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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
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'''[[QETLAB]]''' ('''Q'''uantum '''E'''ntanglement '''T'''heory '''LAB'''oratory) 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]]''' ('''Q'''uantum '''E'''ntanglement '''T'''heory '''LAB'''oratory) 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. | ||
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Revision as of 02:42, 31 October 2013
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| 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.
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Download and Install QETLAB Step 1: Download qetlab.zip (current version: 0.20, last updated: July 16, 2013) Step 2: Unzip the file in your MATLAB scripts directory Step 3: Download and install cvx
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