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Cited by 276

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Efficient Method for Computing the Maximum-Likelihood Quantum State from Measurements with Additive Gaussian Noise

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Smolin, John A., Gambetta, Jay M., Smith, Graeme·2012·Physical Review Letters

Abstract

We provide an efficient method for computing the maximum-likelihood mixed quantum state (with density matrix ρ) given a set of measurement outcomes in a complete orthonormal operator basis subject to Gaussian noise. Our method works by first changing basis yielding a candidate density matrix μ which may have nonphysical (negative) eigenvalues, and then finding the nearest physical state under the 2-norm. Our algorithm takes at worst O(d(4)) for the basis change plus O(d(3)) for finding ρ where d is the dimension of the quantum state. In the special case where the measurement basis is strings of Pauli operators, the basis change takes only O(d(3)) as well. The workhorse of the algorithm is a new linear-time method for finding the closest probability distribution (in Euclidean distance) to a set of real numbers summing to one.

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Metadata

Authors
Smolin, J. A., Gambetta, J. M., & Smith, G.
Venue
Physical Review Letters
Published
2012-02-17
Volume
108
Issue
7
Pages
070502-070502
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W1623348669
Cited by
276
References
19
FWCI
6.33
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Efficient Method for Computing the Maximum-Likelihood Quantum State from Measurements with Additive Gaussian Noise. https://app.cochat.ai/papers/10.1103/physrevlett.108.070502
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Smolin, J. A., Gambetta, J. M., & Smith, G. (2012). Efficient Method for Computing the Maximum-Likelihood Quantum State from Measurements with Additive Gaussian Noise. Physical Review Letters. https://doi.org/10.1103/physrevlett.108.070502

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