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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<title>ITensor - Intelligent Tensor Library</title>
<meta http-equiv="content-language" content="en" />
<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
<link rel="icon" href="favicon.ico"/>
<link rel="stylesheet" href="style.css" type="text/css"/>
<script src="http://ajax.googleapis.com/ajax/libs/jquery/1.6/jquery.min.js" type="text/javascript"></script>
<script type="text/javascript">$(document).ready(function(){});</script>
<script type="text/javascript" src="scripts/jquery.corner.js"></script>
<style type="text/css">
</style>
</head>
<body>
<div id="main">
<div id="navbar" class="rounded">
<ul>
<li><a class="thispage" href="index.html">Home</a> </li>
<li><a href="news.html">News</a> </li>
<li><a href="docs.cgi">Learn</a> </li>
<li><a href="collaboration.html">Collaboration</a></li>
</ul>
</div>
<div id="banner">
<img src="ITensor.png"/></br>
</div>
<div class="full section rounded">
<h2>Introduction</h2>
</div>
<div class="full">
<div id="download" class="rounded">
<h4>Download:</h4>
<ul>
<li><a href="https://github.com/ITensor/library/tarball/master">tar.gz</a></br>
<li><a href="https://github.com/ITensor/library/zipball/master">zip</a></br>
</ul>
Or track development via <a target="new" href="https://github.com/ITensor/library">github</a>
</div>
<p>
ITensor is a C++ library for creating efficient and flexible physics simulations based on tensor product wavefunctions.
</p>
<p>
Multiplying ITensors is just as easy as multiplying scalars: matching indices automatically find each other
and contract, making it simple to convert tensor network diagrams into correct, efficient code.
</p>
<p>
For example, the diagram below can be converted to code as
</p>
<img id="diagram" src="Diagram.png"/></br>
<p>
The ITensor library is useful on 3 levels: as a black box for performing algorithms such as DMRG,
as a platform for working with existing concepts such as matrix product states,
and as a toolkit for creating new kinds of tensor networks from scratch.
</p>
<img id="levels" src="levels.png"/></br>
</div>
<div class="full section rounded">
<h2>Applications</h2>
</div>
<div class="module lmodule">
<p>
<center>
<img width="280px" src="http://physics.aps.org/files/image_uploads/4777/thumb_e1.png">
</center>
</p>
</div>
<div class="module rmodule">
<p>
<center>
<img width="280px" src="http://physics.aps.org/files/image_uploads/4777/thumb_e1.png">
</center>
</p>
</div>
<div class="full section rounded">
<h2>Code Samples</h2>
</div>
<div class="full screenshot">
<h3>Perform a DMRG Calculation</h3>
<ul>
<li> int N = 100; </li>
<li> SpinOne model(N); </li>
<li> MPO H = Heisenberg(model); </li>
<li> MPS psi(model); </li>
<li> Real energy = dmrg(psi,H); </li>
</ul>
</div>
<div class="full screenshot">
<img src="MatrixDiagram.png" width="400px" style="float: right; margin-top:55px;"/>
<div>
<h3>Multiply Two ITensors</h3>
<ul>
<li>Index a("a",2), b("b",2), c("c",2); </li>
<li>ITensor Z(a,b), X(b,c); </li>
<li>commaInit(Z) << 1, 0,
</br>
0,-1;
<li>commaInit(X) << 0, 1,
</br>
1, 0;
<li>ITensor R = Z * X; </li>
<li>Print( R(a(1),c(2)) );</li>
<li> //Prints R(a(1),c(2)) = 1</li>
<li>Print( R(a(2),c(1)) );</li>
<li> //Prints R(a(1),c(2)) = -1</li>
</ul>
</div>
</div>
<div id="footer"></div>
</div> <!--id="main"-->
<script type="text/javascript">$(function() {$('.rounded').corner("7px");});</script>
</body>
</html>