Quantum Program Synthesis: Swarm Algorithms and Benchmarks
Created by W.Langdon from
gp-bibliography.bib Revision:1.8120
- @InProceedings{Atkinson:2019:EuroGP,
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author = "Timothy Atkinson and John Drake and Athena Karsa and
Jerry Swan",
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title = "Quantum Program Synthesis: Swarm Algorithms and
Benchmarks",
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booktitle = "EuroGP 2019: Proceedings of the 22nd European
Conference on Genetic Programming",
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year = "2019",
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month = "24-26 " # apr,
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editor = "Lukas Sekanina and Ting Hu and Nuno Lourenco",
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series = "LNCS",
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volume = "11451",
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publisher = "Springer Verlag",
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address = "Leipzig, Germany",
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pages = "19--34",
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organisation = "EvoStar, Species",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-030-16669-4",
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URL = "https://www.springer.com/us/book/9783030166694",
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DOI = "doi:10.1007/978-3-030-16670-0_2",
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size = "16 pages",
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abstract = "In the two decades since Shor celebrated quantum
algorithm for integer factorisation, manual design has
failed to produce the anticipated growth in the number
of quantum algorithms. Hence, there is a great deal of
interest in the automatic synthesis of quantum circuits
and algorithms. Here we present a set of experiments
which use Ant Programming to automatically synthesise
quantum circuits. In the proposed approach, ants
choosing paths in high-dimensional Cartesian space are
analogous to transformation of qubits in Hilbert space.
In addition to the proposed algorithm, we introduce new
evaluation criteria for searching the space of quantum
circuits, both for classical simulation and simulation
on a quantum computer. We demonstrate that the proposed
approach significantly outperforms random search on a
suite of benchmark problems based on these new
measures.",
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notes = "http://www.evostar.org/2019/cfp_eurogp.php#abstracts
Part of \cite{Sekanina:2019:GP} EuroGP'2019 held in
conjunction with EvoCOP2019, EvoMusArt2019 and
EvoApplications2019",
- }
Genetic Programming entries for
Timothy Atkinson
John H Drake
Athena Karsa
Jerry Swan
Citations