu Guo
AU - Jinyang Li
AU - Tianyin Li
AU - Enke Wang
AU - Lingxiao Wang
AU - Hongxi Xing
PY - 2026
DA - 2026/10/15
PB - arXiv
DO - 10.48550/arxiv.2610.21942
UR - https://arxiv.org/abs/2610.21942
AB - Quantum computing offers a promising approach to non-perturbative simulations of quantum field theories, particularly for real-time dynamics and systems affected by the sign problem. Yet translating continuum field theories into quantum computations remains a challenging interdisciplinary task. Here we introduce \texttt{Jianmu-Q}, a multi-agent framework that transforms natural-language descriptions of quantum field theories into quantum simulation workflows. Specialized agents handle theoretical formulation, lattice discretization, qubit mapping, and circuit design, while physical consistency checks and independent numerical calculations provide validation throughout the workflow. We benchmark the framework on three field theories of increasing complexity: the (1+1)-dimensional Nambu--Jona-Lasinio and Schwinger models, and a (2+1)-dimensional ℤ_2 gauge theory. Across these systems, noiseless quantum-circuit simulations converge toward independent exact-diagonalization and tensor-network results, while selected circuits are executed on IBM quantum hardware, demonstrating an end-to-end, validation-guided approach to quantum simulation of field theories.
ER -