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| − | __NOTOC____NOEDITSECTION__ | + | __NOTOC____NOEDITSECTION__== QETLAB: A MATLAB Toolbox for Quantum Entanglement == |
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| − | == QETLAB: A MATLAB Toolbox for Quantum Entanglement == | ||
'''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 operations such as the [[PartialTranspose|partial transposition]], 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, and makes use of many advanced techniques based on semidefinite programming. | '''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 operations such as the [[PartialTranspose|partial transposition]], 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, and makes use of many advanced techniques based on semidefinite programming. | ||
Revision as of 17:45, 7 November 2014
QETLAB: A MATLAB Toolbox for Quantum Entanglement
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 operations such as the partial transposition, 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, and makes use of many advanced techniques based on semidefinite programming.
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Download and Install QETLAB Step 1: Download QETLAB (current version: 0.50, last updated: November 6, 2014) Step 2: Unzip the file in your MATLAB scripts directory Step 3: Download and install CVX If you need more detailed installation instructions, click here.
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