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Foundations for estimating Pauli noise in quantum error correction - Martin Kliesch | TQC 2023
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Martin Kliesch
Foundations for estimating Pauli noise in quantum error correction
The characterization of quantum devices is crucial for their practical implementation but can be costly in experimental effort and classical post-processing. Therefore, it is desirable to measure only information that is relevant for specific applications and develop protocols that require little additional effort.
In this work, we focus on the characterization of quantum computers in the context of stabilizer quantum error correction. We prove that (i) physical and (ii) logical error channels induced by Pauli noise can be estimated from syndrome data under minimal conditions. Essentially, any Pauli channel a code can correct can also be estimated from its syndrome measurements. We also provide a concrete estimation algorithm for this task.
July 24, 2023
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TQC 2023 | 24-28 July 2023, University of Aveiro, Portugal
18th Conference on the Theory of Quantum Computation, Communication and Cryptography.
TQC is a leading annual international conference for students and researchers working in the theoretical aspects of quantum information science. The scientific objective is to bring together the theoretical quantum information science community to present and discuss the latest advances in the field.
Organisation:
Squids - Schools for Quantum Information Development
Universidade de Aveiro: Departamento de Matemática, CIDMA & Fábrica
Sponsors:
Phasecraft, UK
Google Quantum AI, USA
QuSoft, The Netherlands
Quantum for Life Centre, Denmark
Technology Innovation Institute, UAE
ML4Q, Germany
Dulwich Quantum
Foundations for estimating Pauli noise in quantum error correction
The characterization of quantum devices is crucial for their practical implementation but can be costly in experimental effort and classical post-processing. Therefore, it is desirable to measure only information that is relevant for specific applications and develop protocols that require little additional effort.
In this work, we focus on the characterization of quantum computers in the context of stabilizer quantum error correction. We prove that (i) physical and (ii) logical error channels induced by Pauli noise can be estimated from syndrome data under minimal conditions. Essentially, any Pauli channel a code can correct can also be estimated from its syndrome measurements. We also provide a concrete estimation algorithm for this task.
July 24, 2023
---------
TQC 2023 | 24-28 July 2023, University of Aveiro, Portugal
18th Conference on the Theory of Quantum Computation, Communication and Cryptography.
TQC is a leading annual international conference for students and researchers working in the theoretical aspects of quantum information science. The scientific objective is to bring together the theoretical quantum information science community to present and discuss the latest advances in the field.
Organisation:
Squids - Schools for Quantum Information Development
Universidade de Aveiro: Departamento de Matemática, CIDMA & Fábrica
Sponsors:
Phasecraft, UK
Google Quantum AI, USA
QuSoft, The Netherlands
Quantum for Life Centre, Denmark
Technology Innovation Institute, UAE
ML4Q, Germany
Dulwich Quantum