Self-testing of Quantum Circuits
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Self-testing is a verification process for the operations of a collection of untrusted quantum devices, and a key application of the blind computing protocol is towards such verification of quantum devices.
“Self-testing is a verification process for the operations of a collection of untrusted quantum devices [47, 48]; a key application of the blind computing protocol is also towards such verification of quantum devices [29, 30].”
From Demonstration of Blind Quantum Computing (2012) · cites this paper as [47]
The citation lists haven’t been fetched yet
References 14 · Cited by 58
- Authors
- Magniez, F., Mayers, D., Mosca, M., & Ollivier, H.
- Affiliations
- Université Paris-Sud (FR)
- California Institute of Technology (US)
- University of Waterloo (CA)
- Perimeter Institute (CA)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2006
- Pages
- 72-83
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1592754027
- Cited by
- 58
- References
- 14
- Citations by year
- 2025: 4 · 2024: 1 · 2023: 3 · 2022: 2 · 2021: 2 · 2020: 2 · 2019: 2 · 2018: 2 · 2017: 4 · 2016: 6 · 2015: 2 · 2014: 3 · 2013: 6 · 2012: 4
- FWCI
- 0.72
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Mechanics and Applications
- Keywords
- self-testing, quantum circuits, robustness
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
