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http://hdl.handle.net/2289/8146
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DC Field | Value | Language |
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dc.contributor.author | Sadana, Simanraj | - |
dc.contributor.author | Maccone, Lorenzo | - |
dc.contributor.author | Sinha, Urbasi | - |
dc.date.accessioned | 2023-09-04T05:08:13Z | - |
dc.date.available | 2023-09-04T05:08:13Z | - |
dc.date.issued | 2023-08-18 | - |
dc.identifier.citation | Quantum Information Processing, 2023, Vol. 22, Article number: 317 | en_US |
dc.identifier.issn | 1570-0755 | - |
dc.identifier.uri | http://hdl.handle.net/2289/8146 | - |
dc.description | Restricted Access. An open-access version is available at arXiv.org (one of the alternative locations) | en_US |
dc.description.abstract | We use quantum computers to test the foundations of quantum mechanics through quantum algorithms that implement some of the experimental tests as the basis of the theory’s postulates. These algorithms can be used as a test of the physical theory under the premise of perfect hardware or as a test of the hardware under the premise that quantum theory is correct. In thiswork, we showhowthe algorithms can be used to test the efficacy of a quantum computer in obeying the postulates of quantum mechanics. We study the effect of different types of noise on the results of experimental tests of the postulates. A salient feature of this noise analysis is that it is deeply rooted in the fundamentals of quantum mechanics as it highlights how systematic errors affect the quantumness of the quantum computer. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.relation.uri | https://doi.org/10.1007/s11128-023-04072-4 | en_US |
dc.rights | 2023 The Author(s) | en_US |
dc.subject | quantum computing | en_US |
dc.subject | noise analysis | en_US |
dc.title | Noise analysis for the Sorkin and Peres tests performed on a quantum computer | en_US |
dc.type | Article | en_US |
Appears in Collections: | Research Papers (LAMP) |
Files in This Item:
File | Description | Size | Format | |
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2023_QIP_Vol.22_p317.pdf Restricted Access | Restricted Access | 972.01 kB | Adobe PDF | View/Open Request a copy |
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