Learning Topological States from Randomized Measurements Using Variational Tensor-Network Tomography

Learning faithful representations of quantum states is crucial to fully characterizing the variety of many-body states created on quantum processors. While various tomographic methods, such as classical shadow and matrix product state (MPS) tomography have shown promise in characterizing a wide clas...

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Bibliografski detalji

Glavni autori:	Yanting Teng, Rhine Samajdar, Katherine Van Kirk, Frederik Wilde, Subir Sachdev, Jens Eisert, Ryan Sweke, Khadijeh Najafi
Format:	Artigo
Jezik:	Inglês
Izdano:	American Physical Society 2025-10-01
Serija:	PRX Quantum
Online pristup:	http://doi.org/10.1103/qm7q-w9qj
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