Learning Topological States from Randomized Measurements Using Variational Tensor-Network Tomography
- DOI
- 10.1103/qm7q-w9qj
- Published
- 2025-10-03
- Container
- PRX Quantum
- Publisher
- American Physical Society (APS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1103/qm7q-w9qj,
title = {Learning Topological States from Randomized Measurements Using Variational Tensor-Network Tomography},
author = {Yanting Teng and Rhine Samajdar and Katherine Van Kirk and Frederik Wilde and Subir Sachdev and Jens Eisert and Ryan Sweke and Khadijeh Najafi},
year = {2025},
journal = {PRX Quantum},
doi = {10.1103/qm7q-w9qj},
url = {https://doi.org/10.1103/qm7q-w9qj}
}RIS
TY - JOUR TI - Learning Topological States from Randomized Measurements Using Variational Tensor-Network Tomography AU - Yanting Teng AU - Rhine Samajdar AU - Katherine Van Kirk AU - Frederik Wilde AU - Subir Sachdev AU - Jens Eisert AU - Ryan Sweke AU - Khadijeh Najafi PY - 2025 JO - PRX Quantum DO - 10.1103/qm7q-w9qj UR - https://doi.org/10.1103/qm7q-w9qj ER -
APA
Teng, Y., Samajdar, R., Kirk, K. V., Wilde, F., Sachdev, S., Eisert, J., Sweke, R., & Najafi, K. (2025). Learning Topological States from Randomized Measurements Using Variational Tensor-Network Tomography. PRX Quantum. https://doi.org/10.1103/qm7q-w9qj
Source records
- crossref · retrieved 2026-09-25T18:55:14.915Z