SciPost Submission Page
Remote spin control in Haldane spin chains
by Yelko del Castillo, Alejandro Ferrón, Joaquín Fernández-Rossier
Submission summary
| Authors (as registered SciPost users): | Yelko del Castillo |
| Submission information | |
|---|---|
| Preprint Link: | scipost_202509_00036v1 (pdf) |
| Data repository: | https://doi.org/10.5281/zenodo.17061786 |
| Date submitted: | Sept. 19, 2025, 10:49 a.m. |
| Submitted by: | Yelko del Castillo |
| Submitted to: | SciPost Physics |
| Ontological classification | |
|---|---|
| Academic field: | Physics |
| Specialties: |
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| Approaches: | Theoretical, Computational |
The author(s) disclose that the following generative AI tools have been used in the preparation of this submission:
Generative AI tools (ChatGPT, OpenAI GPT-5, September 2025) were used to assist with grammar correction, language polishing, and minor style improvements. All scientific content, analysis, and conclusions are the authors’ own.
Abstract
We consider the remote manipulation of the quantum state of the edge fractional spins of Haldane spin chains using a weak local perturbation on the opposite edge. We derive an effective four-level model that correctly captures the response of the local magnetization to local perturbations and we use it to show that applying a small local field on one edge of the chain induces a strong variation of the magnetization on the opposite edge. Using a Landau-Zener protocol, we show how local control of the field on one edge of the chain, implemented for instance with a spin-polarized scanning tunnel microscope tip, can adiabatically switch the magnetization direction on the other side of the chain.
Author indications on fulfilling journal expectations
- Provide a novel and synergetic link between different research areas.
- Open a new pathway in an existing or a new research direction, with clear potential for multi-pronged follow-up work
- Detail a groundbreaking theoretical/experimental/computational discovery
- Present a breakthrough on a previously-identified and long-standing research stumbling block