Quantum-State Texture and Gate Identification

We introduce and explore the notion of texture of an arbitrary quantum state, in a selected basis. In the first part of this Letter we develop a resource theory and show that state texture is adequately described by an easily computable monotone, which is also directly measurable. It is shown that textures are useful in the characterization of unknown quantum gates in universal circuit layers. By using randomized input states and recording the textures of the output qubits we are able to fully characterize the circuit layer, whenever it contains at least one CNOT gate. This can be done without the need of tomographic protocols and the use of ancillary systems.

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Publication Details

Journal
Physical Review Letters
Published
2024-12-24
DOI
https://doi.org/10.1103/physrevlett.133.260801
Citations
8
Primary Topic
Quantum Information and Cryptography
Type
article
Field-Weighted Citation Impact
2.78

Funders

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article

Quantum-State Texture and Gate Identification

Fernando Parisio
8 citations
Physical Review Letters
Quantum Information and Cryptography
2.78
article

Quantum-State Texture and Gate Identification

Fernando Parisio
article en
8 citations

Abstract

We introduce and explore the notion of texture of an arbitrary quantum state, in a selected basis. In the first part of this Letter we develop a resource theory and show that state texture is adequately described by an easily computable monotone, which is also directly measurable. It is shown that textures are useful in the characterization of unknown quantum gates in universal circuit layers. By using randomized input states and recording the textures of the output qubits we are able to fully characterize the circuit layer, whenever it contains at least one CNOT gate. This can be done without the need of tomographic protocols and the use of ancillary systems.

Physical Review LettersVol. 133(26)
Universidade Federal de Pernambuco (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco
Openalex Percentile: Top 8%
Quantum Information and Cryptography
2.78
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