Approximate Quantum Adders with Genetic Algorithms: An IBM Quantum Experience
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- @Article{Li:2017:QMQM,
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author = "Rui Li and Unai Alvarez-Rodriguez and Lucas Lamata and
Enrique Solano",
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title = "Approximate Quantum Adders with Genetic Algorithms: An
{IBM} Quantum Experience",
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journal = "Quantum Measurements and Quantum Metrology",
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year = "2017",
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volume = "4",
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number = "1",
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pages = "1--7",
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keywords = "genetic algorithms, genetic programming, Quantum
Information, Quantum Algorithms",
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URL = "https://arxiv.org/pdf/1611.07851",
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URL = "https://www.degruyter.com/view/j/qmetro.2017.4.issue-1/qmetro-2017-0001/qmetro-2017-0001.xml",
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DOI = "doi:10.1515/qmetro-2017-0001",
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size = "7 pages",
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abstract = "It has been proven that quantum adders are forbidden
by the laws of quantum mechanics. We analyse
theoretical proposals for the implementation of
approximate quantum adders and optimize them by means
of genetic algorithms, improving previous protocols in
terms of efficiency and fidelity. Furthermore, we
experimentally realize a suitable approximate quantum
adder with the cloud quantum computing facilities
provided by IBM Quantum Experience. The development of
approximate quantum adders enhances the toolbox of
quantum information protocols, paving the way for novel
applications in quantum technologies.",
- }
Genetic Programming entries for
Rui Li
Unai Alvarez-Rodriguez
Lucas Lamata
Enrique Solano
Citations