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