Demonstrating Scalable Randomized Benchmarking of Universal Gate Sets Article Swipe
Jordan Hines
,
Marie Lu
,
Ravi Naik
,
Akel Hashim
,
Jean-Loup Ville
,
Brad Mitchell
,
John Mark Kriekebaum
,
David I. Santiago
,
Stefan Seritan
,
Erik Nielsen
,
Robin Blume-Kohout
,
Kevin Young
,
Irfan Siddiqi
,
Birgitta Whaley
,
Timothy Proctor
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1103/physrevx.13.041030
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1103/physrevx.13.041030
Randomized benchmarking (RB) protocols are the most widely used methods for assessing the performance of quantum gates. However, the existing RB methods either do not scale to many qubits or cannot benchmark a universal gate set. Here, we introduce and demonstrate a technique for scalable RB of many universal and continuously parametrized gate sets, using a class of circuits called randomized mirror circuits. Our technique can be applied to a gate set containing an entangling Clifford gate and the set of arbitrary single-qubit gates, as well as gate sets containing controlled rotations about the Pauli axes. We use our technique to benchmark universal gate sets on four qubits of the Advanced Quantum Testbed, including a gate set containing a controlled-S gate and its inverse, and we investigate how the observed error rate is impacted by the inclusion of non-Clifford gates. Finally, we demonstrate that our technique scales to many qubits with experiments on a 27-qubit IBM Q processor. We use our technique to quantify the impact of crosstalk on this 27-qubit device, and we find that it contributes approximately 2/3 of the total error per gate in random many-qubit circuit layers.
Related Topics
Concepts
Qubit
Computer science
Quantum gate
Controlled NOT gate
Universal set
Quantum computer
Quantum circuit
Scalability
Computer engineering
Set (abstract data type)
Algorithm
Physics
Quantum error correction
Quantum
Quantum mechanics
Programming language
Database
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1103/physrevx.13.041030
- http://link.aps.org/pdf/10.1103/PhysRevX.13.041030
- OA Status
- gold
- Cited By
- 16
- References
- 60
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388668271
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4388668271Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1103/physrevx.13.041030Digital Object Identifier
- Title
-
Demonstrating Scalable Randomized Benchmarking of Universal Gate SetsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-11-14Full publication date if available
- Authors
-
Jordan Hines, Marie Lu, Ravi Naik, Akel Hashim, Jean-Loup Ville, Brad Mitchell, John Mark Kriekebaum, David I. Santiago, Stefan Seritan, Erik Nielsen, Robin Blume-Kohout, Kevin Young, Irfan Siddiqi, Birgitta Whaley, Timothy ProctorList of authors in order
- Landing page
-
https://doi.org/10.1103/physrevx.13.041030Publisher landing page
- PDF URL
-
https://link.aps.org/pdf/10.1103/PhysRevX.13.041030Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://link.aps.org/pdf/10.1103/PhysRevX.13.041030Direct OA link when available
- Concepts
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Qubit, Computer science, Quantum gate, Controlled NOT gate, Universal set, Quantum computer, Quantum circuit, Scalability, Computer engineering, Set (abstract data type), Algorithm, Physics, Quantum error correction, Quantum, Quantum mechanics, Programming language, DatabaseTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
16Total citation count in OpenAlex
- Citations by year (recent)
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2025: 7, 2024: 4, 2023: 4, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
60Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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