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+(/home/sh/lib/texmf/template/ACCESS_latex_template_20240429/IEEEtran.cls
+
+LaTeX Warning: You have requested document class `ieeetran',
+               but the document class provides `IEEEtran'.
+
 Document Class: IEEEtran 2015/08/26 V1.8b by Michael Shell
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 -- http://www.michaelshell.org/tex/ieeetran/
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 LaTeX Info: Redefining \nocite on input line 332.
 Package: cite 2015/02/27  v 5.5
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@@ -594,12 +598,12 @@ Before submitting the final camera ready copy, remember to:
 
 ] (./paper.aux) ) 
 Here is how much of TeX's memory you used:
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- 70434 string characters out of 5805610
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+ 72i,14n,76p,251b,525s stack positions out of 10000i,1000n,20000p,200000b,200000s
 
 Output written on paper.dvi (5 pages, 50812 bytes).

paper.tex

@@ -6,57 +6,21 @@
 % 
 % $Id: paper.tex,v 1.4 2020/08/27 16:31:45 ohsaki Exp ohsaki $
 % 
+\documentclass[conference, dvipdfmx, a4paper]{ieeetran}
+
+\usepackage{cite}
+\usepackage{insertfig}
+\usepackage{times}
+\usepackage{url}
+\usepackage{revhistory}
+\usepackage{amsmath}
+\usepackage{float}
+\usepackage{comment}
+\usepackage{algorithm,algpseudocode}
+\usepackage[T1]{fontenc} % bibの特殊な文字を読みこむためのやつ
 
-
-\documentclass[conference, dvipdfmx, a4paper]{IEEEtran}
-%% \documentclass[twocolumn,dvipdfmx, a4paper]{ieicejsp}
-
-
-\usepackage{cite} \usepackage{insertfig} \usepackage{times}
-\usepackage{url} \usepackage{revhistory} \usepackage{amsmath}
-\usepackage{float} \usepackage{comment} \usepackage{algorithm,
-  algpseudocode}
-
-%% insertfigでは無く
-% IEEEフォーマットで一般的に使用されるパッケージ
-%% \usepackage{cite}
-%% \usepackage[dvipdfmx]{graphicx} % 図の挿入
-%% \usepackage{amsmath} % 高度な数式表現
-%% \usepackage{url} % URLの表示
-%% \usepackage{algorithm, algpseudocode} % アルゴリズムの記述
-
-%% \importrevisions
-
-%% \makeatletter \renewcommand{\thesection}{\@arabic\c@section}
-%% \renewcommand{\thesubsection}{\thesection.\,\@arabic\c@subsection}
-%% \renewcommand{\ext@subfigure}{lof} \renewcommand{\baselinestretch}{.6}
-%% \makeatother
-
-
-
-%% \title{{\bf 通信需要を考慮した量子ネットワークの\\リンク忠実度計測手法
-%%     に関する一検討}\\ {\normalsize  A Study on Link Fidelity Measurement in Quantum Networks Considering Communication Demand }}
-
-% サブタイトルは設けず、メインタイトルに統一する。 → 最後に英語にする
 \title{通信需要を考慮した量子ネットワークのリンク忠実度計測手法}
 
-%% \author{
-%%   山近 駿   $^1$ \\ Shun Yamachika \and
-%%   柿原 悠人 $^2$ \\ Yuto Kakihara \and
-%%   井上 翔太 $^2$ \\ Shota Inoue \and
-%%   大崎 博之 $^2$ \\ Hiroyuki Ohsaki
-%% }
-
-%% \affliate{
-%%   関西学院大学 工学部 情報工学課程 $^1$ \\
-%%   Department of Computer Science, School of Engineering, Kwansei Gakuin University \\  
-%%   関西学院大学 大学院理工学部研究科 情報工学専攻 $^2$ \\
-%%   Department of Informatics, Graduate School of Science and
-%%   Technology, Kwansei Gakuin University \\
-%% }%% fixme: 所属が正しいか確認しておいてください。 -shota
-
-% --- 著者情報 ---
-% IEEE指定のフォーマットで著者と所属を記述します。
 \author{
     \IEEEauthorblockN{山近 駿\IEEEauthorrefmark{1}, 柿原 悠人\IEEEauthorrefmark{2}, 井上 翔太\IEEEauthorrefmark{2}, 大崎 博之\IEEEauthorrefmark{2}}
     \IEEEauthorblockA{\IEEEauthorrefmark{1}関西学院大学 工学部 情報工学課程}
@@ -65,10 +29,10 @@
     % \IEEEauthorblockA{Email: \IEEEauthorrefmark{1}shun@lsnl.jp, \IEEEauthorrefmark{2}\{yuto, shota, ohsaki\}@lsnl.jp}
 }
 
-%% \renewcommand{\baselinestretch}{0.005}
 
-\usepackage[T1]{fontenc} % bibの特殊な文字を読みこむためのやつ
 
+
+
 \begin{document}
 \setlength{\parskip}{0.2pt}  % 段落間の余白をゼロにする
 
@@ -87,28 +51,13 @@
 
 \end{abstract}
 
-% --- キーワード ---
 \begin{IEEEkeywords}
 量子ネットワーク, 忠実度計測, 資源配分, 通信需要, 貪欲法
 \end{IEEEkeywords}
+
+
 
 \section{はじめに}
-%% ### トピックセンテンス
-
-%% 1.  量子コンピュータ間を接続する量子ネットワークは、次世代の通信基盤として大きな期待が寄せられている。
-%% 2.  量子ネットワーク上で高信頼な通信を実現するには、経由する物理リンクが高い忠実度を保つことが不可欠である。
-%% 3.  したがって、ネットワーク内に存在する多数の物理リンクの中から、忠実度の高いものを効率的に選択する技術が極めて重要となる。
-%% 4.  しかし、各リンクの忠実度を正確に推定するには多数回の量子測定が必要となり、その測定コストが実用上の大きな制約となる。
-%% 5.  限られた測定資源をいかに効率的に配分し、高忠実度なリンクを特定するかが重要な課題である。
-%% 6.  この課題に対する有望な解決策として、測定コストを削減しつつ高忠実度リンクを特定する LinkSelFiE が提案されている。
-%% 7.  LinkSelFiE は、統計的な探索アルゴリズムを用いることで、最も忠実度の高いリンクを効率的に特定する優れた手法である。
-%% 8.  一方で、LinkSelFiE の問題設定では、全ての通信経路候補が均等な重要度を持つことを前提としている。
-%% 9.  実際のネットワーク運用では、アプリケーションの要求などに応じて通信経路ごとに重要度は異なり、均等に扱うことが最善とは限らない。
-%% 10. ネットワーク全体の価値を最大化するためには、各通信経路の重要度、すなわち通信需要を考慮した資源配分が求められる。
-%% 11. LinkSelFiE は優れたリンク特定手法であるが、通信需要という新たな指標を組み合わせることで、さらに実用性を高められる可能性がある。
-%% 12. そこで本研究では、通信需要の概念を導入し、測定資源をより価値の高い通信経路へ優先的に配分する新たな手法を提案する。
-%% 13. 具体的には、各通信経路の重要度と推定忠実度の積をその経路の価値と定義し、ネットワーク全体の総価値を最大化する問題として定式化する。
-%% 14. この問題に対し、本稿では効率的な近似解法として、広域的な探索と集中的な活用から成る二段階貪欲法を提案する。
 
 量子コンピュータ間を接続する量子ネットワークは、次世代の通信基盤として
 大きな期待が寄せられている。複数の量子プロセッサを大規模に連携させる分