2 Search Results for "Schmitt, Dominique"


Document
Typed Compositional Quantum Computation with Lenses

Authors: Jacques Garrigue and Takafumi Saikawa

Published in: LIPIcs, Volume 309, 15th International Conference on Interactive Theorem Proving (ITP 2024)


Abstract
We propose a type-theoretic framework for describing and proving properties of quantum computations, in particular those presented as quantum circuits. Our proposal is based on an observation that, in the polymorphic type system of Coq, currying on quantum states allows one to apply quantum gates directly inside a complex circuit. By introducing a discrete notion of lens to control this currying, we are further able to separate the combinatorics of the circuit structure from the computational content of gates. We apply our development to define quantum circuits recursively from the bottom up, and prove their correctness compositionally.

Cite as

Jacques Garrigue and Takafumi Saikawa. Typed Compositional Quantum Computation with Lenses. In 15th International Conference on Interactive Theorem Proving (ITP 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 309, pp. 15:1-15:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


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@InProceedings{garrigue_et_al:LIPIcs.ITP.2024.15,
  author =	{Garrigue, Jacques and Saikawa, Takafumi},
  title =	{{Typed Compositional Quantum Computation with Lenses}},
  booktitle =	{15th International Conference on Interactive Theorem Proving (ITP 2024)},
  pages =	{15:1--15:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-337-9},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{309},
  editor =	{Bertot, Yves and Kutsia, Temur and Norrish, Michael},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITP.2024.15},
  URN =		{urn:nbn:de:0030-drops-207431},
  doi =		{10.4230/LIPIcs.ITP.2024.15},
  annote =	{Keywords: quantum programming, semantics, lens, currying, Coq, MathComp}
}
Document
CG Challenge
Computing Low-Cost Convex Partitions for Planar Point Sets Based on a Memetic Approach (CG Challenge)

Authors: Laurent Moalic, Dominique Schmitt, Julien Lepagnot, and Julien Kritter

Published in: LIPIcs, Volume 164, 36th International Symposium on Computational Geometry (SoCG 2020)


Abstract
We present a memetic approach designed to tackle the 2020 Computational Geometry Challenge on the Minimum Convex Partition problem. It is based on a simple local search algorithm hybridized with a genetic approach. The population is brought down to its smallest possible size - only 2 individuals - for a very simple implementation. This algorithm was applied to all the instances, without any specific parameterization or adaptation.

Cite as

Laurent Moalic, Dominique Schmitt, Julien Lepagnot, and Julien Kritter. Computing Low-Cost Convex Partitions for Planar Point Sets Based on a Memetic Approach (CG Challenge). In 36th International Symposium on Computational Geometry (SoCG 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 164, pp. 84:1-84:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)


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@InProceedings{moalic_et_al:LIPIcs.SoCG.2020.84,
  author =	{Moalic, Laurent and Schmitt, Dominique and Lepagnot, Julien and Kritter, Julien},
  title =	{{Computing Low-Cost Convex Partitions for Planar Point Sets Based on a Memetic Approach}},
  booktitle =	{36th International Symposium on Computational Geometry (SoCG 2020)},
  pages =	{84:1--84:9},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-143-6},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{164},
  editor =	{Cabello, Sergio and Chen, Danny Z.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2020.84},
  URN =		{urn:nbn:de:0030-drops-122423},
  doi =		{10.4230/LIPIcs.SoCG.2020.84},
  annote =	{Keywords: metaheuristics, memetic algorithms, convex partition optimization}
}
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