Neural Operator Quantum State: A Foundation Model for Quantum Dynamics
arXiv QuantumArchived Mar 27, 2026✓ Full text saved
arXiv:2603.25066v1 Announce Type: new Abstract: Capturing the dynamics of quantum many-body systems under time-dependent driving protocols is a central challenge for numerical simulations. Existing methods such as tensor networks and time-dependent neural quantum states, however, must be re-run for every protocol. In this work, we introduce the Neural Operator Quantum State (NOQS) as a foundation model for quantum dynamics. Rather than solving the Schr\"odinger equation for individual trajectori
Full text archived locally
✦ AI Summary· Claude Sonnet
Quantum Physics
[Submitted on 26 Mar 2026]
Neural Operator Quantum State: A Foundation Model for Quantum Dynamics
Zihao Qi, Christopher Earls, Yang Peng
Capturing the dynamics of quantum many-body systems under time-dependent driving protocols is a central challenge for numerical simulations. Existing methods such as tensor networks and time-dependent neural quantum states, however, must be re-run for every protocol. In this work, we introduce the Neural Operator Quantum State (NOQS) as a foundation model for quantum dynamics. Rather than solving the Schrödinger equation for individual trajectories, our approach aims to \emph{learn the solution operator} that maps entire driving protocols to time-evolved quantum states. Once trained, the NOQS predicts time evolution under unseen protocols in a single forward pass, requiring no additional optimization. We validate NOQS on the two-dimensional Ising model with time-dependent longitudinal and transverse fields, demonstrating accurate prediction not only for unseen in-distribution protocols, but also for qualitatively different, out-of-distribution functional forms of driving. Further, a single NOQS model can be transferred between different temporal resolutions, and can be efficiently fine-tuned with sparse experimental measurements to improve predictions across all observables at negligible cost. Our work introduces a new paradigm for quantum dynamics simulation and provides a practical computational-experimental interface for driven quantum systems.
Comments: 14 pages, 6 figures
Subjects: Quantum Physics (quant-ph); Quantum Gases (cond-mat.quant-gas); Statistical Mechanics (cond-mat.stat-mech); Strongly Correlated Electrons (cond-mat.str-el)
Cite as: arXiv:2603.25066 [quant-ph]
(or arXiv:2603.25066v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2603.25066
Focus to learn more
Submission history
From: Zihao Qi [view email]
[v1] Thu, 26 Mar 2026 06:10:14 UTC (522 KB)
Access Paper:
HTML (experimental)
view license
Current browse context:
quant-ph
< prev | next >
new | recent | 2026-03
Change to browse by:
cond-mat
cond-mat.quant-gas
cond-mat.stat-mech
cond-mat.str-el
References & Citations
INSPIRE HEP
NASA ADS
Google Scholar
Semantic Scholar
Export BibTeX Citation
Bookmark
Bibliographic Tools
Bibliographic and Citation Tools
Bibliographic Explorer Toggle
Bibliographic Explorer (What is the Explorer?)
Connected Papers Toggle
Connected Papers (What is Connected Papers?)
Litmaps Toggle
Litmaps (What is Litmaps?)
scite.ai Toggle
scite Smart Citations (What are Smart Citations?)
Code, Data, Media
Demos
Related Papers
About arXivLabs
Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)