Difference between revisions of "Main Page"

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|<span style="padding-left:10px;font-size:130%;font-weight:bold;">Download and Install QETLAB</span><br /><div style="padding:4px 0 0 12px;">'''Step 1:''' Download [http://www.qetlab.com/source/qetlab.zip qetlab.zip] (current version: 0.20, last updated: July 16, 2013)</div><div style="padding:4px 0 0 12px;">'''Step 2:''' Unzip the file in your MATLAB scripts directory</div><div style="padding:4px 0 0 12px;">'''Step 3:''' Download and install [http://cvxr.com/cvx/ cvx]</div>
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|<span style="padding-left:10px;font-size:130%;font-weight:bold;">Download and Install QETLAB</span><br /><div style="padding:4px 0 0 12px;">'''Step 1:''' Download [http://www.qetlab.com/source/qetlab.zip qetlab.zip] (current version: 0.30, last updated: March 20, 2014)</div><div style="padding:4px 0 0 12px;">'''Step 2:''' Unzip the file in your MATLAB scripts directory</div><div style="padding:4px 0 0 12px;">'''Step 3:''' Download and install [http://cvxr.com/cvx/ cvx]</div>
 
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Revision as of 19:46, 20 March 2014

Welcome to QETLAB,
a MATLAB toolbox for quantum entanglement.
Currently contains 141 articles.
Overview · How to contribute Popular pages · A–Z index

QETLAB (Quantum Entanglement Theory LABoratory) is a MATLAB toolbox for exploring quantum entanglement theory. While there are many quantum information theory toolboxes that allow the user to perform basic tests for entanglement such as the positive partial transpose criterion, new tests are constantly discovered. The goal of QETLAB is to remain up-to-date and contain an ever-growing catalogue of separability criteria, positive maps, and related functions of interest. Furthermore, QETLAB is designed to work well both with full matrices and with large sparse matrices.

QETLAB is currently very much a work in progress – please let me know of any comments, suggestions, or bug reports that you have at: nathaniel(AT)njohnston.ca
Download.gif Download and Install QETLAB
Step 1: Download qetlab.zip (current version: 0.30, last updated: March 20, 2014)
Step 2: Unzip the file in your MATLAB scripts directory
Step 3: Download and install cvx