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Transfer Learning Analysis of Variational Quantum Circuits

Quantum Physics 2025-07-16 v3 Artificial Intelligence Machine Learning

Abstract

This work analyzes transfer learning of the Variational Quantum Circuit (VQC). Our framework begins with a pretrained VQC configured in one domain and calculates the transition of 1-parameter unitary subgroups required for a new domain. A formalism is established to investigate the adaptability and capability of a VQC under the analysis of loss bounds. Our theory observes knowledge transfer in VQCs and provides a heuristic interpretation for the mechanism. An analytical fine-tuning method is derived to attain the optimal transition for adaptations of similar domains.

Keywords

Cite

@article{arxiv.2501.01507,
  title  = {Transfer Learning Analysis of Variational Quantum Circuits},
  author = {Huan-Hsin Tseng and Hsin-Yi Lin and Samuel Yen-Chi Chen and Shinjae Yoo},
  journal= {arXiv preprint arXiv:2501.01507},
  year   = {2025}
}

Comments

Published at ICASSP 2025

R2 v1 2026-06-28T20:54:59.662Z