Low variance estimations of many observables with tensor networks and informationally-complete measurements

Accurately estimating the properties of quantum systems is a central challenge in quantum computing and quantum information. We propose a method to obtain unbiased estimators of multiple observables with low statistical error by post-processing informationally complete measurements using tensor netw...

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Bibliographic Details
Main Authors: Stefano Mangini, Daniel Cavalcanti
Format: Article
Language:English
Published: Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften 2025-07-01
Series:Quantum
Online Access:https://quantum-journal.org/papers/q-2025-07-23-1812/pdf/
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